{"id":82,"date":"2020-01-24T11:06:03","date_gmt":"2020-01-24T10:06:03","guid":{"rendered":"http:\/\/platon.etsii.urjc.es\/wordpress\/?page_id=82"},"modified":"2020-10-14T22:09:23","modified_gmt":"2020-10-14T22:09:23","slug":"publications","status":"publish","type":"page","link":"http:\/\/www.ia.urjc.es\/GIA\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
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adaptation<\/a><\/span> Agreement Technologies<\/a><\/span> AI&Law<\/a><\/span> Analytical models;Costs;Computational modeling;Scalability;Robot kinematics;Agricultural machinery;Batteries;Resource management;Cybernetics;Task assignment;three-index assignment problem;multi agent task allocation;task allocation with implements<\/a><\/span> architecture<\/a><\/span> artificial intelligence<\/a><\/span> Column generation<\/a><\/span> Complex Event Processing<\/a><\/span> Cooperatives<\/a><\/span> dblp<\/a><\/span> decision-making<\/a><\/span> distributed optimization<\/a><\/span> Egalitarian welfare<\/a><\/span> Fairness<\/a><\/span> Intelligent Agents<\/a><\/span> Internet of things<\/a><\/span> MAS<\/a><\/span> multi-agent systems<\/a><\/span> ontologies<\/a><\/span> Scalability;Collaboration;Organizations;Routing;Robustness;Regulation;Computational efficiency;multi-agent system;distributed computing;column generation;vehicle routing problem;fairness;profit sharing<\/a><\/span> Schedules;Time-frequency analysis;Sensitivity;Heuristic algorithms;Roads;Fatigue;Emergency services;Emergency service;dynamic break scheduling;dynamic shift scheduling;vehicle crew assignment;service operations scheduling<\/a><\/span> self-organising<\/a><\/span> Semantic Web<\/a><\/span> Simulation<\/a><\/span> value interaction<\/a><\/span> value system<\/a><\/span> Vehicle Routing Problem ; multiple traveling salesman problem ; intelligent vehicles ; collaborative routing ; fair and efficient routing<\/a><\/span> video games<\/a><\/span> Virtual Agents<\/a><\/span> VRP with time windows<\/a><\/span> <\/div>
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423 entries<\/span> «<\/a> ‹<\/a> 1 of 9 ›<\/a> »<\/a> <\/div><\/div>\r\n \r\n \r\n \r\n \r\n
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2026<\/h3>\r\n <\/td>\r\n <\/tr>

1.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s; Vamplew, Peter; Dazeley, Richard; Ossowski, Sascha; Billhardt, Holger<\/p>

Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>The 25th International Conference on Autonomous Agents and Multi-Agent Systems, <\/span>2026<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

2.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s; Billhardt, Holger; Fern\u00e1ndez, Alberto; Ossowski, Sascha<\/p>

Learning the value systems of agents with preference-based and inverse reinforcement learning<\/a> Journal Article<\/span> <\/p>

In: <\/span>Autonomous Agents and Multi-Agent Systems, <\/span>vol. 40, <\/span>pp. 4, <\/span>2026<\/span>, ISSN: 1387-2532<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@article{holgados\u00e1nchez2026learning-fb9,
\r\ntitle = {Learning the value systems of agents with preference-based and inverse reinforcement learning},
\r\nauthor = {Andr\u00e9s Holgado-S\u00e1nchez and Holger Billhardt and Alberto Fern\u00e1ndez and Sascha Ossowski},
\r\nurl = {https:\/\/rdcu.be\/e14qQ},
\r\ndoi = {10.1007\/s10458-026-09732-0},
\r\nissn = {1387-2532},
\r\nyear  = {2026},
\r\ndate = {2026-01-01},
\r\nurldate = {2026-01-01},
\r\njournal = {Autonomous Agents and Multi-Agent Systems},
\r\nvolume = {40},
\r\npages = {4},
\r\nabstract = {Agreement Technologies refer to open computer systems in which autonomous software agents interact with one another, typically on behalf of humans, in order to come to mutually acceptable agreements. With the advance of AI systems in recent years, it has become apparent that such agreements, in order to be acceptable to the involved parties, must remain aligned with ethical principles and moral values. However, this is notoriously difficult to ensure, especially as different human users (and their software agents) may hold different value systems, i.e. they may differently weigh the importance of individual moral values. Furthermore, it is often hard to specify the precise meaning of a value in a particular context in a computational manner. Methods to estimate value systems based on human-engineered specifications, e.g. based on value surveys, are limited in scale due to the need for intense human moderation. In this article, we propose a novel method to automatically learn value systems from observations and human demonstrations. In particular, we propose a formal model of the value system learning problem, its instantiation to sequential decision-making domains based on multi-objective Markov decision processes, as well as tailored preference-based and inverse reinforcement learning algorithms to infer value grounding functions and value systems. The approach is illustrated and evaluated by two simulated use cases.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
Agreement Technologies refer to open computer systems in which autonomous software agents interact with one another, typically on behalf of humans, in order to come to mutually acceptable agreements. With the advance of AI systems in recent years, it has become apparent that such agreements, in order to be acceptable to the involved parties, must remain aligned with ethical principles and moral values. However, this is notoriously difficult to ensure, especially as different human users (and their software agents) may hold different value systems, i.e. they may differently weigh the importance of individual moral values. Furthermore, it is often hard to specify the precise meaning of a value in a particular context in a computational manner. Methods to estimate value systems based on human-engineered specifications, e.g. based on value surveys, are limited in scale due to the need for intense human moderation. In this article, we propose a novel method to automatically learn value systems from observations and human demonstrations. In particular, we propose a formal model of the value system learning problem, its instantiation to sequential decision-making domains based on multi-objective Markov decision processes, as well as tailored preference-based and inverse reinforcement learning algorithms to infer value grounding functions and value systems. The approach is illustrated and evaluated by two simulated use cases.<\/div>
Close<\/a><\/p><\/div>
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2025<\/h3>\r\n <\/td>\r\n <\/tr>

3.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s; Ossowski, Sascha; Billhardt, Holger<\/p>

An Architecture for Learning Context-based Value Systems<\/a> Journal Article<\/span> <\/p>

In: <\/span>Proceedings of the AAAI Symposium Series, <\/span>vol. 6, <\/span>no. 1, <\/span>pp. 99-101, <\/span>2025<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

4.<\/td>

Haz, Lidice; Rodr\u00edguez\u2010Garc\u00eda, Miguel \u00c1ngel; Fern\u00e1ndez, Alberto<\/p>

Using Deep Neural Networks Architectures to Identify Narcissistic Personality Traits<\/a> Journal Article<\/span> <\/p>

In: <\/span>Expert Systems, <\/span>vol. 42, <\/span>no. 6, <\/span>2025<\/span>, ISSN: 1468-0394<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

5.<\/td>

Pina-Zapata, Alicia; Garc\u00eda-Rodriguez, Sara; Karanik, Marcelo<\/p>

Value-Aligned Decisions in Cooperative Environments Proceedings Article<\/span> <\/p>

In: <\/span> Gonz\u00e1lez-Briones, Alfonso; Inglada, Vicente Julian; Bolock, Alia El; Marco-Detchart, Cedric; Jordan, Jaume; Mason, Karl; Lopes, Fernando; Sharaf, Nada (Ed.): Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection, <\/span>pp. 76\u201387, <\/span>Springer Nature Switzerland, <\/span>Cham, <\/span>2025<\/span>, ISBN: 978-3-031-73058-0<\/span>.<\/p>

Abstract<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@inproceedings{10.1007\/978-3-031-73058-0_7,
\r\ntitle = {Value-Aligned Decisions in Cooperative Environments},
\r\nauthor = {Alicia Pina-Zapata and Sara Garc\u00eda-Rodriguez and Marcelo Karanik},
\r\neditor = {Alfonso Gonz\u00e1lez-Briones and Vicente Julian Inglada and Alia El Bolock and Cedric Marco-Detchart and Jaume Jordan and Karl Mason and Fernando Lopes and Nada Sharaf},
\r\nisbn = {978-3-031-73058-0},
\r\nyear  = {2025},
\r\ndate = {2025-01-01},
\r\nbooktitle = {Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection},
\r\npages = {76\u201387},
\r\npublisher = {Springer Nature Switzerland},
\r\naddress = {Cham},
\r\nabstract = {When individuals share resources, they may have to make decisions that don't always maximize their benefits. Unfortunately, some people may have selfish attitudes, which can result in unfair situations that reduce the overall benefits for everyone. One alternative solution to this problem is cooperation. In this approach, individuals give up some benefits to benefit the group. This attitude is heavily influenced by the human values of the individuals involved and can impact the decision-making process. This paper examines how an agent's behaviour in the iterated prisoner's dilemma game, as provided by game theory, can be influenced by Schwartz's ten basic values theory. The experiments show that when the agent follows Schwartz's order of preferences for values, it tends to take cooperative actions. On the other hand, when the agent prioritizes values associated with individualism, it results in low overall benefits.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
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6.<\/td>

Fidilio-Allende, Luciana; Arias, Joaqu\u00edn<\/p>

Private-Safe (Logic-Based) Decision Systems for\u00a0Energy Assignment in\u00a0Agricultural Cooperatives Proceedings Article<\/span> <\/p>

In: <\/span> Gonz\u00e1lez-Briones, Alfonso; Inglada, Vicente Julian; Bolock, Alia El; Marco-Detchart, Cedric; Jordan, Jaume; Mason, Karl; Lopes, Fernando; Sharaf, Nada (Ed.): Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection, <\/span>pp. 40\u201351, <\/span>Springer Nature Switzerland, <\/span>Cham, <\/span>2025<\/span>, ISBN: 978-3-031-73058-0<\/span>.<\/p>

Abstract<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@inproceedings{10.1007\/978-3-031-73058-0_4,
\r\ntitle = {Private-Safe (Logic-Based) Decision Systems for\u00a0Energy Assignment in\u00a0Agricultural Cooperatives},
\r\nauthor = {Luciana Fidilio-Allende and Joaqu\u00edn Arias},
\r\neditor = {Alfonso Gonz\u00e1lez-Briones and Vicente Julian Inglada and Alia El Bolock and Cedric Marco-Detchart and Jaume Jordan and Karl Mason and Fernando Lopes and Nada Sharaf},
\r\nisbn = {978-3-031-73058-0},
\r\nyear  = {2025},
\r\ndate = {2025-01-01},
\r\nbooktitle = {Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection},
\r\npages = {40\u201351},
\r\npublisher = {Springer Nature Switzerland},
\r\naddress = {Cham},
\r\nabstract = {Technological advances, such as artificial intelligence, would be\u00a0of great help to improve the agricultural sector, not only in terms\u00a0of its efficiency, but also to improve environmental and social aspects. One possible application is the automation of decision making \u2013administrative, commercial, logistical, etc.\u2013 since it\u00a0would speed up the decision-making process and improve the results obtained (for example, by considering the common interest\u00a0in collaborative environments). But, these automated decision makers should only be trusted if\u00a0they have the ability to explain their decisions, so that they can\u00a0be properly audited. Logic-based models have an edge over other machine learning techniques in complying with this principle due to\u00a0their inherent explainability. However, logic based models and their explanations may expose sensitive information, e.g., business secrets. In this work, we propose the use of s(CASP), a reasoner that\u00a0is capable of providing explanations for their decisions, and\u00a0to protect the confidentiality of the users we use $$f_CASP$$fCASP,\u00a0a forgetting operator that removes sensitive data (from the model\u00a0and the explanations) without affecting the decision. In this paper, we present as use case, the energy assignment\u00a0in agricultural cooperatives, where the cooperative is responsible\u00a0for the generation and distribution of the energy. In this scenario, we consider that the energy assignment must follow human values, such as fairness, and not utility functions.\u00a0To compute the fairness function we use as a guide the principles\u00a0of the Common Agricultural Policy.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
Technological advances, such as artificial intelligence, would be\u00a0of great help to improve the agricultural sector, not only in terms\u00a0of its efficiency, but also to improve environmental and social aspects. One possible application is the automation of decision making \u2013administrative, commercial, logistical, etc.\u2013 since it\u00a0would speed up the decision-making process and improve the results obtained (for example, by considering the common interest\u00a0in collaborative environments). But, these automated decision makers should only be trusted if\u00a0they have the ability to explain their decisions, so that they can\u00a0be properly audited. Logic-based models have an edge over other machine learning techniques in complying with this principle due to\u00a0their inherent explainability. However, logic based models and their explanations may expose sensitive information, e.g., business secrets. In this work, we propose the use of s(CASP), a reasoner that\u00a0is capable of providing explanations for their decisions, and\u00a0to protect the confidentiality of the users we use $$f_CASP$$fCASP,\u00a0a forgetting operator that removes sensitive data (from the model\u00a0and the explanations) without affecting the decision. In this paper, we present as use case, the energy assignment\u00a0in agricultural cooperatives, where the cooperative is responsible\u00a0for the generation and distribution of the energy. In this scenario, we consider that the energy assignment must follow human values, such as fairness, and not utility functions.\u00a0To compute the fairness function we use as a guide the principles\u00a0of the Common Agricultural Policy.<\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
7.<\/td>

Guti\u00e9rrez-Cejudo, Jorge; Enguix-Andr\u00e9s, Francisco; Lujak, Marin; Carrascosa, Carlos; Hern\u00e1ndez-L\u00f3pez, Luis; Rebollo, Miguel; Fern\u00e1ndez, Alberto<\/p>

Demo of\u00a0the\u00a0Agri-RO5 Architecture for\u00a0Agrirobot Fleet Simulation<\/a> Proceedings Article<\/span> <\/p>

In: <\/span> Mathieu, Philippe; la Prieta, Fernando De (Ed.): Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection, <\/span>pp. 337\u2013342, <\/span>Springer Nature Switzerland, <\/span>Cham, <\/span>2025<\/span>, ISBN: 978-3-031-70415-4<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@inproceedings{10.1007\/978-3-031-70415-4_30,
\r\ntitle = {Demo of\u00a0the\u00a0Agri-RO5 Architecture for\u00a0Agrirobot Fleet Simulation},
\r\nauthor = {Jorge Guti\u00e9rrez-Cejudo and Francisco Enguix-Andr\u00e9s and Marin Lujak and Carlos Carrascosa and Luis Hern\u00e1ndez-L\u00f3pez and Miguel Rebollo and Alberto Fern\u00e1ndez},
\r\neditor = {Philippe Mathieu and Fernando De la Prieta},
\r\ndoi = {10.1007\/978-3-031-70415-4_30},
\r\nisbn = {978-3-031-70415-4},
\r\nyear  = {2025},
\r\ndate = {2025-01-01},
\r\nurldate = {2025-01-01},
\r\nbooktitle = {Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection},
\r\npages = {337\u2013342},
\r\npublisher = {Springer Nature Switzerland},
\r\naddress = {Cham},
\r\nabstract = {The growing demand for sustainable and high-yield agriculture necessitates the deployment of autonomous, cost-effective, and resilient agricultural robot (agrirobot) fleets, particularly in labor-scarce rural areas with challenging working conditions. This paper presents the demo of the novel multi-agent architecture, Agri-RO5, for realistic simulation of dynamic agrirobot fleet coordination methods. The Agri-RO5 approach tackles the challenges in rural settings, including low connectivity and geographically dispersed farms. Our long-term goal is to develop digital twins to optimize real-world fleet performance. Agri-RO5 is implemented in Unity-3D, Robot Operating System (ROS), and an extension of the existing package Patrolling SIM to achieve high simulation fidelity representing real-world conditions. The integration allows the coordination solution into the controllers of actual physical robotic systems and ensures that simulations closely match real-world scenarios. Our system prioritizes a highly distributed architecture facilitated by incorporating SPADE3 and FIVE. SPADE3 provides a framework for developing and executing scalable multi-agent systems, while FIVE offers the creation of the environment and provides mechanisms to interact with the environment.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
8.<\/td>

Karanik, Marcelo; Bernab\u00e9-S\u00e1nchez, Iv\u00e1n; Fern\u00e1ndez, Alberto<\/p>

Intelligent IoT Framework for Home Ambient Welfare<\/a> Proceedings Article<\/span> <\/p>

In: <\/span> Nongaillard, Antoine; Caron, Anne-Cecile; Gonz\u00e1lez-Briones, Alfonso; Fern\u00e1ndez, Alberto; Dur\u00e3es, Dalila; Sharaf, Nada (Ed.): Highlights in Practical Applications of Agents, Multi-Agent Systems and Computational Social Science. The PAAMS Collection, <\/span>pp. 91\u2013102, <\/span>Springer Nature Switzerland, <\/span>Cham, <\/span>2025<\/span>, ISBN: 978-3-032-05925-3<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

9.<\/td>

Lujak, Marin; Fern\u00e1ndez, Alberto; Mart\u00ednez, Miguel \u00c1ngel Garc\u00eda<\/p>

Towards a Decentralized Digital Twin for Waste Collection Fleets<\/a> Proceedings Article<\/span> <\/p>

In: <\/span> Nongaillard, Antoine; Caron, Anne-Cecile; Gonz\u00e1lez-Briones, Alfonso; Fern\u00e1ndez, Alberto; Dur\u00e3es, Dalila; Sharaf, Nada (Ed.): Highlights in Practical Applications of Agents, Multi-Agent Systems and Computational Social Science. The PAAMS Collection, <\/span>pp. 79\u201390, <\/span>Springer Nature Switzerland, <\/span>Cham, <\/span>2025<\/span>, ISBN: 978-3-032-05925-3<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

10.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s; Billhardt, Holger; Ossowski, Sascha; Degli-Esposti, Sara<\/p>

Learning the Value Systems of Societies from Preferences<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>Proc. Europ. Conf. on AI (ECAI 2025), <\/span>pp. 1121-1130, <\/span>2025<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

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2024<\/h3>\r\n <\/td>\r\n <\/tr>

11.<\/td>

Karanik, Marcelo; Pina-Zapata, Alicia; Garc\u00eda-Rodr\u00edguez, Sara<\/p>

Imbalance Management on Free-Floating VSS: A Multi-agent Model Approach<\/a> Book Chapter<\/span> <\/p>

In: <\/span>Progress in Artificial Intelligence, <\/span>pp. 246\u2013257, <\/span>Springer Nature Switzerland, <\/span>2024<\/span>, ISSN: 1611-3349<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

12.<\/td>

Fidilio-Allende, Luciana; Arias, Joaqu\u00edn<\/p>

fCASP: A forgetting technique for XAI based on goal-directed constraint ASP models<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

13.<\/td>

Lujak, Marin; Salvatore, Alessio; Fern\u00e1ndez, Alberto; Giordani, Stefano; Cousy, Kendal<\/p>

How to fairly and efficiently assign tasks in individually rational agents\u2019 coalitions? Models and fairness measures<\/a> Journal Article<\/span> <\/p>

In: <\/span>Computer Science and Information Systems, <\/span>vol. 21, <\/span>iss. 1, <\/span>pp. 269-289, <\/span>2024<\/span>, ISSN: 2406-1018<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

14.<\/td>

Guti\u00e9rrez-Cejudo, Jorge; Enguix-Andr\u00e9s, Francisco; Lujak, Marin; Carrascosa, Carlos; Fernandez, Alberto; Hern\u00e1ndez-L\u00f3pez, Lu\u00eds<\/p>

Towards Agrirobot Digital Twins: Agri-RO5\u2014 A Multi-Agent Architecture for Dynamic Fleet Simulation<\/a> Journal Article<\/span> <\/p>

In: <\/span>Electronics, <\/span>vol. 13, <\/span>no. 1, <\/span>pp. 1\u201320, <\/span>2024<\/span>, ISSN: 2079-9292<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

15.<\/td>

Karanik, Marcelo; Bernab\u00e9-S\u00e1nchez, Iv\u00e1n; Fern\u00e1ndez, Alberto<\/p>

Ontological Modeling and Clustering Techniques for Service Allocation on the Edge: A Comprehensive Framework<\/a> Journal Article<\/span> <\/p>

In: <\/span>Electronics, <\/span>vol. 13, <\/span>no. 3, <\/span>2024<\/span>, ISSN: 2079-9292<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@article{Karanik2024electronics,
\r\ntitle = {Ontological Modeling and Clustering Techniques for Service Allocation on the Edge: A Comprehensive Framework},
\r\nauthor = {Marcelo Karanik and Iv\u00e1n Bernab\u00e9-S\u00e1nchez and Alberto Fern\u00e1ndez},
\r\nurl = {https:\/\/www.mdpi.com\/2079-9292\/13\/3\/477},
\r\ndoi = {10.3390\/electronics13030477},
\r\nissn = {2079-9292},
\r\nyear  = {2024},
\r\ndate = {2024-01-01},
\r\njournal = {Electronics},
\r\nvolume = {13},
\r\nnumber = {3},
\r\nabstract = {Nowadays, we are in a world of large amounts of heterogeneous devices with varying computational resources, ranging from small devices to large supercomputers, located on the cloud, edge or other abstraction layers in between. At the same time, software tasks need to be performed. They have specific computational or other types of requirements and must also be executed at a particular physical location. Moreover, both services and devices may change dynamically. In this context, methods are needed to effectively schedule efficient allocations of services to computational resources. In this article, we present a framework to address this problem. Our proposal first uses knowledge graphs for describing software requirements and the availability of resources for services and computing nodes, respectively. To this end, we proposed an ontology that extends our previous work. Then, we proposed a hierarchical filtering approach to decide the best allocation of services to computational nodes. We carried out simulations to evaluate four different clustering strategies. The results showed different performances in terms of the number of allocated services and node overload.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
16.<\/td>

L\u00f3pez-S\u00e1nchez, Aitor; Lujak, Marin; Semet, Fr\u00e9d\u00e9ric; Billhardt, Holger<\/p>

Dynamic, fair, and efficient routing for cooperative autonomous vehicle fleets<\/a> Journal Article<\/span> <\/p>

In: <\/span>Expert Systems with Applications, <\/span>vol. 251, <\/span>pp. 123964, <\/span>2024<\/span>, ISSN: 0957-4174<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span>Column generation<\/a>, Cooperatives<\/a>, distributed optimization<\/a>, Egalitarian welfare<\/a>, Fairness<\/a>, Multi-agent coordination<\/a>, VRP with time windows<\/a><\/p>

@article{SANCHEZ2024123964,
\r\ntitle = {Dynamic, fair, and efficient routing for cooperative autonomous vehicle fleets},
\r\nauthor = {Aitor L\u00f3pez-S\u00e1nchez and Marin Lujak and Fr\u00e9d\u00e9ric Semet and Holger Billhardt},
\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417424008303},
\r\ndoi = {https:\/\/doi.org\/10.1016\/j.eswa.2024.123964},
\r\nissn = {0957-4174},
\r\nyear  = {2024},
\r\ndate = {2024-01-01},
\r\nurldate = {2024-01-01},
\r\njournal = {Expert Systems with Applications},
\r\nvolume = {251},
\r\npages = {123964},
\r\nabstract = {This paper addresses challenges in agricultural cooperative autonomous fleet routing through the proposition, modeling, and resolution of the Dynamic Vehicle Routing Problem with Fair Profits and Time Windows (DVRP-FPTW). The aim is to dynamically optimize routes for a vehicle fleet serving tasks within assigned time windows, emphasizing fair and efficient solutions. Our DVRP-FPTW accommodates unforeseen events like task modifications or vehicle breakdowns, ensuring adherence to task demand, vehicle capacities, and autonomies. The proposed model incorporates mandatory and optional tasks, including optional ones in operational vehicle routes if not compromising the vehicles\u2019 profits. Including asynchronous and distributed column generation heuristics, the proposed Multi-Agent-based architecture DIMASA for the DVRP-FPTW dynamically adapts to unforeseen events. Systematic Egalitarian social welfare optimization is used to iteratively maximize the profit of the least profitable vehicle, prioritizing fairness across the fleet in light of unforeseen events. This improves upon existing dynamic and multi-period VRP models that rely on prior knowledge of demand changes. Our approach allows vehicle agents to maintain privacy while sharing minimal local data with a fleet coordinator agent. We propose publicly available benchmark instances for both static and dynamic VRP-FPTW. Simulation results demonstrate the effectiveness of our DVRP-FPTW model and our multi-agent system solution approach in coordinating large, dynamically evolving cooperative autonomous fleets fairly and efficiently in close to real-time.},
\r\nkeywords = {Column generation, Cooperatives, distributed optimization, Egalitarian welfare, Fairness, Multi-agent coordination, VRP with time windows},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
This paper addresses challenges in agricultural cooperative autonomous fleet routing through the proposition, modeling, and resolution of the Dynamic Vehicle Routing Problem with Fair Profits and Time Windows (DVRP-FPTW). The aim is to dynamically optimize routes for a vehicle fleet serving tasks within assigned time windows, emphasizing fair and efficient solutions. Our DVRP-FPTW accommodates unforeseen events like task modifications or vehicle breakdowns, ensuring adherence to task demand, vehicle capacities, and autonomies. The proposed model incorporates mandatory and optional tasks, including optional ones in operational vehicle routes if not compromising the vehicles\u2019 profits. Including asynchronous and distributed column generation heuristics, the proposed Multi-Agent-based architecture DIMASA for the DVRP-FPTW dynamically adapts to unforeseen events. Systematic Egalitarian social welfare optimization is used to iteratively maximize the profit of the least profitable vehicle, prioritizing fairness across the fleet in light of unforeseen events. This improves upon existing dynamic and multi-period VRP models that rely on prior knowledge of demand changes. Our approach allows vehicle agents to maintain privacy while sharing minimal local data with a fleet coordinator agent. We propose publicly available benchmark instances for both static and dynamic VRP-FPTW. Simulation results demonstrate the effectiveness of our DVRP-FPTW model and our multi-agent system solution approach in coordinating large, dynamically evolving cooperative autonomous fleets fairly and efficiently in close to real-time.<\/div>
Close<\/a><\/p><\/div>
17.<\/td>

Karanik, Marcelo; Billhardt, Holger; Fern\u00e1ndez, Alberto; Ossowski, Sascha<\/p>

On the relevance of value system structure for automated value-aligned decision-making<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>Proceedings of the 39th ACM\/SIGAPP Symposium on Applied Computing, <\/span>pp. 679\u2013686, <\/span>Association for Computing Machinery, <\/span>Avila, Spain, <\/span>2024<\/span>, ISBN: 9798400702433<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span>decision-making<\/a>, value interaction<\/a>, value system<\/a>, value-aware engineering<\/a><\/p>

@inproceedings{Karanik2024SAC,
\r\ntitle = {On the relevance of value system structure for automated value-aligned decision-making},
\r\nauthor = {Marcelo Karanik and Holger Billhardt and Alberto Fern\u00e1ndez and Sascha Ossowski},
\r\nurl = {https:\/\/doi.org\/10.1145\/3605098.3636057},
\r\ndoi = {10.1145\/3605098.3636057},
\r\nisbn = {9798400702433},
\r\nyear  = {2024},
\r\ndate = {2024-01-01},
\r\nurldate = {2024-01-01},
\r\nbooktitle = {Proceedings of the 39th ACM\/SIGAPP Symposium on Applied Computing},
\r\npages = {679\u2013686},
\r\npublisher = {Association for Computing Machinery},
\r\naddress = {Avila, Spain},
\r\nseries = {SAC '24},
\r\nabstract = {Technological advances, especially in the field of artificial intelligence, raise subjects related to the behaviour of autonomous systems. The ability to judge how far some behaviour is ethically correct is inherent to humans, and one of the great challenges is to replicate such ability in artificial systems. Engineering, aware that human values must be considered in the decision-making process, is currently focused on developing mechanisms to embed these values into autonomous systems. This article proposes a decision model that enables autonomous intelligent agents to select actions that are aligned with their value system. It considers not only the relevance that different values have for an agent, and how much an action promotes a certain value, but also models in a rigorous manner the interaction of different values within a value system. An instantiation of the model is put forward, based on Schwartz's basic values theory, non-additive fuzzy measures, and the discrete Choquet integral. Then the performance of the approach is illustrated by determining the value alignment of different decisions using the well-known iterated prisoner's dilemma.},
\r\nkeywords = {decision-making, value interaction, value system, value-aware engineering},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
18.<\/td>

Karanik, Marcelo; Billhardt, Holger; Fern\u00e1ndez, Alberto; Ossowski, Sascha<\/p>

Exploiting Value System Structure for Value-Aligned Decision-Making<\/a> Proceedings Article<\/span> <\/p>

In: <\/span> Osman, Nardine; Steels, Luc (Ed.): Value Engineering in Artificial Intelligence, <\/span>pp. 180\u2013196, <\/span>Springer Nature Switzerland, <\/span>Cham, <\/span>2024<\/span>, ISBN: 978-3-031-58202-8<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@inproceedings{VALE2023Karanik,
\r\ntitle = {Exploiting Value System Structure for Value-Aligned Decision-Making},
\r\nauthor = {Marcelo Karanik and Holger Billhardt and Alberto Fern\u00e1ndez and Sascha Ossowski},
\r\neditor = {Nardine Osman and Luc Steels},
\r\ndoi = {10.1007\/978-3-031-58202-8_11},
\r\nisbn = {978-3-031-58202-8},
\r\nyear  = {2024},
\r\ndate = {2024-01-01},
\r\nbooktitle = {Value Engineering in Artificial Intelligence},
\r\npages = {180\u2013196},
\r\npublisher = {Springer Nature Switzerland},
\r\naddress = {Cham},
\r\nabstract = {Nowadays, Artificial Intelligence faces a significant challenge in implementing ethical behaviour in autonomous agents. The development of technologies that consider human values in the decision-making process of such agents is crucial. While this feature should be included in the agent's design objectives, the primary goal is to build value-aware agents that act appropriately in changing environments. This requires the creation of mechanisms that support the agent's own value system. This paper presents a model of an agent that makes decisions based on its value system and a value promotion scheme for available actions. The model uses a fuzzy measure to represent the value system, and aggregation operators to determine the action that best aligns with the agent's preferences. Schwartz's basic value theory and Choquet's discrete integral are used as an example of model implementation. Finally, the model is illustrated by determining the value alignment of different decisions in a simplified tax-paying context.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
19.<\/td>

Fern\u00e1ndez-Mart\u00ednez, Carmen; Fern\u00e1ndez, Alberto<\/p>

Value-Based Reasoning Scenario in Employee Hiring and Onboarding Using Answer Set Programming<\/a> Proceedings Article<\/span> <\/p>

In: <\/span> Osman, Nardine; Steels, Luc (Ed.): Value Engineering in Artificial Intelligence, <\/span>pp. 251\u2013260, <\/span>Springer Nature Switzerland, <\/span>Cham, <\/span>2024<\/span>, ISBN: 978-3-031-58202-8<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@inproceedings{VALE2023Fernandez,
\r\ntitle = {Value-Based Reasoning Scenario in Employee Hiring and Onboarding Using Answer Set Programming},
\r\nauthor = {Carmen Fern\u00e1ndez-Mart\u00ednez and Alberto Fern\u00e1ndez},
\r\neditor = {Nardine Osman and Luc Steels},
\r\ndoi = {10.1007\/978-3-031-58202-8_15},
\r\nisbn = {978-3-031-58202-8},
\r\nyear  = {2024},
\r\ndate = {2024-01-01},
\r\nbooktitle = {Value Engineering in Artificial Intelligence},
\r\npages = {251\u2013260},
\r\npublisher = {Springer Nature Switzerland},
\r\naddress = {Cham},
\r\nabstract = {Privacy is one of the values that can be considered in value-based reasoning, mainly to avoid disclosing personal information and prevent, among others, age or gender discrimination. We propose a scenario of practical legal and ethical reasoning based on values that protect against the infringement of labour laws, social conventions, and moral norms in personnel selection and onboarding. It is envisaged as a mix of ethical and legal reasoner. The ethical reasoner focuses on two central human values: trustworthiness and privacy. This paper introduces a Legal and ethical reasoner based on Answer Set Programming (ASP) that enables explainable and trustworthy outcomes in recruiting processes whilst safeguarding users' privacy and disclosing avoidance of protected attributes (gender, religion, pregnancy status, etc.).},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
20.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s; Arias, Joaqu\u00edn; Billhardt, Holger; Ossowski, Sascha<\/p>

Algorithms for learning value-aligned policies considering admissibility relaxation<\/a> Miscellaneous<\/span> <\/p>

2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

21.<\/td>

Arias, Joaqu\u00edn; Moreno-Rebato, Mar; Rodr\u00edguez-Garc\u00eda, Jos\u00e9 A.; Ossowski, Sascha<\/p>

Automated legal reasoning with discretion to act using s(LAW)<\/a> Journal Article<\/span> <\/p>

In: <\/span>Artificial Intelligence and Law, <\/span>vol. 32, <\/span>no. 4, <\/span>pp. 1141\u20131164, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

22.<\/td>

Arias, Joaqu\u00edn; Moreno-Rebato, Mar; Rodr\u00edguez-Garc\u00eda, Jos\u00e9 A.; Ossowski, Sascha<\/p>

Towards value-awareness in administrative processes: an approach based on constraint answer set programming<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>39th ACM\/SIGAPP Symposium on Applied Computing, SAC'24, <\/span>pp. 770\u2013778, <\/span>ACM, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

23.<\/td>

Fidilio-Allende, Luciana; Arias, Joaqu\u00edn<\/p>

Extended abstract: fCASP - A forgetting technique for XAI based on goal-directed constraint ASP models<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>Workshops of the 40th ICLP'24, <\/span>CEUR-WS.org, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

24.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s; Bajo, Javier; Billhardt, Holger; Ossowski, Sascha; Arias, Joaqu\u00edn<\/p>

Value Learning for Value-Aligned Route Choice Modeling via Inverse Reinforcement Learning<\/a> Unpublished<\/span> <\/p>

2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

25.<\/td>

Murugesan, Anitha; Wong, Isaac Hong; Arias, Joaqu\u00edn; Stroud, Robert J.; Varadarajan, Srivatsan; Salazar, Elmer; Gupta, Gopal; Bloomfield, Robin; Rushby, John<\/p>

Automating Semantic Analysis of System Assurance Cases using Goal-directed ASP<\/a> Journal Article<\/span> <\/p>

In: <\/span>Theory and Practice of Logic Programming, <\/span>vol. To Appear, <\/span>2024<\/span>, (Special Issue on ICLP'24)<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

26.<\/td>

Va\u0161\u00ed\u010dek, Ond\u0159ej; Arias, Joaquin; Fiedor, Jan; Gupta, Gopal; Hall, Brendan; K\u0159ena, Bohuslav; Larson, Brian; Varanasi, Sarat Chandra; Vojnar, Tom\u00e1\u0161<\/p>

Early Validation of High-level System Requirements with Event Calculus and Answer Set Programming<\/a> Journal Article<\/span> <\/p>

In: <\/span>Theory and Practice of Logic Programming, <\/span>vol. To Appear, <\/span>2024<\/span>, (Special Issue on ICLP'24)<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

27.<\/td>

Zeng, Yankai; Rajashekharan, Abhiramon; Basu, Kinjal; Wang, Huaduo; Arias, Joaqu\u00edn; Gupta, Gopal<\/p>

A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASP<\/a> Journal Article<\/span> <\/p>

In: <\/span>Theory and Practice of Logic Programming, <\/span>vol. To Appear, <\/span>2024<\/span>, (Special Issue on ICLP'24)<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

28.<\/td>

Gupta, Gopal; Salazar, Elmer; Arias, Joaqu\u00edn<\/p>

Computational Thinking with Logic Programming<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>Workshops of the 40th ICLP'24, <\/span>CEUR-WS.org, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

29.<\/td>

Dasgupta, Sopam; Shakerin, Farhad; Salazar, Elmer; Arias, Joaqu\u00edn; Gupta, Gopal<\/p>

Causally Constrained Counterfactual Generation using ASP<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>Workshops of the 40th ICLP'24, <\/span>CEUR-WS.org, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

30.<\/td>

Va\u0161\u00ed\u010dek, Ond\u0159ej; Arias, Joaqu\u00edn; Fiedor, Jan; Gupta, Gopal; Hall, Brendan; Krena, Bohuslav; Larson, Brian; Varanasi, Sarat Chandra; Vojnar, Tom\u00e1s<\/p>

Extended Abstract: Early Validation of High-level System Requirements with Event Calculus and Answer Set Programming<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>Workshops of the 40th ICLP'24, <\/span>CEUR-WS.org, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

31.<\/td>

Zeng, Yankai; Rajashekharan, Abhiramon; Basu, Kinjal; Wang, Huaduo; Arias, Joaqu\u00edn; Gupta, Gopal<\/p>

Extended Abstract: A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASP<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>Workshops of the 40th ICLP'24, <\/span>CEUR-WS.org, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

32.<\/td>

Zeng, Yankai; Rajashekharan, Abhiramon; Padalkar, Parth; Basu, Kinjal; Arias, Joaqu\u00edn; Gupta, Gopal<\/p>

Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>26th Int'l. Symposium on Practical Aspects of Declarative Languages, PADL'24, <\/span>pp. 204\u2013222, <\/span>Springer, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

33.<\/td>

Varadarajan, Srivatsan; Bloomfield, Robin; Rushby, John; Gupta, Gopal; Murugesan, Anitha; Stroud, Robert J.; Netkachova, Kateryna; Wong, Isaac Hong; Arias, Joaqu\u00edn<\/p>

Enabling Theory-Based Continuous Assurance: A Coherent Approach with Semantics and Automated Synthesis<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>Workshops of the 43rd SAFECOMP'24, <\/span>pp. 173\u2013187, <\/span>Springer, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

34.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s; Billhardt, Holger; Ossowski, Sascha; Fern\u00e1ndez, Alberto<\/p>

An Ontology for Value Awareness Engineering<\/a> Conference<\/span> <\/p>

Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: AWAI, <\/span>INSTICC <\/span>SciTePress, <\/span>2024<\/span>, ISSN: 2184-433X<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

35.<\/td>

L\u00f3pez-S\u00e1nchez, Aitor; Lujak, Marin; Semet, Frederic; Billhardt, Holger; Bazzan, Ana L. C.; Dusparic, Ivana; Lujak, Marin; Vizzari, Giuseppe<\/p>

How to achieve fair and efficient cooperative vehicle routing?<\/a> Journal Article<\/span> <\/p>

In: <\/span>AI Communications, <\/span>vol. 37, <\/span>no. 2, <\/span>pp. 223-245, <\/span>2024<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@article{doi:10.3233\/AIC-220315,
\r\ntitle = {How to achieve fair and efficient cooperative vehicle routing?},
\r\nauthor = {Aitor L\u00f3pez-S\u00e1nchez and Marin Lujak and Frederic Semet and Holger Billhardt and Ana L. C. Bazzan and Ivana Dusparic and Marin Lujak and Giuseppe Vizzari},
\r\nurl = {https:\/\/doi.org\/10.3233\/AIC-220315},
\r\ndoi = {10.3233\/AIC-220315},
\r\nyear  = {2024},
\r\ndate = {2024-01-01},
\r\nurldate = {2024-01-01},
\r\njournal = {AI Communications},
\r\nvolume = {37},
\r\nnumber = {2},
\r\npages = {223-245},
\r\nabstract = {A cooperative is a business entity with the primary objective of providing benefits, services, and goods to its members, who both own and exercise democratic control over it. In the context of a cooperative, a fleet typically consists of vehicles owned by self-concerned individually rational owners who prioritize their own efficiency and the fairness of the system. This fairness refers to how their individual gain aligns with the gain of others. In this paper, we focus on the routing of such cooperative fleets. Considering only the fleet\u2019s efficiency in terms of minimising its overall cost, the studied problem corresponds to the multiple Traveling Salesman Problem (mTSP). However, our interest lies in finding both efficient and fair solutions, so we propose two new variants of this problem that integrate and maximise the fleet\u2019s egalitarian and elitist social welfare. Additionally, to enhance the balance between fleet efficiency and fairness, we propose the systematic elitist and systematic egalitarian social welfare optimisation algorithm. Through simulation results, we observe a wide diversity of routes depending on the approach considered. Therefore, a cooperative may choose a model that best balances its fleet\u2019s efficiency and fairness based on its specific requirements.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
36.<\/td>

Lujak, Marin; Guti\u00e9rrez-Cejudo, Jorge; Salvatore, Alessio; Giordani, Stefano; Fernandez, Alberto<\/p>

Static and Time-Extended 1-on-1 Multi-Agent Task Allocation \r\nwith Implements and Limited Autonomy<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>2024 IEEE International Conference on Systems, Man, and \r\nCybernetics (SMC), <\/span>pp. 2085-2090, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span>Analytical models;Costs;Computational modeling;Scalability;Robot kinematics;Agricultural machinery;Batteries;Resource management;Cybernetics;Task assignment;three-index assignment problem;multi agent task allocation;task allocation with implements<\/a><\/p>

37.<\/td>

Costa, Ant\u00f3nio Ribeiro Da; Par\u00eds, Daniel Moreno; Lujak, Marin; Rossetti, Rosaldo J. F.; Kokkinogenis, Zafeiris<\/p>

Dynamic and Cooperative Multi-Agent Task Allocation: Enhancing \r\nNash Equilibrium Through Learning<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>2024 IEEE International Conference on Systems, Man, and \r\nCybernetics (SMC), <\/span>pp. 1860-1866, <\/span>2024<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span>System performance;Time series analysis;Simulated annealing;Organizations;Benchmark testing;Nash equilibrium;Dynamic scheduling;Resource management;Optimization;Software development management<\/a><\/p>

\r\n

2023<\/h3>\r\n <\/td>\r\n <\/tr>

38.<\/td>

Bernab\u00e9-S\u00e1nchez, Iv\u00e1n; Fern\u00e1ndez, Alberto; Billhardt, Holger; Ossowski, Sascha<\/p>

Problem Detection in the Edge of IoT Applications<\/a> Journal Article<\/span> <\/p>

In: <\/span>International Journal of Interactive Multimedia and Artificial Intelligence, <\/span>vol. 8, <\/span>no. 3, <\/span>pp. 85-97, <\/span>2023<\/span>, ISSN: 1989-1660<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span>Complex Event Processing<\/a>, Intelligent Agents<\/a>, Internet of things<\/a>, ontologies<\/a><\/p>

@article{Bernabe2023IJIMAI,
\r\ntitle = {Problem Detection in the Edge of IoT Applications},
\r\nauthor = {Iv\u00e1n Bernab\u00e9-S\u00e1nchez and Alberto Fern\u00e1ndez and Holger Billhardt and Sascha Ossowski},
\r\nurl = {https:\/\/www.ijimai.org\/journal\/sites\/default\/files\/2023-08\/ijimai8_3_8_0.pdf},
\r\ndoi = {10.9781\/ijimai.2023.07.007},
\r\nissn = {1989-1660},
\r\nyear  = {2023},
\r\ndate = {2023-09-01},
\r\nurldate = {2023-09-01},
\r\njournal = {International Journal of Interactive Multimedia and Artificial Intelligence},
\r\nvolume = {8},
\r\nnumber = {3},
\r\npages = {85-97},
\r\nchapter = {85},
\r\nabstract = {Due to technological advances, Internet of Things (IoT) systems are becoming increasingly complex. They are characterized by being multi-device and geographically distributed, which increases the possibility of errors of different types. In such systems, errors can occur anywhere at any time and fault tolerance becomes an essential characteristic to make them robust and reliable. This paper presents a framework to manage and detect errors and malfunctions of the devices that compose an IoT system. The proposed solution approach takes into account both, simple devices such as sensors or actuators, as well as computationally intensive devices which are distributed geographically. It uses knowledge graphs to model the devices, the system\u2019s topology, the software deployed on each device and the relationships between the different elements. The proposed framework retrieves information from log messages and processes this information automatically to detect anomalous situations or malfunctions that may affect the IoT system. This work also presents the ECO ontology to organize the IoT system information.},
\r\nkeywords = {Complex Event Processing, Intelligent Agents, Internet of things, ontologies},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
39.<\/td>

Bruns, Ralf; Dunkel, J\u00fcrgen; D\u00f6tterl, Jeremias; Ossowski, Sascha<\/p>

Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing<\/a> Journal Article<\/span> <\/p>

In: <\/span>Sensors, <\/span>vol. 23, <\/span>iss. 2, <\/span>pp. 614, <\/span>2023<\/span>, ISSN: 1424-8220<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

40.<\/td>

Khalid, Qasim; Fernandez, Alberto; Lujak, Marin; Doniec, Arnaud<\/p>

SBEO: Smart Building Evacuation Ontology<\/a> Journal Article<\/span> <\/p>

In: <\/span>Computer Science and Information Systems, <\/span>vol. 20, <\/span>iss. 1, <\/span>pp. 51\u201376, <\/span>2023<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

41.<\/td>

Karanik, Marcelo; Bernab\u00e9-S\u00e1nchez, Iv\u00e1n; Fern\u00e1ndez, Alberto<\/p>

Edge Service Allocation Based on Clustering Techniques<\/a> Proceedings Article<\/span> <\/p>

In: <\/span> Ossa, Luis Fernando Castillo; Isaza, Gustavo; Cardona, \u00d3scar; Castrill\u00f3n, Omar Danilo; Rodriguez, Juan Manuel Corchado; la Prieta Pintado, Fernando De (Ed.): Trends in Sustainable Smart Cities and Territories, <\/span>pp. 429\u2013441, <\/span>Springer Nature Switzerland, <\/span>Cham, <\/span>2023<\/span>, ISBN: 978-3-031-36957-5<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@inproceedings{Karanik2023SSCt,
\r\ntitle = {Edge Service Allocation Based on Clustering Techniques},
\r\nauthor = {Marcelo Karanik and Iv\u00e1n Bernab\u00e9-S\u00e1nchez and Alberto Fern\u00e1ndez},
\r\neditor = {Luis Fernando Castillo Ossa and Gustavo Isaza and \u00d3scar Cardona and Omar Danilo Castrill\u00f3n and Juan Manuel Corchado Rodriguez and Fernando De la Prieta Pintado},
\r\ndoi = {10.1007\/978-3-031-36957-5_37},
\r\nisbn = {978-3-031-36957-5},
\r\nyear  = {2023},
\r\ndate = {2023-01-01},
\r\nurldate = {2023-01-01},
\r\nbooktitle = {Trends in Sustainable Smart Cities and Territories},
\r\npages = {429\u2013441},
\r\npublisher = {Springer Nature Switzerland},
\r\naddress = {Cham},
\r\nabstract = {The expansion of the Internet of Things is leading to the emergence of new IoT environments where devices not only act as sensors or actuators but also provide computing, storage and network resources. These resources are close to the local network and have a great potential to deploy IoT services, this is called fog computing. One of the challenges in this context is deciding the allocation of services to suitable computing nodes where they can run. In this paper, we propose a clustering-based method to allocate services to computing nodes along edge-cloud computing environments considering both functional and computational capacities. Additionally, the proposed framework is explained and an experimental example is used to test four clustering strategies. The results show that the proposed clustering approach is an efficient method for service allocation to computing nodes and depending on the selected strategy different workload distributions are obtained. Finally, we present some considerations about the proposed model.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
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42.<\/td>

Guti\u00e9rrez-Cejudo, Jorge; Lujak, Marin; Fern\u00e1ndez, Alberto<\/p>

Agrobots Architecture and Agrobots-Sim Simulator for Dynamic Agri-Robot Coordination<\/a> Book Chapter<\/span> <\/p>

In: <\/span>Communications in Computer and Information Science, <\/span>pp. 5\u201317, <\/span>Springer Nature Switzerland, <\/span>2023<\/span>, ISSN: 1865-0937<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

43.<\/td>

Karanik, Marcelo; Billhardt, Holger; Fern\u00e1ndez, Alberto; Ossowski, Sascha<\/p>

Exploiting Value System Structure for Value-Aligned Decision-Making<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>VALE, <\/span>pp. 180-196, <\/span>2023<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

44.<\/td>

Arias, Joaqu\u00edn; Moreno-Rebato, Mar; Rodr\u00edguez-Garc\u00eda, Jos\u00e9 A.; Ossowski, Sascha<\/p>

Value awareness and process automation: a reflection through school place allocation models<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>ICLP Workshops, <\/span>2023<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

45.<\/td>

Lujak, Marin; Fern\u00e1ndez, Alberto; Billhardt, Holger; Ossowski, Sascha; Arias, Joaqu\u00edn; L\u00f3pez-S\u00e1nchez, Aitor<\/p>

On Value-Aligned Cooperative Multi-agent Task Allocation<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>VALE, <\/span>pp. 197-216, <\/span>2023<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

46.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s; Arias, Joaqu\u00edn; Moreno-Rebato, Mar; Ossowski, Sascha<\/p>

On Admissible Behaviours for Goal-Oriented Decision-Making of Value-Aware Agents<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>20th European Conference on Multi-Agent Systems, EUMAS'23, <\/span>pp. 415\u2013424, <\/span>Springer, <\/span>2023<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

47.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s; Arias, Joaqu\u00edn; Billhardt, Holger; Ossowski, Sascha<\/p>

Algorithms for Learning Value-Aligned Policies Considering Admissibility Relaxation<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>1st Int'l. Workshop on Value Engineering in AI, VALE@ECAI'23, <\/span>pp. 145\u2013164, <\/span>Springer, <\/span>2023<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

48.<\/td>

Holgado-S\u00e1nchez, Andr\u00e9s<\/p>

Value-Awareness Engineering: Towards Learning Context-Based Value Taxonomies Proceedings Article<\/span> <\/p>

In: <\/span> Malvone, Vadim; Murano, Aniello (Ed.): Multi-Agent Systems, <\/span>pp. 479\u2013485, <\/span>Springer Nature Switzerland, <\/span>Cham, <\/span>2023<\/span>, ISBN: 978-3-031-43264-4<\/span>.<\/p>

Abstract<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@inproceedings{10.1007\/978-3-031-43264-4_35,
\r\ntitle = {Value-Awareness Engineering: Towards Learning Context-Based Value Taxonomies},
\r\nauthor = {Andr\u00e9s Holgado-S\u00e1nchez},
\r\neditor = {Vadim Malvone and Aniello Murano},
\r\nisbn = {978-3-031-43264-4},
\r\nyear  = {2023},
\r\ndate = {2023-01-01},
\r\nbooktitle = {Multi-Agent Systems},
\r\npages = {479\u2013485},
\r\npublisher = {Springer Nature Switzerland},
\r\naddress = {Cham},
\r\nabstract = {The emerging field of value awareness engineering claims that software agents and systems should be value-aware, i.e. they should be able to explicitly reason about the value-alignment of their actions. Existing approaches characterize values in various ways, from which we defend the recently introduced context-based value taxonomies, which allow a very rich context-dependent value representation while providing alignment explainability. We propose further work in the area, that would strive mainly on the feasibility for a system to learn value taxonomies from streams of value-aware preferences (using CEP rule learning), so the result is human-readable and representative of a complex value system.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
49.<\/td>

L\u00f3pez-S\u00e1nchez, Aitor; Lujak, Marin; Semet, Frederic; Billhardt, Holger<\/p>

Vehicle Routing Problem with Fair Profits and Time Windows (VRP-FPTW)<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), <\/span>pp. 1530-1536, <\/span>2023<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span>Scalability;Collaboration;Organizations;Routing;Robustness;Regulation;Computational efficiency;multi-agent system;distributed computing;column generation;vehicle routing problem;fairness;profit sharing<\/a><\/p>

\r\n

2022<\/h3>\r\n <\/td>\r\n <\/tr>

50.<\/td>

L\u00f3pez-S\u00e1nchez, Aitor; Lujak, Marin; Semet, Frederic; Billhardt, Holger<\/p>

On balancing fairness and efficiency in routing of cooperative vehicle fleets<\/a> Proceedings Article<\/span> <\/p>

In: <\/span>ATT 2022 Agents in Traffic and Transportation, <\/span>Vienne, Austria, <\/span>2022<\/span>.<\/p>

Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span>Vehicle Routing Problem ; multiple traveling salesman problem ; intelligent vehicles ; collaborative routing ; fair and efficient routing<\/a><\/p>

@inproceedings{lopezsanchez:hal-03778786,
\r\ntitle = {On balancing fairness and efficiency in routing of cooperative vehicle fleets},
\r\nauthor = {Aitor L\u00f3pez-S\u00e1nchez and Marin Lujak and Frederic Semet and Holger Billhardt},
\r\nurl = {https:\/\/hal.science\/hal-03778786},
\r\nyear  = {2022},
\r\ndate = {2022-07-01},
\r\nurldate = {2022-07-01},
\r\nbooktitle = {ATT 2022 Agents in Traffic and Transportation},
\r\nvolume = {3173},
\r\naddress = {Vienne, Austria},
\r\nseries = {ATT 2022 Agents in Traffic and Transportation},
\r\nkeywords = {Vehicle Routing Problem ; multiple traveling salesman problem ; intelligent vehicles ; collaborative routing ; fair and efficient routing},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>