Onaindia De La Rivaherrera, Eva; Aineto, Diego; Jiménez-Celorrio, Sergio(Springer-Verlag, 2018)
[EN] Causality is a fundamental part of reasoning to model the physics of an application domain, to understand the behaviour of an agent or to identify the relationship between two entities. Causality occurs when an action ...
Lujak, Marin; Fernandez, Alberto; Onaindia De La Rivaherrera, Eva(International Foundation for Autonomous Agents and Multiagent Systems, 2020-05-13)
[EN] In the capacitated production planning problem, quantities of products need to be determined at consecutive periods within a given
time horizon when product demands, costs, and production capacities vary through time. ...
Torreño Lerma, Alejandro; Onaindia de la Rivaherrera, Eva; Sapena Vercher, Oscar(Springer Verlag (Germany), 2014-01)
Multi-agent planning (MAP) approaches are typically oriented at solving loosely
coupled problems, being ineffective to deal with more complex, strongly related problems.
In most cases, agents work under complete information, ...
Díaz-Alejo León, Stéphane(Universitat Politècnica de València, 2021-09-07)
[EN] Load forecasting models have drawn attention over the last decade, due to the fact that are of great help to the modernization of the power grid, and consequently, to the environment. In particular, models that use ...
Bustamante Martínez, Alexander Armando(Universitat Politècnica de València, 2021-01-25)
[ES] Desde hace varias décadas vivimos en lo que los académicos e industriales han convenido llamar la era de la información y economía del conocimiento, ambas caracterizadas, entre otras cosas, por el rol preponderante ...
Zhuk, Igor(Universitat Politècnica de València, 2021-09-07)
[ES] Este trabajo se centra en la aplicación de técnicas de aprendizaje automático en el ámbito financiero. Particularmente, el objetivo del trabajo es la creación de un modelo de clasificación de riesgo crediticio. Para ...
Garrido, Antonio; Onaindia de la Rivaherrera, Eva(Institute of Electrical and Electronics Engineers (IEEE), 2013-04)
[EN] The aim of educational systems is to assemble learning objects on a set of topics tailored to the goals and individual students' styles. Given the amount of available Learning Objects, the challenge of e-learning is ...
Bustamante, Alexander; Sebastiá Tarín, Laura; Onaindia De La Rivaherrera, Eva(MDPI AG, 2020-11-12)
[EN] Integrating collaborative data in data-driven Business Intelligence (BI) system brings an opportunity to foster the decision-making process towards improving tourism competitiveness. This article presents BITOUR, a ...
Martín Navarro, José Luis(Universitat Politècnica de València, 2019-09-20)
[ES] El Shortest Path Problem (SPP) es uno de los problemas de búsqueda más estudiados en la literatura, razón por la que han cobrado interés otros problemas
relacionados como el Another Solution Problem (ASP). El ASP se ...
Bustamante, Alexander; Sebastiá Tarín, Laura; Onaindia De La Rivaherrera, Eva(MDPI AG, 2019-06-01)
[EN] Promoting a tourist destination requires uncovering travel patterns and destination choices,
identifying the profile of visitors and analyzing attitudes and preferences of visitors for the city. To this end,
tourism-related ...
Oropesa Física, Ana(Universitat Politècnica de València, 2013-10-02)
En este Proyecto Final de Carrera se verá la motivación por la que hacer una
heurística multiagente utilizando landmarks, la construcción de ésta y unos
posteriores resultados y comparativas con la heurística monoagente ...
Güemes Palau, Carlos(Universitat Politècnica de València, 2020-09-22)
[EN] Research on human activity recognition in smart homes has drawn lately much attention as a means to improve the quality of life, comfort, safety and health care of elderly and dependent people. The advancement of the ...
Pajares Ferrando, Sergio; Onaindia de la Rivaherrera, Eva(Elsevier, 2013-04-01)
A system is context-aware if it can extract, interpret and use context information and adapt its functionality to the current context of use. Multi-agent planning generalizes the problem of planning in domains where several ...
Onaindia de la Rivaherrera, Eva; Sapena Vercher, Oscar; Torreño Lerma, Alejandro(CESER, 2010)
[EN] This paper addresses the problem of solving a cooperative distributed planning (CDP) task through an argumentation-based model. A CDP task involves building a central plan amongst a set of agents who will contribute ...
Torreño Lerma, Alejandro; Onaindia de la Rivaherrera, Eva; Komenda, Antonín; tolba, Michal(Association for Computing Machinery, 2017)
[EN] Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies,
algorithms, and techniques developed by the Artificial Intelligence Planning and Multi-Agent Systems communities.
While ...
Torreño Lerma, Alejandro(Universitat Politècnica de València, 2016-06-14)
[EN] Automated planning is a centralized process in which a single planning entity, or agent, synthesizes a course of action, or plan, that satisfies a desired set of goals from an initial situation. A Multi-Agent System ...
Pajares Ferrando, Sergio(Universitat Politècnica de València, 2016-01-25)
[EN] Multi-Agent Systems (MAS), Argumentation and Automated Planning are three lines of investigations within the field of Artificial Intelligence (AI) that have been extensively studied over the last years. A MAS is a ...
Pajares Ferrando, Sergio; Onaindia de la Rivaherrera, Eva(Elsevier, 2017)
[EN] This paper presents a planning system that uses defeasible argumentation to reason about
context information during the construction of a plan. The system is designed to operate
in cooperative multi-agent environments ...