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Brito I, Meseguer P.  2006.  Asynchronous backtracking for non-binary disCSP. Workshop on Distributed Constraint Satisfaction, Riva di Garda, Italia, 28 agosto 2006. ECAI-2006. :W24.
Bourazeri A, Almajano P, Rodriguez I, López-Sánchez M.  2014.  Assistive Awareness in Smart Grids. The Computer After Me.
Almajano P, López-Sánchez M, Rodriguez I, Trescak T.  2014.  Assistant Agents to Advice Users in Hybrid Structured 3D Virtual Environments. Computer Animation and Virtual Worlds (CAVW). 25:10.
Campos J, López-Sánchez M, Esteva M.  2009.  Assistance Layer in a P2P scenario. Engineering Societies in the Agents World X. 5881:229-232.
Godo L, Puyol-Gruart J, Sandri S, Barrufet P..  2004.  Assessing adequacy and risk of drugs in treatments for imprecise clinical diagnoses. Recent advances in artificial intelligence research and development. :3-10.
Chen YYie, Aran XFerrer, Wiratunga N, Plaza E.  2015.  Aspect selection for social recommender systems. 9343:60-72.
Eppe M, Maclean E, Confalonieri R, Schorlemmer M, Kutz O, Plaza E.  2015.  ASP, Amalgamation, and the Conceptual Blending Workflow.
Acebo E, Arcos JLluis, Marzo JLluis.  2007.  Artificial Social Intelligence in MAS: from swarms to electronic institutions. Issues in Multi-Agent Systems: The AgentCities.ES Experience. :145-177.
de Mántaras RLópez.  2002.  Artificial Intelligence: Fuzzy Reasoning. Van Nostrand's Scientific Encyclopedia. :252-254.
Falomir Z, Gibert K, Plaza E.  2018.  Artificial Intelligence Research and Development. Current Challenges, New Trends and Applications, CCIA-2018. 21st International Conference of the Catalan Association for Artificial Intelligence, Reus, cataalonia, 8-10th October 2018. 308
Fernandez C, Geffner H, Manyà F.  2011.  Artificial Intelligence Research and Development.
Alsinet T, Puyol-Gruart J, Torras C.  2008.  Artificial Intelligence Research and Development. 184
Angulo C, Godo L.  2007.  Artificial Intelligence Research and Development.
Andrejczuk E.  2018.  Artificial intelligence methods to support people management in organisations. PhD:187.
Montagna F, Noguera C.  2010.  Arithmetical complexity of first-order predicate fuzzy logics over distinguished semantics. Journal of Logic and Computation. 20:399-424.
Hájek P, Montagna F, Noguera C.  2011.  Arithmetical complexity of first-order fuzzy logics. Handbook of Mathematical Fuzzy Logic - volume 2. :853-908.
Ontañón S, Plaza E.  2007.  Arguments and Counterexamples in Case-based Joint Deliberation. Lecture Notes in Artificial Intelligence. 4766:36-53.
Chesñevar C., Simari G., Godo L, Alsinet T.  2005.  Argumented-based expansion operators in possibilistic defensible logic programming: characterization and logical properties. Lecture Notes in Artificial Intelligence. 3571:353-365.
Kaliakatsos-Papakostas MA, Confalonieri R, Corneli J, Zacharakis AI, Cambouropoulos E.  2016.  An Argument-based Creative Assistant for Harmonic Blending. Proceedings of the Seventh International Conference on Computational Creativity, Paris, France, June 28 - July 1, 2016..
Espinoza MMorveli, Possebom A, Puyol-Gruart J, Tacla CA.  2019.  Argumentation-based Intention Formation Process. DYNA. 86(208):82-91.
Espinoza MMorveli, Nieves J.C., Possebom A., Puyol-Gruart J, Tacla C.A..  2019.  An Argumentation-based Approach for Identifying and Dealing with Incompatibilities among Procedural Goals. International Journal of Approximate Reasoning. 105:1-26.
Pardo P, Dellunde P, Godo L.  2011.  Argumentation-based Negotiation in t-DeLP-POP. 14th International Conference of the Catalan Association for Artificial Intelligence (CCIA 2011). 232:177-186.
Ontañón S, Plaza E.  2010.  Argumentation-based Multiagent Induction. ECAI 2010: 19th European Conference on Artificial Intelligence. :1111-1112.
Ontañón S, Plaza E.  2009.  Argumentation-Based Information Exchange in Prediction Markets. Lecture Notes in Artificial Intelligence. 5384:181-196.
Ontañón S, Plaza E.  2008.  Argumentation-based Information Exchange in Prediction Markets. :111-123.
Ontañón S, Plaza E.  2010.  Argumentation-based Example Interchange for Multiagent Induction. Artificial Intelligence Research and Development, CCIA'10. :59-68.
Debenham J, Sierra C.  2011.  Argumentation with Advice. EC-Web. 85:136-147.
Koster A, Sabater-Mir J., Schorlemmer M.  2013.  Argumentation and Trust. Agreement Technologies (Law, Governance and Technology Series). 8:441-452.
Ontañón S, Plaza E, Zhu J.  2015.  Argument-Based Case Revision in CBR for Story Generation. Case-Based Reasoning Research and Development, Proc. ICCBR-2015. 9343:290-305.
Ferrer X, Plaza E.  2017.  On argument bundles in the Web of Experiences. AI Communications. 30:235–249.
Pinyol I., Sabater-Mir J..  2013.  Arguing about Social Evaluations: From Theory to Experimentation. International Journal of Approximate Reasoning. 54:667–689.
Pinyol I, Sabater-Mir J..  2007.  Arguing about Reputation. The LRep Language. Lecture Notes in Computer Science (Selected publication from The Eighth Annual International Workshop "Engineering Societies in the Agents World" (ESAW 07), Athens, Greece). :192–207.
Abril D, Navarro-Arribas G, Torra V.  2014.  Aprendizaje supervisado para el enlace de registros a través de la media ponderada. XIII Reunin Española sobre Criptologa y Seguridad de la Información. :281-284.
Plaza E, López B.  1989.  Aprendizaje de conocimientos de control para Sistemas Expertos.
Plaza E.  1992.  Aprendizaje basado en casos y razonamiento aproximado en A.R.C. Nuevas tendencias en Inteligencia Artificial. :225-236.
Plaza E.  1995.  Aprender con Inteligencia Artificial. Arbor. 595:119-154.
Pérez A, Blum C, Lozano JAntonio.  2018.  Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models. The 9th International Conference on Probabilistic Graphical Models. 72:320-331.
Domingo-Ferrer J, Torra V.  2002.  Approximating fuzzy measures by hierarchically decomposable ones. Fusion 2002. :191-198.
Morales J, Mendizabal I, Sanchez-Pinsach D, López-Sánchez M, Rodríguez-Aguilar JA.  2013.  Applying IRON to a Virtual Community Scenario. Artificial Intelligence Research and Development: Proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence.. 256:316-325.
Torra V.  2010.  Applying I-Fuzzy Partitions to Represent Sets of Fuzzy Partitions. CCIA 2010. :201-206.
Torra V.  2001.  Applying aggregation operators to data mining : modelling using quasi-weighted means. EUSFLAT 2001. :308-311.
Dellunde P.  2014.  Applications of ultraproducts: from compactness to fuzzy elementary classes. Logic Journal of the IGPL. 22
Valckenaers P, John S, Sierra C, Rodríguez-Aguilar JA.  2007.  Applications and Environments for Multi-agent Systems. Autonomous Agents and Multi-agent Systems. 14:61–85.
Davidson PPinacho, Bouamama S, Blum C.  2019.  Application of CMSA to the Minimum Capacitated Dominating Set Problem. Genetic and Evolutionary Computation Conference (GECCO 2019). :321-328.
Padget J, Aldewereld H, Noriega P, Vasconcelos W.  2016.  Application Domains. Social Coordination Frameworks for Social Technical Systems. :231–263.
Noriega P, Rodríguez-Aguilar JA, Sierra C.  2005.  Aplicaciones de tecnologia de agentes en comercio electrónico. Agentes Software y Sistemas Multiagente: conceptos, arquitectura y aplicaciones. :231-241.
Noriega P, Rodríguez-Aguilar JA, Sierra C.  2004.  Aplicaciones de Tecnologia de Agentes en Comercio Electronico. Agentes de Software y sistemas multiagentes: conceptos, arquitecturas y aplicaciones. :231-241.
Espinoza MMorveli, Puyol-Gruart J.  2009.  Anytime reasoning mechanism for conversational agents. Artificial Intelligence Research and Development. 202:215-223.
Bistaffa F, Farinelli A, Cerquides J, Rodríguez-Aguilar JA, Ramchurn SD.  2014.  Anytime coalition structure generation on synergy graphs. AAMAS '14: Proceedings of the 13th international conference on autonomous agents and multi Agent Systems. :13-20.
Bistaffa F, Farinelli A, Cerquides J, Rodríguez-Aguilar JA, Ramchurn SD.  2014.  Anytime Coalition Structure Generation on Scale-Free and Community Networks. International Joint Workshop on Optimisation in Multi-Agent Systems and Distributed Constraint Reasoning (OptMAS-DCR).