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de Jonge D, Rosell B, Sierra C.  2013.  Human Interactions in Electronic Institutions. 2nd International Conference on Agreement Technologies. 8068:75-89.
de Jonge D, Rodríguez-Aguilar JA, Rosell B, Sierra C.  2015.  Infrastructures to Engineer Open Agent Environments by Means of Electronic Institutions. Agent Environments for Multi-Agent Systems IV. :232-254.
de Jonge D.  2013.  Negotiation Algorithms for Large Agreement Spaces (extended abstract of PhD thesis). Doctoral Consortium, 23rd International Joint Conference on Artificial Intelligence.
de la Cruz D, Estévez J, Noriega P, Pérez M, Piqué R, Sabater-Mir J., Vila A, Villatoro D.  2010.  Norms in H-F-G societies. Grounds for agent-based social simulation.. CAA'2010 Fusion of Cultures. Proceedings of the 38th Conference on Computer Applications and Quantitative Methods in Archaeology. :237-240.
de la Cruz D, Estévez J, Noriega P, Pérez M, Piqué R, Sabater-Mir J., Vila A, Villatoro D.  2010.  Normas en sociedades cazadoras-pescadoras-recolectoras. Argumentos para el uso de la simulación social basada en agentes. Cuadernos de prehistoria y arqueología de la Universidad de Granada. 20:149-161.
de la Rosa JLluís, Oller A, Vehí J, Puyol-Gruart J.  1997.  Soccer Team based on Agent-Oriented Programming. Robotics and Autonomous Systems. 21:167-176.
de Mántaras RLópez, Sierra C, Agustí-Cullell J.  1992.  COLAPSES: A modular architecture and languaje for modelling metacontrol and uncertainty. New Directions for Intelligent Tutoring Systems. :28-37.
de Mántaras RLópez, Cortés U, Manero J., Plaza E.  1990.  Knowledge Engineering for a Document Retrieval System. Fuzzy Sets and Systems. 38:223-240.
de Mántaras RLópez, Arcos JLluis.  2001.  The synthesis of expressive music : a challenging CBR application. Lecture Notes in Artificial Intelligence. 2080:16-25.
de Mántaras RLópez.  1991.  A Distance-based Attribute Selection Measure for Decision Tree Induction. Machine Learning Journal. 6:81-92.
de Mántaras RLópez, Arcos JLluis.  2002.  AI and Music: From Composition to Expressive Performance. AI Magazine. 23:43-57.
de Mántaras RLópez, Cunnigham P, Perner P.  2006.  Emergent case-based reasoning applications. The knowledge engineering review. 20:325-328.
de Mántaras RLópez, Sierra C, Agustí-Cullell J.  1992.  The Representation and use of Meta-Knowledge and Uncertainty in MILORD. An introduction to Fuzzy Logic Applications. :253-262.
de Mántaras RLópez.  2006.  Making Music with AI: Some examples. Rob Milne: A tribute to a Pioneering AI Scientist, Entrepreneur and Mountaineer. :90-100.
de Mántaras RLópez, Plaza E, Agustí-Cullell J.  1986.  Knowledge Elicitation and Analysis for Approximate Resasoning Systems. II International Conference on Artificial Intelligence. :91-108.
de Mántaras RLópez, Sierra C.  1990.  The Role of Uncertainty as a control feature. Third International conference on Information Processing and Management of Uncertainty in knowle-based Systems. :269-271.
de Mántaras RLópez, Amat J, Esteva F, López-Sánchez M, Sierra C.  1997.  Generation of unknown environment maps by cooperative low-cost robots. 1srt. International Conference on Autonomous Agents. :164-169.
de Mántaras RLópez, Agustí-Cullell J, Plaza E, Sierra C.  1991.  MILORD: A Fuzzy Expert Systems Shell. Fuzzy Expert Systems. :213-224.
de Mántaras RLópez.  2005.  Combining CBR and fuzzy techniques to generate expressive music by imitation of human players. BISCSE 2005: Forging new frontiers 40th of fuzzy pioneers (1965-2005) BISC Special event in honor of Prof. Lotfi A. Zadeh. :162-163(extendedabstract).
de Mántaras RLópez, Meseguer P, Sanz F, Sierra C, Verdaguer A.  1988.  MILORD a diagnosis oriented shell that manages linguistically expressed uncertainty. Symposium Series Artificial Intelligence in Medicine. :55-56.
de Mántaras RLópez.  2006.  Play it again: A case-based approach to expressivity-preserving tempo transformations in music. Lecture Notes in Artificial Intelligence. 4203:18(abstract).
de Mántaras RLópez, McSherry D, Bridge D, Leake D, Smyth B, Craw S, Faltings B, Maher M-L, Cox M, Forbus K et al..  2006.  Retrieval, Reuse, Revision, and Retention in CBR. The Knowledge Engineering Review. 20:215-240.
de Mántaras RLópez.  2002.  La inteligencia artificial hoy. Mundo Científico. :64-71.
de Mántaras RLópez, Plaza E, Agustí-Cullell J.  1986.  Knowledge Elicitation and Analysis for Approximate Resasoning Systems. Advances in Artificial Intelligence. :35-52.
de Mántaras RLópez.  2001.  Case-Based Reasoning. Lecture Notes in Artificial Intelligence. 2049:127-145.
de Mántaras RLópez.  2006.  Towards artificial creativity : Examples of some applications of AI to music performance. 50 Años de la Inteligencia Artificial. :43-49.
de Mántaras RLópez, Plaza E.  1997.  Case-Based Reasonig : An Overview. AI Communications. 10:21-29.
de Mántaras RLópez.  2001.  Contributions to artificial intelligence: the IIIA perspective. Contributions to Science. 2:9-22.
de Mántaras RLópez.  2002.  Tendencias en Aprendizaje Automático. Novática. :25-30.
de Mántaras RLópez, Sierra C, Sanz F, Verdaguer A.  1987.  MILORD-PNEUMONIA Un outil et une application en medicine. Colloque Intelligence Artificielle et Santé. :45-54.
de Mántaras RLópez, Saitta L.  2004.  ECAI 2004. 16th European Conference on Artificial Intelligence, August , 2004 Valencia, Spain. 110
de Mántaras RLópez.  2012.  The AI Journey: The road traveled and the (long) road ahead. 7th IFIP International Conference on Intelligent Information Processing.
de Mántaras RLópez, Sierra C.  1998.  Control Metods. Handbook of Fuzzy Computation. :31-37.
de Mántaras RLópez, Agustí-Cullell J, Cortés U, Plaza E.  1986.  Fuzzy Knowledge Engineering Techniques in Scientific Document Classification. ACM SIGART Int. Symp. on Methodologies for Intelligent Systems. :94-102.
de Mántaras RLópez, Meseguer P, Sanz F, Sierra C, Verdaguer A.  1988.  A Fuzzy logic aproach to the Management of Linguistically expressed uncertainty. 18th IEE International Symposium on Multiple-Valued Logic. :144-151.
de Mántaras RLópez, Armengol E.  1998.  Machine Learning from Examples: Inductive and Lazy Methods. Data and Knowledge Engineering Journal. 25:99-123.
de Mántaras RLópez.  2002.  Artificial Intelligence: Fuzzy Reasoning. Van Nostrand's Scientific Encyclopedia. :252-254.
de Mántaras RLópez, Agustí-Cullell J, Sierra C.  1987.  The Management of Uncertainty in the MILORD System. Second International Fuzzy systems Association Congress. II:665-668.
de Mántaras RLópez, Grachten M, Arcos JLluis.  2007.  Playing with cases: Tempo Transformations of Jazz Performances using Case-Based Reasoning. 20th FLAIRS Conference, Key West, Florida. :8-11.
de Mántaras RLópez, Arcos JLluis.  2012.  Playing with Cases: Rendering Expressive Music with Case-Based Reasoning. AI Magazine. 33:22-31.
de Mántaras RLópez.  2013.  Computational Creativity. ARBOR Ciencia, Pensamiento y Cultura. Vol. 189
de Mántaras RLópez, Grachten M, Arcos JLluis.  2007.  Expressivity-preserving Tempo Transformation for Music - A case.based approach. Lecture Notes in Artificial Intelligence. 4314:1-6.
de Mántaras RLópez.  2014.  A Survey of Artificial Intelligence Research at the IIIA. AI Magazine. 35:86-97.
de Mántaras RLópez, Godo L, Plaza E, Sierra C.  2015.  A Survey of Contributions to Fuzzy Logic and Ils applications to Artificial Intelligence at the IIIA. Enric Trillas: A Passion for Fuzzy Sets - A Collection of Recent Works on Fuzzy Logic. :67-78.
Debenham J, Sierra C.  2010.  An Agent Model of Business Relationships. Lecture Notes in Computer Science, DEXA (2). Volume 626:126-140.
Debenham J, Sierra C.  2008.  An Agent Architecture for an Uncertain World. IAT. :273-276.
Debenham J., Sierra C.  2007.  Merging Intelligent Agency and the SemanticWeb. AI-2007 Twenty-seventh International Conference on Artificial Intelligence, UK, December. :197-210.
Debenham J, Sierra C.  2010.  An Agent Model of Business Relationships. 6262:126-140.
Debenham J, Sierra C.  2014.  RANA: a Relationship-aware Negotiation Agent. Negotiation and Argumentation in Multi-agent Systems. :233-253.
Debenham J, Sierra C.  2009.  Dual Rationality and Deliberative Agents. Research and Development in Intelligent Systems XXVI. Part 3:79-92.