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Bou F.  2005.  Complexity of Strict Implication. Advances in modal logic Vol. 5. :1–16.
Abasolo C, Plaza E, Arcos JLluis.  2002.  Components for Case-Based Reasoning Systems. Lecture Notes in Artificial Intelligence. :1-16.
Martin F, Plaza E, Rodríguez-Aguilar JA.  1999.  Composing Multi-Agent Systems with Interagents. Proceedings of the Simposio Español de Informática Distribuida (SEID'99). :39-47.
Martin F, Plaza E, Rodríguez-Aguilar JA.  1999.  Composing Multi-Agent Systems with Interagents. Computación y Sistemas, Informática Distribuida. II:183-190.
Giovannucci A, Cerquides J, Rodríguez-Aguilar JA.  2010.  Composing Supply Chains through Multi-unit Combinatorial Reverse Auctions with Transformability Relationships among Goods.. IEEE Transactions on Systems, Man, and Cybernetics. 40:767-778.
Andrejczuk E, Berger R, Sierra C, Rodríguez-Aguilar JA, Marín-Puchades V.  2018.  The Composition and Formation of Effective Teams. Computer Science meets Psychology. The Knowledge Engineering Review. 33
Blum C, Blesa MJ.  2018.  A Comprehensive Comparison of Metaheuristics for the Repetition-Free Longest Common Subsequence Problem. Journal of Heuristics. 24(3):551-579.
Alsinet T, Chesñevar C., Godo L.  2008.  Computation of Skeptical Outputs in P-DeLP Satisfying Indirect Consistency: a Level-based Approach. IPMU 2008. :497-504.
Koduri GK, Serrà J, Serra X.  2012.  Computational analysis of intonation in Indian art music. CompMusic Workshop.
Bistaffa F, Blum C, Cerquides J, Farinelli A, Rodríguez-Aguilar JA.  In Press.  A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.
Confalonieri R, Plaza E, Schorlemmer M.  2018.  Computational aspects of concept invention. Concept Invention. Foundations, Implementation, Social Aspects and Applications.
de Mántaras RLópez.  2013.  Computational Creativity. ARBOR Ciencia, Pensamiento y Cultura. Vol. 189
Besold TR, Schorlemmer M, Smaill A.  2015.  Computational Creativity Research: Towards Creative Machines. Atlantis Thinking Machines. 7
Colton S, de Mántaras RLópez, Stock O.  2009.  Computational Creativity: Coming of Age. AI Magazine. 30:11-14.
Eppe M, Maclean E, Confalonieri R, Kutz O, Schorlemmer M, Plaza E, Kühnberger K-U.  2018.  A computational framework for conceptual blending. Artificial Intelligence. 256:105–129.
Eppe M, Confalonieri R, Maclean E, Kaliakatsos M, Cambouropoulos E, Schorlemmer M, Kühnberger K-U.  2015.  Computational invention of cadences and chord progressions by conceptual chord-blending. International Joint Conference on Artificial Intelligence 2015. :Inpress.
Pinyol I, Sabater-Mir J..  2013.  Computational trust and reputation models for open multi-agent systems: a review. Artificial Intelligence Review. 40:1-25.
Torra V, Endo Y, Miyamoto S.  2011.  Computationally Intensive Parameter Selection for Clustering Algorithms: the case of fuzzy c-means with tolerance. International Journal of Intelligent Systems. 26:313-322.
Giovannucci A, Vinyals M, Rodríguez-Aguilar JA, Cerquides J.  2008.  Computationally-efficient Mixed Auctions. EUMAS 2008.
Giovannucci A, Vinyals M, Rodríguez-Aguilar JA, Cerquides J.  2008.  Computationally-efficient Winner Determination for Mixed Multi-Unit Combinatorial Auctions. 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 08). :1071-1078.
Puyol-Gruart J.  1999.  Computer Science and Artificial Intelligence in Archaeology. New Techniques for Old Times. Computer Applications in Archaeology 1998. 757:19-27.
Chesñevar C., Simari G., Godo L.  2005.  Computing Dialectical Trees Efficiently in Possibilistic Defeasible Logic Programming. Lecture notes in artificial intelligence. 3662:158-171.
Nin J, Carminati B, Ferrari E, Torra V.  2009.  Computing Reputation for Collaborative Private Networks. 33rd IEEE International Computer Software and Applications Conference (COMPSAC). :246-253.
Ontañón S, Plaza E.  2010.  Concept Convergence in Empirical Domains. DS10: 13th International Conference on Discovery Science. :281-295.
Aran XFerrer, Plaza E.  2016.  Concept Discovery and Argument Bundles in the Experience Web. Case-Based Reasoning Research and Development - 24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings.
Ferrer X, Plaza E.  2016.  Concept Discovery and Argument Bundles in the Experience Web. International Conference on Case-Based Reasoning. :108–123.
Cerquides J, Picard G, Rodríguez-Aguilar JA.  2015.  Conception d'une place de marché pour la vente et la distribution d'énergie dans les smart grids. 23es Journées Francophones sur les Systèmes Multi-Agents (JFSMA'15).
Confalonieri R, Schorlemmer M, Kutz O, Peñaloza R, Plaza E, Eppe M.  2016.  Conceptual Blending in EL++. Proceedings of the 29th International Workshop on Description Logics, Cape Town, South Africa, April 22-25, 2016..
Andrejczuk E, Rodríguez-Aguilar JA, Sierra C.  2017.  A concise review on multi-agent teams: contributions and research opportunities. Multi-Agent Systems and Agreement Technologies. EUMAS 2016, AT 2016. 10207:31-39.
Kollingbaum MJ, Vasconcelos WW, García-Camino A, Norman T.  2007.  Conflict Resolution in Norm-Regulated Environments via Unification and Constraints. Lecture Notes in Artificial Intelligence. 4897:158-174.
Torra V.  2004.  Conjuntos difusos en la universidad Oberta de Catalunya. Actas del xii congreso español sobre tecnologias y logicas fuzzy. Sesión especial: "La enseñanza de la lógica difusa: motivaciones y acciones" Jaén 16 de septiembre. ESTYLF 2004. :57-61.
Brito I, Meseguer P.  2008.  Connecting ABT with arc-consistency. Principles and Practice of Constraint Programming. :387-401.
Gutierrez P, Meseguer P.  2011.  Connecting BnB-ADOPT with Soft Arc Consistency: Initial Results. Lecture Notes in Computer Science. 6384:19-37.
Plaza E, Alsina C, de Mántaras RLópez, Agustí-Cullell J, Aguilar J.  1987.  Consensus and Knowledge Acquisition. Lecture Notes in Computer Science. 286:294-306.
Plaza E, Alsina C, de Mántaras RLópez, Agustí-Cullell J, Aguilar J.  1986.  Consensus and Knowledge Acquisition. IPMU 86: International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. :214-217.
García-Camino A, Rodríguez-Aguilar JA, Sierra C, Vasconcelos WW.  2009.  Constraint rule-based programming of norms for Electronic institutions. Autonomous Agents and Multi-agent Systems. 18:186-–217.
García-Camino A, Rodríguez-Aguilar JA, Sierra C, Vasconcelos WW.  2006.  Constraint rule-based programming of norms for electronic institutions.
Meseguer P.  1989.  Constraint Satisfaction problems: An Overview. AI Communications. :3-17.
Lizárraga E, Blesa MJ, Blum C.  2017.  Construct, Merge, Solve and Adapt Versus Large Neighborhood Search for Solving the Multi-dimensional Knapsack Problem: Which One Works Better When? EvoCOP 2017 -- 17th European Conference on Evolutionary Computation in Combinatorial Optimization. 10197 (Lecture Notes in Computer Science):60--74.
Vinyals M, Rodríguez-Aguilar JA, Cerquides J.  2011.  Constructing a unifying theory of dynamic programming DCOP algorithms via the Generalized Distributive Law. Journal of Autonomous Agents and Multi Agent Systems (JAAMAS). 22:439-464.
Arcos JLluis, Plaza E.  2002.  Constructive adaptation. Lecture Notes in Artificial Intelligence. 2416:306-320.
Cano I, Torra V.  2009.  Container Loading for Nonorthogonal Objects with Stability and Load Bearing Strength Compliance. Logistics and Industrial Informatics, LINDI 2009. :13-18.
Torra V, Cano I, Miyamoto S, Endo Y.  2010.  Container loading for nonorthogonal objects: an approximation using local search and simulated annealing. Soft Computing. 14:537-544.
Torra V, Miyamoto S.  2008.  Container loading for nonorthogonal objects: detecting colisions. J. of Advanced Computational Intelligence and Intelligent Informatics. 12:422-425.
Amatriain X, Bonada J, Loscos À, Arcos JLluis, Verfaille V.  2003.  Content-Based Transformations. Journal of New Music Research. 32:95-114.
Plaza E, Arcos JLluis.  2001.  Context aware agents for personal information services. Lecture notes in artificial intelligence. 2182:44-55.
Levy J, Villaret M.  2001.  Context unification and Traversal Equations. Lecture Notes in Computer Science. 2051:169-184.
Arcos JLluis, Plaza E.  2002.  Context-Aware Personal Information Agents. International Journal on Cooperative Information Systems. 11:245-264.
Ribes A, Cerquides J, Demiris Y, de Mántaras RLópez.  2012.  Context-GMM: Incremental Learning of Sparse Priors for Gaussian Mixture Regression. 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012).
Decouchant D., Escalada-Imaz G, Martinez-Enriquez A.M., Mendoza S., Muhammad A..  2009.  Contextual Awareness based Communication and Coauthoring Proximity in the Internet. Expert Systems with Applications. 36:8391-8406.