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Agotnes T, van der Hoek W, Rodríguez-Aguilar JA, Sierra C, Wooldridge M.  2009.  Multi-Modal CTL: Completeness, Complexity, and an Application. Studia Logica. Volume 92:1-26.
Agotnes T, van der Hoek W, Rodríguez-Aguilar JA, Sierra C, Wooldridge M.  2009.  Multi-modal CTL: Completeness, complexity, and an application. Studia Logica. 91:1-26.
Agustí-Cullell J, Esteva F, García P, Godo L, de Mántaras RLópez, Sierra C.  1992.  Manging local fuzzy logics in MILORD II. IEE International Conference on fuzzy systems. :787-794.
Alsinet T, Chesñevar C., Godo L, Sandri S, Simari G..  2006.  Modeling Defeasible Argumentation within a Possibilistic Logic Framework with Fuzzy Unification. Proc. 11th Intl. Conference IPMU 2006. :1228-1235.
Alsinet T, Bejar R, Godo L, Guitart F.  2011.  Maximal Ideal Recursive Semantics for Defeasible Argumentation. SUM 2011. 6929:96-109.
Ansótegui C, Bonet MLuisa, Levy J, Manyà F.  2008.  Measuring the Hardness of SAT Instances. Proc. of the 23th AAAI Conference on Artificial Intelligence, AAAI-08. :222-228.
Ansótegui C, Bonet MLuisa, Levy J, Manyà F.  2007.  Mapping CSP into Many-Valued SAT. Proc. of the 10th International Conference on Theory and Applications of Satisfiability Testing, SAT'07. 4501:10-15.
Ansótegui C, Manyà F.  2005.  Mapping many-valued CNF Formulas to Boolean CNF Formulas. Proc. 35th Intern. Symposium on Multiple-Valued logics ISMVL. :290-295.
Arcos JLluis.  2012.  Music And Similarity-Based Reasoning. Soft Computing in Humanities and Social Sciences. 273:467-478.
Argerlich J., Cabiscol A, Lynce I, Manyà F.  2008.  Modelling Max-CSP as Partial Max-SAT. 11th International Conference on Theory and Applications of Satisfiability Testing (SAT-2008). 4996:1-14.
Armengol E, Plaza E.  2004.  Multiple-instance case-based learning for predictive toxicology. Lecture Notes in Computer Science. 3303:206-220.
Baccigalupo C, Plaza E.  2007.  Mining Music Social Networks for Automating Social Music Services. . ECML/KDD-07 Workshops Prior Conceptual Knowledge in Machine Learning and Data Mining and Web Mining 2.0. :123-134.
Blum C.  2020.  Minimum Common String Partition: On Solving Large-Scale Problem Instances. International Transactions in Operational Research. 27(1):91-111.
Blum C, Festa P.  2016.  Metaheuristics for String Problems in Bioinformatics. Computer Engineering Series -- Metaheuristics Set. :204.
Botti V, Garrido A, Giret A, Noriega P.  2009.  Managing Water Demand as a Regulated Open MAS. MALLOW Workshop on Coordination, Organization, Institutions and Norms in Agent Systems in On-Line Communities (COIN@MALLOW’09). 494:108-109.
Bou F, Esteva F, Godo L.  2007.  Modal systems based on many-valued logics. New dimensions in fuzzy logic and related technologies. Proceedings EUSFLAT 2007. I:177-182.
Bourazeri A, Pitt J, Almajano P, Rodriguez I, López-Sánchez M.  2012.  Meet the Meter: Visualising SmartGrids using Self-Organising Electronic Institutions and Serious Games. 2nd AWARE workshop on Challenges for Achieving Self-Awareness in Autonomic Systems.
Campos J, López-Sánchez M, Esteva M.  2009.  Multi-Agent System adaptation in a Peer-to-Peer scenario. ACM Symposium on Applied Computing - Agreement Technologies Track. :735-739.
Casali A, Godo L, Sierra C.  2005.  Multi-context specification for graded BDI-agent. Doctoral Consortium - Fifth International Conference on Modeling and Using Context (CONTEXT-05). Research Report LIP 6, Paris, Francia, Julio de 2005. :31-40.
Casali A, Godo L, Sierra C.  2006.  Modelos BDI graduados para arquitecturas de agentes. Revista Iberoamericana de Inteligencia Artificial.. 9:67-75.
Casali A, Godo L, Sierra C.  2004.  Modelos BDI graduados para arquitectura de agentes. Electronic proceedings of the argentine symposium on artificial intelligence. ASAI 2004 - 33 JJAIIO. :1-13.
Casali A, Godo L, Sierra C.  2006.  Modeling Travel Assistant Agents: A graded BDI approach. IFIP International Federation for Information Processing. 217:415-424.
Cerami M, Pardo P.  2011.  Many-valued Semantics for Vague Counterfactuals. Understanding Vagueness - Logical, Philosophical, and Linguistic Perspectives. :341-362.
Cerquides J, de Mántaras RLópez.  2004.  Maximum a posteriori tree augmented naive bayes classifiers. Lecture Notes in Artificial Intelligence. 3245:73-88.
Cerquides J, de Mántaras RLópez.  2003.  Maximum a Posteriori Tree Augmented Naive Bayes Classifiers.
Chalupa D, Blum C.  2017.  Mining k-Reachable Sets in Real-world Networks Using Domination in Shortcut Graphs. Journal of Computational Science. 22:1-14.
Chevaleyre Y., Dunne P.E, Endriss U., Lang J., Maudet N..  2006.  Multiagent Resource Allocation.. The Knowledge Engineering Review.
Chevaleyre Y., Dunne P.E, Endriss U., Lang J., Maudet N., Rodríguez-Aguilar JA.  2005.  Multiagent resource allocation. Knowledge engineering review. 20:143-149.
Coniglio M, Esteva F, Gispert J, Godo L.  2019.  Maximality in finite-valued Łukasiewicz logics defined by order filters. Journal of Logic and Computation. 29(1):125-156.
Criado N, Argente E, Noriega P, Botti V.  2013.  MaNEA: A distributed architecture for enforcing norms in open MAS. Engineering applications of artificial intelligence. 26:76-95.
Cuní G, Esteva M, García P, Puertas E, Sierra C, Solchaga T.  2004.  MASFIT: Multiagent system for fish trading. Proceedings of the 16th Eureopean Conference on Artificial Intelligence, ECAI'2004, including Prestigious Applicants of Intelligent Systems, PAIS 2004, Valencia, Spain, August 22-27, 2004. :710-714.
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, Agustí-Cullell J, Plaza E, Sierra C.  1991.  MILORD: A Fuzzy Expert Systems Shell. Fuzzy Expert Systems. :213-224.
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, Armengol E.  1998.  Machine Learning from Examples: Inductive and Lazy Methods. Data and Knowledge Engineering Journal. 25:99-123.
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.
Debenham J., Sierra C.  2008.  Merging Intelligent Agency and the Semantic Web. Knowledge-Based Systems. 21:184-191.
Debenham J., Sierra C.  2007.  Merging Intelligent Agency and the SemanticWeb. AI-2007 Twenty-seventh International Conference on Artificial Intelligence, UK, December. :197-210.
Delgado Mdel Carmen, Pujol-Gonzalez M, Sierra C.  2012.  Multiagent Co-ordination of Wireless Sensor Networks. First International Workshop on Citizen Sensor Networks. 7685:19-32.
Domingo-Ferrer J, Torra V.  2003.  Median-Based Aggregation Operators for Prototype Construction in Ordinal Scales. International Journal of Intelligent Systems. 18:633-655.
D´err L, Verbiest N, Cornelis C, Godo L.  2014.  Modelos de Conjuntos Rugosos Difusos Tolerantes al Ruido: Definiciones y Propiedades. XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014). :27-32.
Espinoza MMorveli, Puyol-Gruart J.  2009.  Managing quality in agent dialogues. Seventh European Workshop on Multi-Agent Systems (EUMAS 2009).
Esteva F.  2010.  Modalities and many-valued: modeling uncertainty measures and similarity-based reasoning and application to Fuzzy description Logics .. LINZ seminar. :45-48.
Esteva F.  2003.  Mathematical Fuzzy Logic II. Abstracts 12th International Congress of Logic, Methodology and Philosophy of Science. :536.
Flaminio T, Marchioni E.  2007.  Mixed Rational Assessments of Possibility and Probability Measures. Electronic Notes in Theoretical Computer Science. 169:33–42.
Flaminio T, Montagna F.  2011.  Models for Many-Valued Probabilistic Reasoning. Journal of Logic and Computation. 21:447–464.
Flaminio T, Montagna F.  2009.  MV-algebras with internal states and probabilistic fuzzy logics. Internationa Journal of Approximate Reasoning. 50:138–152.
Fornara N, Cardoso HLopes, Noriega P, Oliveira E, Tampitsikas C, Schumacher MI.  2013.  Modelling Agent Institutions. Agreement Technologies. :277-307.