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Bejar R, Fernandez C, Mateu C, Manyà F, Sole-Mauri F, Vidal D.  2012.  The Automated Vacuum Waste Collection Optimization Problem. AAAI 2012. :264-266.
Bellón V, Cerquides J, Grosse I.  2012.  Gaussian Join Tree classifiers with applications to mass spectra classification. 6th European Workshop on Probabilistic Graphical Models. :19-26.
Belluce L.P., Di Nola A, Marchioni E.  2010.  Rings and Godel Algebras. Algebra Universalis. 63:14.
Belmonte MAngel, Sierra C, de Mántaras RLópez.  1994.  RENOIR An Expert System using Fuzzy Logic for rheumatology diagnosis. International Journal of Intelligent Systems. 9:985-1000.
Belmonte MAngel, Sierra C, de Mántaras RLópez, Sanz F, Sancho J, Miravitlles M.J..  1993.  RENOIR: Development and Validation of an Expert System for Inflamatory Arthropaties and Collagean Diseases. Arthritis and Rheumatism. 36
V. Benjamins R, Plaza E, Motta E, Fensel D, Studer R, Wielinga B, Schreiber G, Zdráhal Z.  1998.  IBROW3 - An Intelligent Brokering Service for Knowledge-Component Reuse on the World Wide Web. In the proceedings of the Eleventh Workshop on Knowledge Acquisition (KAW'98), Modeling and Management. :18-23.
Berger H, Dittenbach M, Merkl D., Bogdanovych A, Simoff S, Sierra C.  2006.  Playing the e-Bussines Game in 3D Virtual Worlds. Annual conference of the Australian Computer-Human Interaction. Special Interest Group (OZCHI 20006). :Inpress.
Berger H, Dittenbach M, Merkl D., Bogdanovych A, Simoff S, Sierra C.  2007.  Opening New Dimension for e-Tourism. Virtual Reality, Springer. Special Is:75-87.
Bergmann R, Kolodner J, Plaza E.  2006.  Representation in case-based reasoning. The Knowledge engineering review. 20:209-213.
Besnard P., Clarke M., Delgado M., Dubois D, Fox J., Froidevaux C., de Mántaras RLópez, al. et.  1993.  Defeasible Reasoning and Uncertainty Management Systems. AI Communications. 6:27-46.
Besold TR, Kühnberger K-U, Plaza E.  2017.  Towards a Computational- and Algorithmic-Level Account of Concept Blending Using Analogies and Amalgams. Connection Science. 29:387–413.
Besold TR, Schorlemmer M, Smaill A.  2015.  Computational Creativity Research: Towards Creative Machines. Atlantis Thinking Machines. 7
Bessière C, Maestre A, Meseguer P.  2001.  Dynamic Backtracking distribué. Proceedings Journées nationales sur la résolution pratique de problèmes NP-Complets, JNPC´2001. :61-72.
Bessière C, Brito I, Gutierrez P, Meseguer P.  2012.  Soft Global Constraints in Distributed Constraint Optimization. AAMAS 2012 workshop: International Workshop on Optimisation in Multi-Agent Systems. :43–50.
Bessière C, Boizumault P, de Givry S, Gutierrez P, Loudni S, Métivier J-P, Schiex T.  2011.  Decomposing Global Cost Functions. CP 2011 workshop: Preferences and Soft Constraints. :16-30.
Bessière C, Gutierrez P, Meseguer P.  2012.  Including Soft Global Constraints in DCOPs. 18th International Conference on Principles and Practice of Constraint Programming (CP 2012).
Bessière C, Maestre A, Meseguer P.  2001.  Distributed Dynamic Backtracking. Proceedings of the IJCAI´01. Workshop on Distributed Constraint Reasoning. :9-16.
Bessière C, Meseguer P, Freuder EC, Larrosa J.  2002.  On foward checking for non-binary constraint satisfaction. Artificial Intelligence. 141:205-224.
Bessière C, Brito I, Maestre A, Meseguer P.  2005.  Asynchronous Backtracking without Adding Links: A new Member in the ABT Family. Artificial Intelligence. 161:7-24.
Bessière C, Maestre A, Meseguer P.  2002.  La famille ABT. 8èmes Journées Nationales sur la Résolution Pratique de Problèmes NP-Complets, JNPC´02. :57-67.
Bessière C, Brito I, Gutierrez P, Meseguer P.  2012.  Global Constraints in Distributed Constraint Satisfaction. 11th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2012). :1263-1264.
Bessière C, Brito I, Gutierrez P, Meseguer P.  2013.  Global constraints in distributed constraint satisfaction and optimization. The Computer Journal.
Bianchi R, Ramisa A, de Mántaras RLópez.  2008.  Learning to select Object Recognition Methods for Autonomous Robots. 18th European Conference on Artificial Intelligence. :927-928.
Bianchi R, de Mántaras RLópez.  2010.  Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions. ECAI 2010: 19th European Conference on Artificial Intelligence. :355-360.
Bianchi R, Ramisa A, de Mántaras RLópez.  2010.  Automatic Selection of Object Recognition Methods using Reinforcement Learning.. Advances in Machine Learning I (dedicated to the memory of Prof. Ryszard S. Michalski). 262:421-439.
Bianchi R, de Mántaras RLópez.  2009.  Should I Trust my Teammates? An experiment in Heuristic Multiagent Reinforcement Learning IJCAI Workshop on Grand Challenges for Reasoning from Experiences. :11-15.
Bianchi R, Celiberto L.A, Matsuura J.P., Santos P.E., de Mántaras RLópez.  2015.  Transferring knowledge as heuristics in Reinforcement Learning: a case base approach. Artificial Intelligence. 226:102-121.
Bianchi R, Ros R, de Mántaras RLópez.  2009.  Improving Reinforcement Learning by using Case-Based Heuristics. ICCBR'09: 8th International Conference on Case-Based Reasoning. 5650:75-89.
Billhardt H, Fernandez A, Lemus L, Lujak M, Osman N, Ossowski S, Sierra C.  2014.  Dynamic Coordination in Fleet Management Systems: Toward Smart Cyber Fleets. Intelligent Systems. 29:70-76.
Birukou A, Wakeling JR, Bartolini C, Casati F, Marchese M, Mirylenka K, Osman N, Ragone A, Sierra C, Wassef A.  2011.  Alternatives to peer review: novel approaches for research evaluation. Frontiers in Computational Neuroscience. 5
Bistaffa F, Farinelli A.  2018.  A COP Model For Graph-Constrained Coalition Formation. Journal of Artificial Intelligence Research. 62:133-153.
Bistaffa F, Farinelli A, Chalkiadakis G, Ramchurn SD.  2017.  A Cooperative Game-Theoretic Approach to the Social Ridesharing Problem. Artificial Intelligence. 246:86-117.
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).
Bistaffa F, Farinelli A.  2018.  A COP Model for Graph-Constrained Coalition Formation (Extended Abstract). International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2018). :5553-5557.
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, Rodríguez-Aguilar JA, Cerquides J, Ramchurn SD.  2017.  Algorithms for Graph-Constrained Coalition Formation in the Real World. ACM Transactions on Intelligent Systems. 8(4):1-24.
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.
Bistaffa F, Rodríguez-Aguilar JA, Cerquides J, Blum C.  2018.  A Simulation Tool for Large-Scale Online Ridesharing (Demonstration). International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018). :1797-1799.
Blandi L, Godo L, Rodriguez ROscar.  2005.  A Connection between Similarity Logic Programming and Gödel Modal Logic. Joint 4th EUSFLAT & 11th LFA Conference 7-9 September, 2005 - Barcelona, Spain. :775-780.
Blesa MJ, Blum C, Santos HGambini, Davidson PPinacho, del Campo JGodoy.  2019.  HM 2019 - Proceedings of the 11th International Workshop on Hybrid Metaheuristics. LNCS 11299
Blondeel M, Flaminio T, Schockaert S, Godo L, de Cock M.  2015.  On the relationship between fuzzy autoepistemic logic and fuzzy modal logics of belief. Fuzzy Sets and Systems. 276:74-99.
Blondeel M, Flaminio T, Godo L.  2012.  Relating fuzzy autoepistemic logic and Lukasiewicz KD45 modal logic. Logic, Algebra and Truth Degrees 2012 (LATD 2012). :35-39.
Blondeel M, Flaminio T, Godo L, de Cock M.  2013.  Relating fuzzy autoepistemic logic to fuzzy modal logics of belief. IJCAI-13 Workshop on Weighted Logics for Artificial Intelligence (WL4AI-2013). :18-25.
Blum C, Blesa MJ, Duarte A, Sánchez-Oro J.  2017.  An Alternative ILP Model and Algorithmic Ideas for the Maximum Edge-Disjoint Paths Problem. Metaheuristics International Conference (MIC). :938-940.
Blum C, Blesa MJ.  2018.  Hybrid Techniques Based on Solving Reduced Problem Instances for a Longest Common Subsequence Problem. Applied Soft Computing. 62:15-28.
Blum C, Juan AA, Lourenco HRamalhinho, Stützle T.  2017.  Special issue on "Metaheuristics". International Transactions in Operational Research. 24(3):681-682.
Blum C, Festa P.  2018.  Selected String Problems. Handbook of Heuristics. :1221-1240.
Blum C, Santos HGambini.  2019.  Generic CP-Supported CMSA for Binary Integer Linear Programs. International Workshop on Hybrid Metaheuristics (HM 2019). LNCS 11299:1-15.
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.