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Arcos JLluis, Rodríguez-Aguilar JA, Rosell B.  2007.  Engineering Autonomic Electronic Institutions. Proceedings of the Engineering Environment-Mediated Multiagent Systems Workshop. Satellite Conference at The European Conference on Complex Systems (ECCS 2007). :45-52.
Arcos JLluis, de Mántaras RLópez.  2000.  Combining AI Techniques to Perform Expressive Music by Imitation. Workshop on Artificial Intelligence and Music: Towards formal models for composition, performance and analysis. :41-47.
Argente E, Boissier O, Carrascosa C, Fornara N, Mcburney P, Noriega P, Ricci A, Sabater-Mir J., Schumacher MIgnaz, Tampitsikas C et al..  2012.  Environment and Agreement Technologies. Proceedings of the First International Conference on Agreement Technologies. :260-261.
Argente E, Boissier O, Carrascosa C, Fornara N, Mcburney P, Noriega P, Ricci A, Sabater-Mir J., Schumacher MIgnaz, Tampitsikas C et al..  2013.  The role of the environment in agreement technologies. Artificial Intelligence Review. 39:21-38.
Argerlich J., Li CMin, Manyà F, Planes J.  2011.  Analyzing the Instances of the MaxSAT Evaluation. 14th International Conference on Theory and Applications of Satisfiability Testing, SAT 2011. 6695:360-361.
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.
Argerlich J., Cabiscol A, Lynce I, Manyà F.  2009.  Sequential Encodings from Max-CSP into Partial Max-SAT. 12th International Conference on Theory and Applications of Satisfiability Testing (SAT 2009). LNCS 5584:161-166.
Argerlich J., Cabiscol A, Lynce I, Manyà F.  2010.  New Insights into Encodings from MaxCSP into Partial MaxSAT. 40th IEEE International Symposium on Multiple-Valued Logic (ISMVL). :46-52.
Argerlich J., Manyà F.  2005.  Solving over-constrained problems with SAT technology. Lecture Notes in Computer Science. :1-15.
Argerlich J., Manyà F.  2006.  Exact Max-SAT solvers for over-constrained problems. Journal of Heuristics. :375-392.
Argerlich J., Domingo X, Li CMin, Manyà F, Planes J..  2006.  Towards Solving Many-Valued MaxSAT. Proceedings, 36th International Symposium on Multiple-Valued Logics (ISMVL-2006), Singapore.
Argerlich J., Li CMin, Manyà F, Planes J.  2008.  The First and Second Max-SAT Evaluations. Journal on Satisfiability, Boolean Modeling and Computation. 4:251-278.
Argerlich J., Li CMin, Manyà F, Planes J.  2011.  Experimenting with the Instances of the MaxSAT Evaluation. 14th International Conference of the Catalan Association for Artificial Intelligence. 232:31-40.
Argerlich J., Cabiscol A, Lynce I, Manyà F.  2012.  Efficient Encodings from CSP into SAT, and from MaxCSP into MaxSAT. Multiple-Valued Logic and Soft Computing. 19:3-23.
Argerlich J., Manyà F.  2008.  A Preprocessor for Max-SAT Solvers. 11th International Conference on Theory and Applications of Satisfiability Testing (SAT-2008). 4996:15-20.
Armengol E.  2007.  Discovering plausible explanations of carcinogenenecity in chemical compounds. Lecture Notes in Artificial Intelligence. 4571:756-769.
Armengol E, Esteva F, Godo L, Torra V.  2004.  On learning similarity relations in fuzzy case-based reasoning. Lecture Notes in Computer Science. 3135:14-32.
Armengol E, Dellunde P, García-Cerdaña A.  2016.  On similarity in fuzzy description logics. Fuzzy Sets and Systems. 292:49–74.
Armengol E, Plaza E.  1995.  Integrating induction in a Case-based Reasoner. Lecture Notes in Artificial Intelligence. 984:3-17.
Armengol E, Palaudàries A., Plaza E.  2000.  Raonament basat en Casos per Pronosticar Riscos a Llarg Termini en Pacients amb Diabetis Mellitus. Proceedings of the. :209-218.
Armengol E, Puertas E.  2006.  Learning from cooperation using justifications. Artificial Intelligence Research and Development. :47-54.
Armengol E, Plaza E.  1994.  A Knowledge Level Model of Knowledge -Based Reasoning. Lecture Notes in Artificial Intelligence. 837:53-64.
Armengol E, Dellunde P, García-Cerdaña A.  2012.  Towards a Fuzzy Extension of the López de Mántaras Distance. IPMU 2012. 297:81-90.
Armengol E.  2007.  Usages of Generalization in CBR. Lecture Notes in Artificial Intelligence. :31-45.
Armengol E, Plaza E.  2001.  Lazy Induction of Descriptions for Relational Case-Based Learning. Lecture Notes in Artificial Intelligence. 2167:13-24.
Armengol E, Plaza E.  1995.  Explanation-based Learning: A Knowledge Level Analysis. AI Review. 9:19-35.
Armengol E.  2009.  Using explanations for determining carcinogenecity in chemical compounds. International Journal on Engineering Applications of Artificial Intelligence. 22:8.
Armengol E.  1999.  Explanation-based Learning.
Armengol E.  2008.  Building partial domain theories from explanations. Knowledge Intelligence. 2/08:19-24.
Armengol E, Dellunde P, García-Cerdaña A.  2014.  Local and Global Similarities in Fuzzy Class Theory.. CCIA'14. 269:205-217.
Armengol E, Dellunde P, Ratto C.  2011.  Lazy Learning Methods for Quality of Life Assessment in people with intellectual disabilities. CCIA-2011. :41-50.
Armengol E, Plaza E.  2000.  Bottom-up induction of feature terms. Machine Learning Journal. 41:259-294.
Armengol E, Puyol-Gruart J.  2017.  A reward-based approach for preference modeling: A case study. Journal of Applied Logic. 23:51-69.
Armengol E, Plaza E.  2006.  Symbolic explanation of similarities in case-based reasoning. Computing and Informatics. 25:153-171.
Armengol E.  2000.  Explanation-based Learning.
Armengol E, Plaza E.  2002.  Similarity of structured cases in CBR. Butlletí de L'ACIA. CCIA'2002. 5è Congrès Català d'Intel.ligència Artificial, Castelló, 24-25 d'Octubre del 2002.gs of the 5th Catalan Conference on Artificial Intelligence (CCIA'2002). :153-160.
Armengol E, Puig S.  2011.  Combining two lazy learning methods for classification and knowledge discovery.. International Conference on Knowledge Discovery and Information Retrieval.
Armengol E, Plaza E.  2003.  Discovery of toxicological patterns with lazy learning. Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence. 2774:919-926.
Armengol E, Dellunde P, García-Cerdaña A.  2010.  On Similarities in Fuzzy Description Logics. Logic, Algebra and Truth Degrees 2010. 502:44-49.
Armengol E, Plaza E.  2005.  Lazy Learning for Predictive Toxicology based on a Chemical Ontology. Artificial Intelligence Methods and Tools for Systems Biology. :1-18.
Armengol E, Plaza E.  2005.  An ontological approach to represent molecular structure information. Lecture Notes in Computer Science. Lecture Notes in Bioinformatics. 3745:394-304.
Armengol E.  1998.  A Framework for Integrated Learning and Problem Solving.
Armengol E, Torra V.  2015.  Generalization-Based k-Anonymization. 5861:207-218.
Armengol E, Plaza E.  2003.  Remembering Similitude Terms in CBR. Machine Learning and Data Mining in Pattern Recognition (MLDM 2003). LNAI 2734:121-130.
Armengol E, García-Cerdaña A.  2010.  Lazy induction of descriptions using two fuzzy versions of the Rand index. IPMU 2010. 80:396-405.
Armengol E, Puyol-Gruart J.  2015.  A Simple Experiment to Guide the Design of a Preference Model. Artificial Intelligence Research and Development, Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence. 277:59-68.
Armengol E, Plaza E.  2005.  Using Symbolic Similarity to Explain CBR in Classification Task. Fall Symposium. Proceedings AAAI. FS-05-04. :1-9.
Armengol E, Puertas E.  2006.  Improving individual learning capabilities in Multi-Agent Systems. Workshop on Adaptation and Learning in autonomous agents and multi-agent systems. AAMAS-2006.
Armengol E, Dellunde P, García-Cerdaña A.  2015.  A Logical Study of Local and Global Graded Similarities. Applied Artificial Intelligence. 29:424-444.
Armengol E.  2011.  Classification of Melanomas in situ using Knowledge Discovery with Explained CBR. Artificial Intelligence in Medicine. 51:12.