Jaume
Jaume
 
Agustí-Cullell
Agustí-Cullell


Department:

Logic and Reasoning
Logic and Reasoning

Position:




Research areas:

      Impact areas:

          SDGs:

              Phone Extension:

              E-mail:

              agusti@iiia.csic.es
              agusti@iiia.csic.es

              Website:

               Active Learning
               Algebraic logic
               Approximate Reasoning and Soft computing
               Argumentation
               Automated Auctions
               Automated Negotiation
               Automated Reasoning
               Autonomous Robots
               Case-Based Reasoning
               Combinatorial Optimisation
               Computational Creativity
               Computational Ontologies
               Data mining
               Data Privacy
               Deep Learning
               Embodied Cognition
               Expert Systems
               Fuzzy Logic
               Integration of Problem Solving and Learning
               Machine Learning
               Modal Logic
               Multiagent Systems
               Natural Language Processing
               Nonmonotonic Reasoning
               Normative Systems
               Optimisation
               Probabilistic Graphical Models
               Probabilistic Learning
               Probability Logic
               Recommender Systems
               Satisfiability models
               Self-* Systems
               Semantic Alignment
               Social Simulation
               Solving constraint-based problems
               Swarn Computing
               Team Formation
               Time Series Analysis
               Trust and Reputation
               Cultural Heritage
               Culture & Creativity
               Education
               Health
               Industry
               Optimisation
               SDGs
               Smart Cities
               Tourism
               Transport / Automotive
               GOAL 10: Reduced Inequality
               GOAL 11: Sustainable Cities and Communities
               GOAL 13: Climate Action
               GOAL 3: Good Health and Well-being
               GOAL 4: Quality Education
               GOAL 6: Clean Water and Sanitation
               GOAL 7: Affordable and Clean Energy
               GOAL 9: Industry, Innovation and Infrastructure
              2009
              Jaume Agustí-Cullell,  & Flavio Soares Correa Silva (2009). Experimental Information and Experimental Knowledge. Jordi Vallverdú (Eds.), 7th European Conference on Computing and Philosophy, E-CAP'09 (pp. 71-72). [BibTeX]  [PDF]
              2008
              Flavio Soares Correa Silva,  & Jaume Agustí-Cullell (2008). Information Flow and Knowledge Sharing (pp. 279). Elsevier. [BibTeX]
              2003
              Carles Sierra,  J. Sabater-Mir,  Jaume Agustí-Cullell,  & Pere García (2003). Integrating evolutionary computing and the SADDE methodology. Jeffrey S. Rosenschein, Tuomas Sandholm, Michael Wooldridge, & Makoto Yokoo (Eds.), Second International Conference on Autonomous Agents and Multiagent systems (AAMAS-03) July-2003 Melburne , Australia (pp. 1116-1117). ACM Press. [BibTeX]  [PDF]
              2002
              Wamberto W. Vasconcelos,  David Robertson,  Jaume Agustí-Cullell,  Carles Sierra,  J. Sabater-Mir,  Simon Parsons,  Chris Walton,  & Michael Wooldridge (2002). A lifecicle for models of large multi-agent systems. M. Wooldridge, G. Weiss, & P. Ciancarini (Eds.), Lecture Notes in Computer Science (pp. 307-325). Springer-Verlag. [BibTeX]  [PDF]
              Carles Sierra,  J. Sabater-Mir,  Jaume Agustí-Cullell,  & Pere García (2002). Evolutionary computation and multiagent systems design. 1srt. International Conference on Autonomous Agents and Multiagent systems (pp. 1270-1271). ACM Press. [BibTeX]  [PDF]
              Carles Sierra,  J. Sabater-Mir,  & Jaume Agustí-Cullell (2002). Evolutionary Programming in SADDE. Cristiano Castellfranchi, & W. Lewis Johnson (Eds.), Procedings of the First International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2002, july 15-19, Bologna, Italy (pp. 1270-1271). ACM Press. [BibTeX]  [PDF]
              Carles Sierra,  J. Sabater-Mir,  Jaume Agustí-Cullell,  & Pere García (2002). Evoultionary computation in MAS design. European Conference on Artificial Intelligence (pp. 189-192). [BibTeX]  [PDF]
              Flavio Soares Correa Silva,  Wamberto W. Vasconcelos,  David Robertson,  Virginia Brilhante,  Ana Melo,  Marcelo Finger,  & Jaume Agustí-Cullell (2002). On the Insufficiency of Ontologies: Problems in Knowledge Sharing and Alternative Solutions. Knowledge-Based Systems, 15, 147-167. [BibTeX]  [PDF]
              1999
              Flavio Soares Correa Silva,  Wamberto W. Vasconcelos,  Jaume Agustí-Cullell,  David Robertson,  & Ana Melo (1999). Why Ontologies Are Not Enough for Knowledge Sharing. Multiple Approaches to Intelligent Systems. 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-99, Cairo, Egypt, May 31 - June 3, 1999. Proceedings (pp. 520-529). Springer. [BibTeX]
              1998
              Jaume Agustí-Cullell,  Francesc Esteva,  Pere García,  Lluís Godo,  & Carles Sierra (1998). Combining Multiple-valued logics in Modular Expert Systems. Avances en Fuzzy Logic, 5 . (repri, 241-263. [BibTeX]  [PDF]
              1996
              Jordi Levy,  & Jaume Agustí-Cullell (1996). Bi-Rewrite Systems. Journal of Symbolic Computation, 22, 279-314. https://doi.org/10.1006/jsco.1996.0053. [BibTeX]
              1994
              David Stuart Robertson,  Jaume Agustí-Cullell,  Jane Hesketh,  & Jordi Levy (1994). Expressing Program Requirements Using Refinement Lattices. Fundamenta Informaticae, 21, 163-182. https://doi.org/10.3233/FI-1994-2131. [BibTeX]
              Jaume Agustí-Cullell,  Francesc Esteva,  Pere García,  Lluís Godo,  Ramon López Mántaras,  & Carles Sierra (1994). Logical multi-valued logics in modular expert systems. Journal of Experimental and Theoretical Artificial Intelligence, 6, 303-321. [BibTeX]  [PDF]
              1993
              Jordi Levy,  & Jaume Agustí-Cullell (1993). Bi-rewriting, a Term Rewriting Technique for Monotonic Order Relations. Proc. of the 5th Int. Conf. on Rewriting Techniques and Applications, RTA'93 . https://doi.org/10.1007/3-540-56868-9_3. [BibTeX]
              David Stuart Robertson,  Jaume Agustí-Cullell,  Jane Hesketh,  & Jordi Levy (1993). Expressing Program Requirements Using Refinement Lattices. Proc. of the 7th Int. Symp. on Metodologies for Intelligent Systems, ISMIS'93 . https://doi.org/10.1007/3-540-56804-2_23. [BibTeX]
              1992
              Ramon López Mántaras,  Carles Sierra,  & Jaume Agustí-Cullell (1992). COLAPSES: A modular architecture and languaje for modelling metacontrol and uncertainty. Ernesto Costa (Eds.), New Directions for Intelligent Tutoring Systems (pp 28-37). Sopringer. [BibTeX]  [PDF]
              Jordi Levy,  & Jaume Agustí-Cullell (1992). Implementing Inequality and Nondeterministic Specifications with Bi-rewriting Systems. Lecture Notes in Computer Science (pp. 252-267). Springer-Verlag. [BibTeX]  [PDF]
              Jaume Agustí-Cullell,  Francesc Esteva,  Pere García,  Lluís Godo,  Ramon López Mántaras,  & Carles Sierra (1992). Manging local fuzzy logics in MILORD II. IEE International Conference on fuzzy systems (pp. 787-794). [BibTeX]  [PDF]
              Jaume Agustí-Cullell,  Francesc Esteva,  Pere García,  Lluís Godo,  Ramon López Mántaras,  Lluis Murgui,  Josep Puyol-Gruart,  & Carles Sierra (1992). Structured Local Fuzzy logics in MILORD. J. Kacprzyk L.A. Zadeh (Eds.), Fuzzy Logic for the Management of Uncertainty (pp 523-551). john Wiley and Sons. [BibTeX]  [PDF]
              Ramon López Mántaras,  Carles Sierra,  & Jaume Agustí-Cullell (1992). The Representation and use of Meta-Knowledge and Uncertainty in MILORD. R. Yager, & L.A. Zadeh (Eds.), An introduction to Fuzzy Logic Applications (pp 253-262). Kluwer. [BibTeX]  [PDF]
               Principal Invesitgator (PI)
               Coordinated by IIIA
               Active Learning
               Algebraic logic
               Approximate Reasoning and Soft computing
               Argumentation
               Automated Auctions
               Automated Negotiation
               Automated Reasoning
               Autonomous Robots
               Case-Based Reasoning
               Combinatorial Optimisation
               Computational Creativity
               Computational Ontologies
               Data mining
               Data Privacy
               Deep Learning
               Embodied Cognition
               Expert Systems
               Fuzzy Logic
               Integration of Problem Solving and Learning
               Machine Learning
               Modal Logic
               Multiagent Systems
               Natural Language Processing
               Nonmonotonic Reasoning
               Normative Systems
               Optimisation
               Probabilistic Graphical Models
               Probabilistic Learning
               Probability Logic
               Recommender Systems
               Satisfiability models
               Self-* Systems
               Semantic Alignment
               Social Simulation
               Solving constraint-based problems
               Swarn Computing
               Team Formation
               Time Series Analysis
               Trust and Reputation
               Cultural Heritage
               Culture & Creativity
               Education
               Health
               Industry
               Optimisation
               SDGs
               Smart Cities
               Tourism
               Transport / Automotive
               GOAL 10: Reduced Inequality
               GOAL 11: Sustainable Cities and Communities
               GOAL 13: Climate Action
               GOAL 3: Good Health and Well-being
               GOAL 4: Quality Education
               GOAL 6: Clean Water and Sanitation
               GOAL 7: Affordable and Clean Energy
               GOAL 9: Industry, Innovation and Infrastructure