Abstract
In intentional agents, actions are derived from the mental attitudes and their relationships. In particular, preferences (positive desires) and restrictions (negative desires) are important proactive attitudes which guide agents to intentions and eventually to actions. In this paper we overview recent developments about a multi-context based agent architecture g-BDI to represent and reasoning about gradual notions of desires and intentions, including sound and complete logical formalizations. We also show that the framework is expressive enough to describe how desires, together with other information, can lead agents to intentions and finally to actions. As a case-study, we will also describe the design and implementation of recommender system on tourism as well as the results of some experiments concerning the flexibility and performance of the g-BDI model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Benferhat, S., Dubois, D., Kaci, S., Prade, H.: Bipolar representation and fusion of preferences in the possilistic Logic framework. In: Proceedings of the 8th International Conference on Principle of Knowledge Representation and Reasoning (KR 2002), pp. 421–448 (2002)
Benferhat, S., Dubois, D., Kaci, S., Prade, H.: Bipolar possibility theory in preference modeling: Representation, fusion and optimal solutions. Information Fusion 7, 135–150 (2006)
Casali, A.: On Intensional and social agents with graded attitudes. Ph.D. Dissertation. University of Girona, Spain (December 2008)
Casali, A., Godo, L., Sierra, C.: Graded BDI Models For Agent Architectures. In: Leite, J., Torroni, P. (eds.) CLIMA 2004. LNCS (LNAI), vol. 3487, pp. 126–143. Springer, Heidelberg (2005)
Casali, A., Godo, L., Sierra, C.: Modelling Travel Assistant Agents: a graded BDI Approach. In: Bramer, M. (ed.) Proceedings of the IFIP-AI, WCC, Artificial Intelligence in Theory and Practice, vol. 217, pp. 415–424. Springer, Heidelberg (2006)
Casali, A., Godo, L., Sierra, C.: A Logical Framework to Represent and Reason about Graded Preferences and Intentions. In: Brewka, G., Lang, J. (eds.) Proceedings of the 11th International Conference on Principles of Knowledge Representation and Reasoning, KR 2008, pp. 27–37. The AAAI Press, Menlo Park (2008)
Casali, A., Godo, L., Sierra, C.: Validation and Experimentation of a Tourism Recommender Agent based on a Graded BDI Model. In: Alsinet, T., et al. (eds.) Artificial Intelligence Research and Developement. Series: Frontiers in Artificial Intelligence and Applications, vol. 184, pp. 41–50. IOS Press, Amsterdam (2008)
Casali, A., Godo, L., Sierra, C.: A Tourism Recommender Agent: From theory to practice. Inteligencia Articial 40, 23–38 (2008)
Georgeff, M., Pell, B., Pollack, M., Tambe, M., Wooldridge, M.: The Belief-Desire-Intention Model of Agency. In: Rao, A.S., Singh, M.P., Müller, J.P. (eds.) ATAL 1998. LNCS (LNAI), vol. 1555. Springer, Heidelberg (1999)
Giunchiglia, F., Serafini, L.: Multilanguage Hierarchical Logics (or: How we can do without modal logics). In: Artificial Intelligence, vol. 65, pp. 29–70 (1994)
Godo, L., Esteva, F., Hájek, P.: Reasoning about probabilities using fuzzy logic. Neural Network World 10, 811–824 (2000)
Hájek, P.: Metamatematics of Fuzzy Logic. In: Trends in Logic, vol. 4. Kluwer Academic Publishers, Dordrecht (1998)
Hájek, P., Godo, L., Esteva, F.: Fuzzy logic and probabitity. In: Proc. of the International Conference on Uncertainty in Artificial Intelligence (UAI 1995), Montreal, Canada, pp. 237–244 (1995)
Meyer, J.J.: Dynamic Logic for Reasoning about Actions and Agents. In: Minker, J. (ed.) Logic-based artificial intelligence, pp. 281–311. Kluwer Academic Publishers, Dordrecht (2000)
Parsons, S., Sierra, C., Jennings, N.R.: Agents that reason and negociate by arguing. Journal of Logic and Computation 8(3), 261–292 (1998)
Rao, A., Georgeff, M.: BDI Agents: from Theory to Practice. In: Proc. of the 1st International Conference on Multi-Agents Systems, pp. 312–319 (1995)
Rahwan, I., Amgoud, L.: An Argumentation based Approach for Practical Reasoning. In: Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), pp. 347–354 (2006)
Rotstein, N.D., García, A.J., Simari, G.R.: Reasoning from Desires to Intentions: A Dialectical Framework. In: Twenty-Second AAAI Conference on Artificial Intelligence (AAAI 2007), Vancouver, BC, Canada, pp. 136–141 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Casali, A., Godo, L., Sierra, C. (2009). g-BDI: A Graded Intensional Agent Model for Practical Reasoning. In: Torra, V., Narukawa, Y., Inuiguchi, M. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2009. Lecture Notes in Computer Science(), vol 5861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04820-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-04820-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04819-7
Online ISBN: 978-3-642-04820-3
eBook Packages: Computer ScienceComputer Science (R0)