Abstract
We present a first-order formalism for dealing with agents’ cognitive attitudes in a dynamic setting. We first extend our ontology in order to represent agents’ beliefs and goals. These mental attitudes are expressed in the situation calculus by means of accessibility fluents that represent accessibility relations among alternative situations. Then, we consider changes of mental attitudes in a dynamic and incompletely specified world. Changes may be caused either by the evolution of the external world or by the acquisition of new information. In particular, acquisition of information that modify agents’ cognitive attitudes is expressed by cognitive actions. The effects of cognitive actions are characterized by suitable axioms, thus providing a model for the evolution of the alternative situations and the accessibility fluents. We discuss our proposal and compare our model of change with the characterization of Belief Revision postulated by Gärdenfors. We finally introduce the problem of describing agents in a dynamic environment, and briefly sketch a possible extension of the theory that copes with this problem.
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
P. R. Cohen and H. J. Levesque. Intention is choice with commitment. Artificial Intelligence Journal, 42:213–261, 1990.
B. Errico. Intelligent Agents and User Modelling. PhD thesis, Dipartimento Informatica e Sistemistica, Università degli Studi di Roma “La Sapienza”, November 1996. Draft.
B. Errico. Student modelling in the situation calculus. In Proc. of the European Conf. of AI in Education, pages 305–310, 1996.
B. Errico and L. C. Aiello. Agents in the situation calculus: an application to user modelling. In D. M. Gabbay and H. J. Ohlbach, editors, Practical Reasoning, volume 1085 of Lecture Notes in Computer Science (subseries LNAI), pages 126–140. Springer-Verlag, 1996.
M. Fisher. Representing and executing agent-based systems. In Intelligent Agents ECAI-94 Workshop on Agent Theories, Architectures, and Languages. Springer-Verlag, 1994.
P. Gärdenfors. Knowledge in Flux. MIT Press, 1988.
A. Haddadi. Communication and Cooperation in Agent Systems, volume 1056 of Lecture Notes in Computer Science (subseries LNAI). Springer-Verlag, Berlin, Germany, 1995.
H. Katsuno and A. O. Mendelzon. On the difference between updating a knowledge base and revising it. In Proceedings of the Second International Conference on the Principles of Knowledge Representation and Reasoning (KR-91), pages 387–394. Morgan Kaufmann, 1991.
K. Konolige and M. E. Pollack. A representationalist theory of intention. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJGAI-93), pages 390–395. Morgan Kaufmann, 1993.
Y. Lespérance, H. J. Levesque, Lin F., D. Marcu, R. Reiter, and R. B. Scherl. Foundations of a logical approach to agent programming. In IJCAI-95 Workshop on Agent Theories, Architectures, and Languages, 1995.
H. J. Levesque, R. Reiter, Lin F., and R. B. Scherl. GOLOG: A logic programming language for dynamic domains. Artificial Intelligence, 1995. submitted.
F. Lin and R. Reiter. How to Progress a Database (and Why) I. Logical Foundations. In Proceedings of the Fourth International Conference on the Principles of Knowledge Representation and Reasoning (KR-94), pages 425–436. Morgan Kaufmann, 1994.
J. Mayfield, Y Labrou, and T. Finin. Evaluation of KQML as an agent communication language. In IJCAI-95 Workshop on Agent Theories, Architectures, and Languages, pages 282–291, 1995.
J. McCarthy and. First order theories of individual concepts and propositions. In J. E. Hayes, D. Michie, and L. J. Mikulick, editors, Machine Intelligence, volume 9, pages 129–148. Ellis Horwood, Chichester, England, 1979.
R. C. Moore. A formal theory of knowledge and action. In J. R. Hobbs and R. C. Moore, editors, Formal Theories of the Commonsense World, pages 319–358. Norwood, 1985.
J. Pinto. Temporal reasoning in the situation calculus. Technical Report KRR-TR-94-1, Dept. of Computer Science, Univ. of Toronto, 1994.
A. S. Rao and N. Y. Foo. Minimal change and maximal coherence: A basis for belief revision and reasoning about actions. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89), pages 966–971. Morgan Kaufmann, 1989.
A. S. Rao and M. P. Georgeff. Modelling rational agents within a BDI architecture. In Proceedings of the Second International Conference on the Principles of Knowledge Representation and Reasoning (KR-91), pages 473–484. Morgan Kaufmann, 1991.
A. S. Rao and M. P. Georgeff. Asymmetry thesis and side-effect problems in linear-time and branching-time intention logics. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI-93), pages 318–324. Morgan Kaufmann, 1993.
R. Reiter. The frame problem in the situation calculus: A simple solution (sometimes) and a completeness result for goal regression. In V. Lifshitz, editor, Artificial Intelligence and Mathematical Theory of Computation: Papers in Honor of John McCarthy, pages 359–380. Academic Press, 1991.
R. Reiter. Proving properties of states in the situation calculus. Artificial Intelligence Journal, (64):337–351, 1993.
R. Scherl and H. J. Levesque. The frame Problem and Knowledge Producing Actions. Artificial Intelligence, 1994. submitted.
S. Shapiro, Y. Lespérance, and H. Levesque. Goals and Ractional Actions in the Situation Calculus-A Preliminary Report. In Working Notes of AAAI Fall Symposium on Rational Agency: Concepts, Theories, Models, and Applications. Cambridge, MA, 1995.
J. van Benthem. Correspondence theory. In D. M. Gabbay and F. Guenthner, editors, Handbook of Philosophical Logic II, pages 167–247. D. Reidel Publishing Company, 1984.
B. van Linder, W. van der Hoek, and J. J. Meyer. Formalising motivational attitudes of agents. In M. Wooldridge, J. P. Müller, and M. Tombe, editors, Intelligent Agents Volume II-Agent Theories, Architectures and Languages, pages 17–32. Springer-Verlag, 1996.
B. van Linder, W. van der Hoek, and J. J. Ch. Meyer. Actions that make you change your mind. Technical Report UU-CS-1994-53, Utrecht University, 1994.
M. Wooldridge and N. R. Jennings. Agents theories, architectures and languages: A survey. In Intelligent Agents ECAI-94 Workshop on Agent Theories, Architectures, and Languages. Springer-Verlag, 1994.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Errico, B. (1999). Agents’ Dynamic Mental Attitudes. In: Meyer, JJ.C., Schobbens, PY. (eds) Formal Models of Agents. ModelAge 1997. Lecture Notes in Computer Science(), vol 1760. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46581-2_11
Download citation
DOI: https://doi.org/10.1007/3-540-46581-2_11
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67027-8
Online ISBN: 978-3-540-46581-2
eBook Packages: Springer Book Archive