Abstract
Although many formalisms have been proposed for reasoning about intelligent agents, few of these have been semantically grounded in a concrete computational model. This paper presents \(\cal VSK\) logic, a formalism for reasoning about multi-agent systems, in which the semantics are grounded in an general, finite state machine-like model of agency. \(\cal VSK\) logic allows us to represent: what is objectively true of the environment; what is visible, or knowable about the environment; what the agent perceives of the environment; and finally, what the agent actually knows about the environment. \(\mathcal{VSK}\) logic is an extension of modal epistemic logic. The possible relationships between what is true, visible, perceived, and known are discussed and characterised in terms of the architectural properties of agents that they represent. Some conclusions and issues are then discussed.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Allen, J.F., Hendler, J., Tate, A. (eds.): Readings in Planning. Morgan Kaufmann Publishers, San Mateo (1990)
Brafman, R.I., Shoham, Y.: Knowledge considerations in robotics and distribution of robotic tasks. In: Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI 1995), Montréal, Québec, Canada, pp. 96–102 (1995)
Catach, L.: Normal multimodal logics. In: Proceedings of the Seventh National Conference on Artificial Intelligence (AAAI 1988), St. Paul, MN, pp. 491–495 (1988)
Cohen, P.R., Levesque, H.J.: Intention is choice with commitment. Artificial Intelligence 42, 213–261 (1990)
Fagin, R., Halpern, J.Y., Moses, Y., Vardi, M.Y.: Reasoning About Knowledge. The MIT Press, Cambridge (1995)
Genesereth, M.R., Nilsson, N.: Logical Foundations of Artificial Intelligence. Morgan Kaufmann Publishers, San Mateo (1987)
Lomuscio, A., Ryan, M.: A spectrum of modes of knowledge sharing between agents. In: Jennings, N.R. (ed.) ATAL 1999. LNCS (LNAI), vol. 1757, Springer, Heidelberg (2000)
McCarthy, J., Hayes, P.J.: Some philosophical problems from the standpoint of artificial intelligence. In: Meltzer, B., Michie, D. (eds.) Machine Intelligence, 4. Edinburgh University Press (1969)
Moore, R.C.: A formal theory of knowledge and action. In: Allen, J.F., Hendler, J., Tate, A. (eds.) Readings in Planning, pp. 480–519. Morgan Kaufmann Publishers, San Mateo (1990)
Rao, A.S., Georgeff, M.: Decision procedures for BDI logics. Journal of Logic and Computation 8(3), 293–344 (1998)
Rao, A.S., Georgeff, M.P.: An abstract architecture for rational agents. In: Rich, C., Swartout, W., Nebel, B. (eds.) Proceedings of Knowledge Representation and Reasoning (KR&R 1992), pp. 439–449 (1992)
Rosenschein, S.J., Kaelbling, L.P.: A situated view of representation and control. In: Agre, P.E., Rosenschein, S.J. (eds.) Computational Theories of Interaction and Agency, pp. 515–540. The MIT Press, Cambridge (1996)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice-Hall, Englewood Cliffs (1995)
Scherl, R., Levesque, H.: The frame problem and knowledge-producing actions. In: Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI 1993), Washington, DC, pp. 689–695 (1993)
Wooldridge, M., Dixon, C., Fisher, M.: A tableau-based proof method for temporal logics of knowledge and belief. Journal of Applied Non-Classical Logics 8(3), 225–258 (1998)
Wooldridge, M., Jennings, N.R.: Intelligent agents: Theory and practice. The Knowledge Engineering Review 10(2), 115–152 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wooldridge, M., Lomuscio, A. (2000). Reasoning about Visibility, Perception, and Knowledge. In: Jennings, N.R., Lespérance, Y. (eds) Intelligent Agents VI. Agent Theories, Architectures, and Languages. ATAL 1999. Lecture Notes in Computer Science(), vol 1757. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10719619_1
Download citation
DOI: https://doi.org/10.1007/10719619_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67200-5
Online ISBN: 978-3-540-46467-9
eBook Packages: Springer Book Archive