Expectation

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Expectation: the logic of flexible motivation

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International Conference on Autonomous Agents archive
Proceedings of the second international joint conference on Autonomous agents and multiagent systems table of contents

Melbourne, Australia

POSTER SESSION: Posters table of contents

Pages: 1140 - 1141

Year of Publication: 2003

ISBN:1-58113-683-8

Authors

Bình Vu Trân	RMIT University, Australia
James Harland	RMIT University, Australia
Margaret Hamilton	RMIT University, Australia

Sponsors

SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

The notion of goals, which tend to have strong properties (e.g. goals should be consistent, feasible, not yet achieved, etc.) has received more attention than other motivational notions such as desires. Desires seem more applicable in a multi-agent setting since an agent may cooperate with other agents without an explicitly agreed goal, but cannot act purely independently. However, the connection between desires and real world actions is not formally described. In this work, we introduce the notion of expectation in order to address these problems. A formalism is developed to describe the association of expectations and observations as well as how expectations could drive future observations.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	C. Areces, P. Blackburn, and M. Marx. Hybrid logics: Characterization, interpolation and complexity. Journal of Symbolic Logic, 66(3):977--1010, 2001.
	2	Frank Dignum , David Kinny , Liz Sonenberg, Motivational Attitudes of Agents: On Desires, Obligations, and Norms, Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems, p.83-92, September 26-29, 2001
	3	Ronald Fagin , Joseph Y. Halpern , Moshe Y. Vardi , Yoram Moses, Reasoning about knowledge, MIT Press, Cambridge, MA, 1995
	4	A. Rao and M. Georgeff. Modelling rational agents within a BDI-architecture. In Proceedings of the Second International Conference on Principles of Knowledge Representation and Reasoning, pages 473--484, Cambridge (USA), 1991.