Abstract
In this paper we describe a framework for overcoming agent ignorance within a setting for collaborative problem solving. As a result of privacy concerns, agents may not reveal information that could be of use in problem solving. In this case, under certain assumptions agents can still reason about this information in terms of the possibilities that are consistent with what they know. This is done using constraint-based reasoning in a framework consisting of an ordinary CSP, which is only partly known, and a system of “shadow CSPs” that represent various forms of possibilistic knowledge. This paper proposes some properties of good structure for this system and shows that a reasonable set of deductions used during the solving process preserves these properties. Extensions to the basic framework and relations to other work are also discussed.
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
S. Bistarelli, H. Fargier, U. Montanari, F. Rossi, T. Schiex, and G. Verfaillie. Semiringbased csps and valued csps: Basic properties and comparison. In M. Jampel, E. Freuder, and M. Maher, editors, Over-Constrained Systems, volume 1106, pages 111–150. Springer, Berlin, 1996.
L. Garrido and K. Sycara. Multi-agent meeting scheduling: Preliminary experimental results. In Proc., Second International Conference on Multi-Agent Systems, ICMAS-96, Menlo Park, CA, 1996. AAAI Press.
G. E. Hughes and M. J. Cresswell. An Introduction to Modal Logic. Routledge, London and NewYork, 1968.
A. S. Rao and M. P. Georgeff. Modeling rational agents with a bdi-architecture. In Proc. Second International Conference on Principles of Knowledge Representation and Reasoning, KR’91, pages 473–484, San Mateo, CA, 1991. Morgan Kaufmann.
S. Sen, T. Haynes, and N. Arora. Satisfying user preferences while negotiating meetings. Internat. J. Human-Computer Stud., 47:407–427, 1997.
R. J. Wallace, E. C. Freuder, and M. Minca. Consistency reasoning and privacy/efficiency relations in multi-agent systems. In submitted for publication, 2002.
M. Yokoo. Distributed Constraint Satisfaction. Foundations of Cooperation in Multi-agent Systems. Springer, Berlin, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wallace, R.J. (2002). Representing Possibilities in Relation to Constraints and Agents. In: Flesca, S., Greco, S., Ianni, G., Leone, N. (eds) Logics in Artificial Intelligence. JELIA 2002. Lecture Notes in Computer Science(), vol 2424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45757-7_34
Download citation
DOI: https://doi.org/10.1007/3-540-45757-7_34
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44190-8
Online ISBN: 978-3-540-45757-2
eBook Packages: Springer Book Archive