Hostname: page-component-6898cfcb55-th4rj Total loading time: 0 Render date: 2026-11-11T16:57:34.817Z Has data issue: false hasContentIssue false

Logic programming for finding models in the logics of knowledge and its applications: A case study

Published online by Cambridge University Press:  09 July 2010

C. BARAL
Affiliation:
Department of Computer Science, Arizona State University, AZ, USA
G. GELFOND
Affiliation:
Department of Computer Science, Arizona State University, AZ, USA
E. PONTELLI
Affiliation:
Department of Computer Science, New Mexico State University, NM, USA
T. SON
Affiliation:
Department of Computer Science, New Mexico State University, NM, USA
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

The logics of knowledge are modal logics that have been shown to be effective in representing and reasoning about knowledge in multi-agent domains. Relatively few computational frameworks for dealing with computation of models and useful transformations in logics of knowledge (e.g., to support multi-agent planning with knowledge actions and degrees of visibility) have been proposed. This paper explores the use of logic programming (LP) to encode interesting forms of logics of knowledge and compute Kripke models. The LP modeling is expanded with useful operators on Kripke structures, to support multi-agent planning in the presence of both world-altering and knowledge actions. This results in the first ever implementation of a planner for this type of complex multi-agent domains.

Information

Type
Regular Papers
Copyright
Copyright © Cambridge University Press 2010