Arrow Research search
Back to LPAR

LPAR 2005

Programming Cognitive Agents in Defeasible Logic

Conference Paper Accepted Paper Artificial Intelligence ยท Logic in Computer Science

Abstract

Abstract Defeasible Logic is extended to programming languages for cognitive agents with preferences and actions for planning. We define rule-based agent theories that contain preferences and actions, together with inference procedures. We discuss patterns of agent types in this setting. Finally, we illustrate the language by an example of an agent reasoning about web-services.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
International Conference on Logic for Programming, Artificial Intelligence and Reasoning
Archive span
1992-2024
Indexed papers
780
Paper id
444356990163846800
v2026.09.13