The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents

Nick Lacey, Mark Lee

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The purpose of this research is to show the relevance of philosophical theories to agent knowledge base (AKB) design, implementation, and behaviour. We will describe how artificial agent designers face important problems that philosophers have been working on for centuries. We will then show that it is possible to design different agents to be explicitly based on different philosophical approaches, and that doing so increases the range of agent behaviour exhibited by the system. We therefore argue that alternative, sometimes counter-intuitive, conceptions of the relationship between an agent and its environment may offer a useful starting point when considering the design of an agent knowledge base.
Original languageEnglish
Title of host publicationAdaptive Agents and Multi-Agent Systems
Subtitle of host publicationAdaptation and Multi-Agent Learning
EditorsEduardo Alonso, Daniel Kudenko, Dimitar Kazakov
PublisherSpringer Nature
Pages216-238
ISBN (Electronic)978-3-540-44826-6
ISBN (Print)978-3-540-40068-4
DOIs
Publication statusPublished - 2003

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