An Architecture for Rational Agents

Lloyd, John W.; Sears, Tim D.

doi:10.4230/DagSemProc.05051.3

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An Architecture for Rational Agents

Authors John W. Lloyd, Tim D. Sears

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 5051
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2006-01-19

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DagSemProc.05051.3.pdf

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Document Identifiers

DOI: 10.4230/DagSemProc.05051.3
URN: urn:nbn:de:0030-drops-4192

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Keywords

Rational agent
agent architecture
belief base
Bayesian networks

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Abstract

This paper is concerned with designing architectures for rational agents.
In the proposed architecture, agents have belief bases that are theories 
in a multi-modal, higher-order logic.
Belief bases can be modified by a belief acquisition algorithm
that includes both symbolic, on-line learning and conventional knowledge base 
update as special cases.
A method of partitioning the state space of the agent in two different ways
leads to a Bayesian network and associated influence diagram for selecting actions.
The resulting agent architecture exhibits a tight integration between logic, 
probability, and learning. 
This approach to agent architecture is illustrated by a user agent
that is able to personalise its behaviour according to the user's
interests and preferences.

Cite As Get BibTex

John W. Lloyd and Tim D. Sears. An Architecture for Rational Agents. In Probabilistic, Logical and Relational Learning - Towards a Synthesis. Dagstuhl Seminar Proceedings, Volume 5051, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006) https://doi.org/10.4230/DagSemProc.05051.3

Author Details

John W. Lloyd

Tim D. Sears

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