Learning as abductive deliberations

Publication Type

Book

Publication Date

1-2006

Abstract

This paper explains an architecture for a BDI agent that can learn based on its own experience. The learning is conducted through explicit procedural knowledge or plans in a goal-directed manner. The learning is described by encoding abductions within the deliberation processes. With this model, the agent is capable of modifying its own plans on the run. We demonstrate that by abducing some complex structures of plan, the agent can also acquire complex structures of knowledge about its interaction with the environment.

Keywords

Plan Body, Belief State, Composite Action, Learn Plan, Deliberation Process

Discipline

Artificial Intelligence and Robotics

First Page

11

Last Page

20

ISBN

9783540366676

Identifier

10.1007/11801603_4

Publisher

Springer Verlag

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