Learning as abductive deliberations

Learning as abductive deliberations

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...

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Bibliographic Details
Main Authors: SUBAGDJA, Budhitama, Rahwan I., Sonenberg L.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2006
Subjects:
Plan Body
Belief State
Composite Action
Learn Plan
Deliberation Process
Artificial Intelligence and Robotics
Online Access:https://ink.library.smu.edu.sg/sis_research/6921
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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