Search:
Computing and Library Services - delivering an inspiring information environment

Combining weak learning heuristics in general problem solvers

McCluskey, T.L. (1987) Combining weak learning heuristics in general problem solvers. In: 10th International Joint Conference on Artificial Intelligence, 1987, Milan, Italy.

[img]
Preview
PDF
068.pdf - Accepted Version

Download (96kB) | Preview

Abstract

This paper is concerned with state space problem
solvers that achieve generality by learning strong
heuristics through experience in a particular domain. We specifically consider two ways of learning by analysing past solutions that can improve future problem solving: creating macros and the chunks. A method of learning search heuristics is specified which is related to 'chunking' but which complements the use
of macros within a goal directed system. An example of the creation and combined use of macros and chunks, taken from an implemented system, is described.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Pedagogical Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:
Depositing User: Sharon Beastall
Date Deposited: 25 Jun 2010 07:46
Last Modified: 16 Dec 2010 13:58
URI: http://eprints.hud.ac.uk/id/eprint/7938

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©