The Use of Condition Types to Restrict Search in an AI Planner

The Use of Condition Types to Restrict Search in an AI Planner (1994)

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by Austin Tate , Brian Drabble , Jeff Dalton , South Bridge

Venue:	In Proceedings of the Twelth National Conference on Artificial Intelligence
Citations:	10 - 2 self

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Datum	Value	Source
TITLE	The Use of Condition Types to Restrict Search in an AI Planner	INFERENCE
AUTHOR NAME	Austin Tate	user correction - Legacy Corrections
AUTHOR AFFIL	Artificial Intelligence Applications Institute; University of Edinburgh	user correction - Legacy Corrections
AUTHOR NAME	Brian Drabble	user correction - Legacy Corrections
AUTHOR AFFIL	Artificial Intelligence Applications Institute; University of Edinburgh	user correction - Legacy Corrections
AUTHOR NAME	Jeff Dalton	user correction - Legacy Corrections
AUTHOR AFFIL	Artificial Intelligence Applications Institute; University of Edinburgh	user correction - Legacy Corrections
AUTHOR NAME	South Bridge	user correction - Legacy Corrections
AUTHOR AFFIL	; Introduction to Condition Typing	user correction - Legacy Corrections
AUTHOR ADDR	; Edinburgh EH1 1HN; United Kingdom	user correction - Legacy Corrections
ABSTRACT	Condition satisfaction in planning has received a great deal of experimental and formal attention. A "Truth Criterion" lies at the heart of many planners and is critical to their capabilities and performance. However, there has been little study of ways in which the search space of a planner incorporating such a Truth Criterion can be guided. The aim of this document is to give a description of the use of condition "type" information to inform the search of an AI planner and to guide the production of answers by a planner's truth criterion algorithm. The authors aim to promote discussion on the merits or otherwise of using such domain-dependent condition type restrictions as a means to communicate valuable information from the domain writer to a general purpose domain-independent planner 1 . Introduction to Condition Typing Research in AI planning has introduced a range of progressively more powerful techniques to address increasingly more realistic applications (Allen, Hendler & Ta...	user correction - Legacy Corrections
YEAR	1994	INFERENCE
VENUE	In Proceedings of the Twelth National Conference on Artificial Intelligence	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	1129--1134	INFERENCE
CITATIONS	14 found	ParsCit 1.0