NEWWATCH: Learning Interrupted Strategies by Observing Actions

Citation: Andrew Gans and Barbara Hayes-Roth. (1990) NEWWATCH: Learning Interrupted Strategies by Observing Actions. In KSL-89-44, March,1990.

Publication techreport ( Edit )
type	Technical Report
bibtype	techreport
Bibtex basics
author	Andrew Gans and Barbara Hayes-Roth
title	NEWWATCH: Learning Interrupted Strategies by Observing Actions
number	KSL-89-44
institution	Knowledge Systems, AI Laboratory
address	Stanford, CA, USA
year	1990
month	March
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abstract	An expect can normally demonstrate a strategy by solving individual problems. However, it is more difficult to articulate the set of general rules used to select actions. The WATCH project was designed to "watch over the shoulder" of an expect, to automatically learn strategic knowledge by observing the sequence of actions that were performed. The original WATCH program was limited by the assumption that the entire sequence of problem-solving actions could be induced into a single hierarchical strategy tree. Any interruptions in this single strategy, whether a simple opportunistic sequence or a second parallel strategy, were simply treated as noise that confused the system. The NEWWATCH extension has been implemented to recognize various kinds of interruptions, thereby greatly increasing the range of strategies that the WATCH system can learn.

KSL Technical Report ID: KSL-89-44

Abstract	An expect can normally demonstrate a strat … An expect can normally demonstrate a strategy by solving individual problems. However, it is more difficult to articulate the set of general rules used to select actions. The WATCH project was designed to "watch over the shoulder" of an expect, to automatically learn strategic knowledge by observing the sequence of actions that were performed. The original WATCH program was limited by the assumption that the entire sequence of problem-solving actions could be induced into a single hierarchical strategy tree. Any interruptions in this single strategy, whether a simple opportunistic sequence or a second parallel strategy, were simply treated as noise that confused the system. The NEWWATCH extension has been implemented to recognize various kinds of interruptions, thereby greatly increasing the range of strategies that the WATCH system can learn. trategies that the WATCH system can learn.
Address	Stanford, CA, USA +
Author	Andrew Gans and Barbara Hayes-Roth +
Bibtype	techreport +
Has author	Andrew Gans and Barbara Hayes-Roth +
Has identifier	KSL-89-44 +
Has publishing details	March,1990 +
Has title	NEWWATCH: Learning Interrupted Strategies by Observing Actions +
Has where published	KSL-89-44 +
Has year	1990 +
Institution	Knowledge Systems, AI Laboratory +
Ksl tr id	KSL-89-44 +
Month	March +
Number	KSL-89-44 +
Process note	NO +
Title	NEWWATCH: Learning Interrupted Strategies by Observing Actions +
Year	1990 +