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Action rules extracted by machine induction from feature-coded self reports

Letchford, A N and Clarke, D D (1998) Action rules extracted by machine induction from feature-coded self reports. Journal of Social Behaviour and Personality, 13. pp. 33-50. ISSN 0886-1641

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Abstract

A cross-validated study was performed to assess the ability of a "rule-finder" program to generate rules describing everyday behaviour. Sixty-four participants produced written reports about recent sequences of action in their everyday lives. These were input to the program as groups of numbers rperesenting certain features, such as the time of day, the other people involved, and the reason for the action. Ten rules emrged which could predict the type or features of an unknown action in a new sample of cases with significant accuracy. This way of describing behaviour has a number of advantages. The rules can also be converted fairly simply into a "production system" for use in further modelling work.

Item Type: Article
Journal or Publication Title: Journal of Social Behaviour and Personality
Subjects: H Social Sciences > HB Economic Theory
Departments: Lancaster University Management School > Management Science
ID Code: 43275
Deposited By: ep_importer_pure
Deposited On: 11 Jul 2011 18:56
Refereed?: Yes
Published?: Published
Last Modified: 09 Apr 2014 22:19
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/43275

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