Letchford, A N and Clarke, D D (1998) Action rules extracted by machine induction from feature-coded self reports. Journal of Social Behavior and Personality, 13. pp. 33-50. ISSN 0886-1641Full text not available from this repository.
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.
|Journal or Publication Title:||Journal of Social Behavior and Personality|
|Subjects:||H Social Sciences > HB Economic Theory|
|Departments:||Lancaster University Management School > Management Science|
|Deposited On:||11 Jul 2011 18:56|
|Last Modified:||07 Jan 2015 16:21|
Actions (login required)