We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK


97% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Action rules extracted by machine induction fro...
View graph of relations

« Back

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

Research output: Contribution to journalJournal article


<mark>Journal publication date</mark>1998
<mark>Journal</mark>Journal of Social Behavior and Personality
Number of pages18
<mark>Original language</mark>English


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.