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

Management Science

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Action rules extracted by machine induction from feature-coded self reports. / Letchford, A N; Clarke, D D.
In: Journal of Social Behavior and Personality, Vol. 13, 1998, p. 33-50.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Letchford, AN & Clarke, DD 1998, 'Action rules extracted by machine induction from feature-coded self reports', Journal of Social Behavior and Personality, vol. 13, pp. 33-50.

APA

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

Vancouver

Letchford AN, Clarke DD. Action rules extracted by machine induction from feature-coded self reports. Journal of Social Behavior and Personality. 1998;13:33-50.

Author

Letchford, A N ; Clarke, D D. / Action rules extracted by machine induction from feature-coded self reports. In: Journal of Social Behavior and Personality. 1998 ; Vol. 13. pp. 33-50.

Bibtex

@article{eaae114614ad409989c330397e2b1668,

title = "Action rules extracted by machine induction from feature-coded self reports",

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.",

author = "Letchford, {A N} and Clarke, {D D}",

year = "1998",

language = "English",

volume = "13",

pages = "33--50",

journal = "Journal of Social Behavior and Personality",

issn = "0886-1641",

publisher = "University of Hartford",

}

RIS

TY - JOUR

T1 - Action rules extracted by machine induction from feature-coded self reports

AU - Letchford, A N

AU - Clarke, D D

PY - 1998

Y1 - 1998

N2 - 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.

AB - 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.

M3 - Journal article

VL - 13

SP - 33

EP - 50

JO - Journal of Social Behavior and Personality

JF - Journal of Social Behavior and Personality

SN - 0886-1641

ER -

Research