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Moral Reasoner Data Set
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Abstract: Horn-clause model that qualitatively simulates moral reasoning; Theory includes negated literals

Data Set Characteristics:  

Domain-Theory

Number of Instances:

202

Area:

Computer

Attribute Characteristics:

N/A

Number of Attributes:

N/A

Date Donated

1994-06-01

Associated Tasks:

N/A

Missing Values?

N/A

Number of Web Hits:

23045


Source:

Creators:

T.R. Shultz & J.M. Daley

Donor:

James L. Wogulis
University of California, Irvine
Irvine, CA USA


Data Set Information:

This is a rule-based model that qualitatively simulates moral reasoning. The model was intended to simulate how an ordinary person, down to about age five, reasons about harm-doing.

The horn-clause theory and the 202 instances are the same as were used in (Wogulis, 1994). The top-level predicate to predict is guilty/1. For more information, e.g. on the generation of instances, see (Wogulis, 1994).


Attribute Information:

N/A


Relevant Papers:

Darley, J.M. & Shultz, T.R. (1990). Moral rules: Their content and acquisition. Annual Review of Psychology, 41, 525-556.

Shultz, T.R. (1990). A rule base model of judging harm-doing. In Proceedings of the Twelfth Annual Conference of the Cognitive Science Society, (pp. 229-236).,Cambridge, MA. Lawrence Erlbaum.
[Web Link]

Wogulis, J.L. (1994). An Approach to Repairing and Evaluating First-Order Theories Containing Multiple Concepts and Negation. Doctoral Dissertation. University of California, Irvine.
[Web Link]



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