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Moral Reasoner Data Set
Download: Data Folder, Data Set Description
Abstract: Horn-clause model that qualitatively simulates moral reasoning; Theory includes negated literals
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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: |
47602 |
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]
Citation Request:
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