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Moral Judgment, Human Motivation, and Neural Networks

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Abstract

The topic of moral judgment is of interest to many fields. Studying moral judgment based on currently available computational intelligence methods and techniques may shed new light on the matter. This article reviews computational models of moral judgment on the basis of the CLARION cognitive architecture, emphasizing a motivation-based approach. It attempts to integrate the understanding of moral judgment with other areas of cognition. In particular, it shows how a model of human motivation can play an important role in understanding human moral judgment, which opens the door for new possibilities in developing theories of moral judgment.

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Acknowledgments

The work overviewed here has been supported in part by the ONR grant N00014-08-1-0068. Thanks are due to Paul Bello for his ideas and his support and to various students and collaborators, past or present. The CLARION software, along with simulation examples, may be found at: www.clarioncognitivearchitecture.com (courtesy of Nick Wilson and Mike Lynch).

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  1. Cognitive Science Department, Rensselaer Polytechnic Institute, 110 Eighth Street, Carnegie 302A, Troy, NY, 12180, USA

    Ron Sun

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Correspondence to Ron Sun.

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Sun, R. Moral Judgment, Human Motivation, and Neural Networks. Cogn Comput 5, 566–579 (2013). https://doi.org/10.1007/s12559-012-9181-0

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  • DOI: https://doi.org/10.1007/s12559-012-9181-0

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