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|Title:||A Conceptual Framework for Human Decision Making within Agent Based Models||Contributor(s):||Miron, David John (author)||Publication Date:||2007||Handle Link:||https://hdl.handle.net/1959.11/9169||Abstract:||Agent based models of human systems, such as those found in behavioural economics, implement their agents intelligence through the use of simple rules. These models have proved to be worthwhile research tools. However, to improve the outputs of these models will require a greater emphasis on the development of intelligence within the model agents. To achieve a deeper understanding of the cognitive process of human decision making is needed. In this talk a conceptual model of the cognitive process of human decision making is put forward. This conceptual model is developed around the work of Lonergan and Polanyi. Further, the conceptual model utilises the fuzzy logic of Zadeh for its implementation. The resulting conceptual model can be embedded within agent's that model human systems.||Publication Type:||Conference Publication||Conference Name:||ICCS 2007: 7th International Conference on Complex Systems, Boston, United States of America, 28th October - 2nd November, 2007||Conference Details:||ICCS 2007: 7th International Conference on Complex Systems, Boston, United States of America, 28th October - 2nd November, 2007||Source of Publication:||International Conference on Complex Systems Papers||Publisher:||New England Complex Systems Institute (NECSI)||Place of Publication:||Online||Field of Research (FOR):||019999 Mathematical Sciences not elsewhere classified||Socio-Economic Outcome Codes:||970117 Expanding Knowledge in Psychology and Cognitive Sciences||Peer Reviewed:||Yes||HERDC Category Description:||E1 Refereed Scholarly Conference Publication||Other Links:||http://www.necsi.edu/wiki/index.php/ICCS07/197
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