Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/9169
Title: A Conceptual Framework for Human Decision Making within Agent Based Models
Contributor(s): Miron, David John  (author)orcid 
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 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, p. 1-7
Publisher: New England Complex Systems Institute (NECSI)
Place of Publication: Online
Fields of Research (FoR) 2008: 019999 Mathematical Sciences not elsewhere classified
Socio-Economic Objective (SEO) 2008: 970117 Expanding Knowledge in Psychology and Cognitive Sciences
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://www.necsi.edu/wiki/index.php/ICCS07/197
http://necsi.edu/events/iccs7/papers/b1c3bdf19b26f06f00ca57ac9415.pdf
Appears in Collections:Conference Publication

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