A Conceptual Framework for Human Decision Making within Agent Based Models
نویسنده
چکیده
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, improving the outputs of these models will require a greater emphasis on the development of intelligence within the model agents. A deeper understanding of the cognitive process of human decision making is also needed. In this paper a conceptual framework for the cognitive process of human decision making is put forward. This conceptual framework is developed around the work of Lonergan and Polanyi. Further, the conceptual framework utilises the fuzzy logic of Zadeh for its implementation. The resulting conceptual framework can be embedded within agents that model human systems.
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