Schuster, Stephan (2009): An Algorithm for the Simulation of Bounded Rational Agents.
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Abstract
Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rationality' criticise the assumptions of the standard economic model - hyperrationality, perfect and costless information, and unlimited mental processing capabilities. However, alternative approaches have either remained very simple or purely descriptive. Here, a computational approach is presented based on Simon's concept of bounded rationality and satisficing as a compromise between the oversimplification of analytical and the descriptiveness of rich cognitive models.
Item Type: | MPRA Paper |
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Original Title: | An Algorithm for the Simulation of Bounded Rational Agents |
Language: | English |
Keywords: | agent based modelling, bounded rationality, reinforcement learning, rule extraction |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness |
Item ID: | 15942 |
Depositing User: | Stephan Schuster |
Date Deposited: | 30 Jun 2009 00:17 |
Last Modified: | 02 Oct 2019 02:17 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/15942 |
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