Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems
As a basis for information recovery in open dynamic microeconomic systems, we emphasize the connection between adaptive intelligent behavior, causal entropy maximization and self-organized equilibrium seeking behavior. This entropy-based causal adaptive behavior framework permits the use of informat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-02-01
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| Series: | Econometrics |
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| Online Access: | http://www.mdpi.com/2225-1146/3/1/91 |
| Summary: | As a basis for information recovery in open dynamic microeconomic systems, we emphasize the connection between adaptive intelligent behavior, causal entropy maximization and self-organized equilibrium seeking behavior. This entropy-based causal adaptive behavior framework permits the use of information-theoretic methods as a solution basis for the resulting pure and stochastic inverse economic-econometric problems. We cast the information recovery problem in the form of a binary network and suggest information-theoretic methods to recover estimates of the unknown binary behavioral parameters without explicitly sampling the configuration-arrangement of the sample space. |
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| ISSN: | 2225-1146 |