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 |
| _version_ | 1818013967703867392 |
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| author | George Judge |
| author_facet | George Judge |
| author_sort | George Judge |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T06:40:46Z |
| format | Article |
| id | doaj.art-08687c4036f4454aab849abdc65bd744 |
| institution | Directory Open Access Journal |
| issn | 2225-1146 |
| language | English |
| last_indexed | 2024-04-14T06:40:46Z |
| publishDate | 2015-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Econometrics |
| spelling | doaj.art-08687c4036f4454aab849abdc65bd7442022-12-22T02:07:21ZengMDPI AGEconometrics2225-11462015-02-01319110010.3390/econometrics3010091econometrics3010091Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral SystemsGeorge Judge0Graduate School, 207 Giannini Hall, University of California Berkeley, Berkeley, CA 94720, USAAs 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.http://www.mdpi.com/2225-1146/3/1/91information-theoretic methodsadaptive behaviorcausal entropy maximizationpure and stochastic inverse problemsbinary networkdynamic economic systems |
| spellingShingle | George Judge Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems Econometrics information-theoretic methods adaptive behavior causal entropy maximization pure and stochastic inverse problems binary network dynamic economic systems |
| title | Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems |
| title_full | Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems |
| title_fullStr | Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems |
| title_full_unstemmed | Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems |
| title_short | Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems |
| title_sort | entropy maximization as a basis for information recovery in dynamic economic behavioral systems |
| topic | information-theoretic methods adaptive behavior causal entropy maximization pure and stochastic inverse problems binary network dynamic economic systems |
| url | http://www.mdpi.com/2225-1146/3/1/91 |
| work_keys_str_mv | AT georgejudge entropymaximizationasabasisforinformationrecoveryindynamiceconomicbehavioralsystems |