Entropy maximization as a basis for information recovery in dynamic economic behavioral systems

Artikel

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 3 ; Year: 2015 ; Issue: 1 ; Pages: 91-100 ; Basel: MDPI

Classification and Topics

• Classification: Wirtschaft ; Econometric and Statistical Methods and Methodology: General ; Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models ; Econometric and Statistical Methods: Special Topics: General
• Subject: information-theoretic methods ; adaptive behavior ; causal entropy maximization ; pure and stochastic inverse problems ; binary network ; dynamic economic systems

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Judge, George
• Event: Veröffentlichung
• (who): MDPI
• (where): Basel
• (when): 2015

Further information

• DOI: doi:10.3390/econometrics3010091
• Handle: http://hdl.handle.net/10419/171818
• Last update: 10.03.2025, 11:44 AM CET