Adaptive Intelligent Behavior and Causal Entropy Maximization as a Basis for Microeconomic Information Recovery

摘要: In this paper we emphasize the connection between adaptive intelligent behavior, causal entropy maximization and self-organized equilibrium seeking behavior in an open dynamic micro economic systems. This based framework permits use of information theoretic methods, as a solution basis for resulting pure stochastic ill posed inverse economic- econometric problems. We cast recovery problem form binary network suggest methods to recover estimates unknown behavioral parameters without explicitly sampling configuration space.