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...

In this paper, we borrow some of the key concepts of nonequilibrium statistical systems, to develop a framework for analyzing a self-organizing-optimizing system of independent interacting agents, with nonlinear dynamics at the macro level that is based on stochastic individual behavior at the...

The focus of this book is to develop a plausible basis for reasoning in situations involving incomplete-partial information and developing principles and procedures for learning or recovering information from a sample of economic data. The book starts with the specification and analysis of the...