Linear programming is an important method for computing solutions to private information problems. The method is applicable for arbitrary specifications of the references and technology. Unfortunately, as the cardinality of underlying sets increases the programs quickly become too large to...

This paper uses a set of post-extraction information trees to generally model diverse information and agent specific state price processes to define present and fundamental values. It shows that there can be no negative or finite bubbles and that, if agents are impatient and the aggregate...

Purpose – The paper seeks to outline an approach to a unified framework for understanding the concept of “information” in the physical, biological and human domains, and to see what links and interactions may be found between them. It also aims to re‐examine the information science...

We present a new information theoretic approach for network characterizations. It is developed to describe the general type of networks with n nodes and L directed and weighted links, i.e., it also works for the simpler undirected and unweighted networks. The new information theoretic measures...

We construct a metric measure among weight matrices that are commonly used in non-interacting statistical physics systems, computational biology problems, as well as in general applications such as hidden Markov models. The metric distance between two weight matrices is obtained via aligning the...

Two of the authors have recently discussed financial markets operated by quantum computers—quantum market games. These “new markets” cannot by themselves create opportunity of making extraordinary profits or multiplying goods, but they may cause the dynamism of transaction which would...

We present an experimental and simulated model of a multi-agent stock market driven by a double auction order matching mechanism. Studying the effect of cumulative information on the performance of traders, we find a non monotonic relationship of net returns of traders as a function of...