Self-organized Networks of Competing Boolean Agents

TL;DR

This paper introduces a model of Boolean agents in a competitive market, where local interactions and strategic mutations lead to a dynamic, self-organized network exhibiting intermittent behavior and shifts between different attractor states.

Contribution

It presents a novel Boolean agent model with local information exchange and mutation dynamics, demonstrating emergent complex network behavior and state switching.

Findings

Network evolves to a stationary, intermittent state

Random mutations can cause large-scale behavioral shifts

System exhibits multiple attractors with different lengths

Abstract

A model of Boolean agents competing in a market is presented where each agent bases his action on information obtained from a small group of other agents. The agents play a competitive game that rewards those in the minority. After a long time interval, the poorest player's strategy is changed randomly, and the process is repeated. Eventually the network evolves to a stationary but intermittent state where random mutation of the worst strategy can change the behavior of the entire network, often causing a switch in the dynamics between attractors of vastly different lengths.