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Updated: Aug 7, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Self-organized networks of competing boolean agents
1Niels Bohr Institute, Blegdamsvej 17, 2100 Copenhagen, Denmark and NORDITA, Blegdamsvej 17, 2100 Copenhagen, Denmark and Department of Physics, University of Houston, Houston, Texas 77204-5506, USA.
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.
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