Adaptive Neural Networks, Gene Networks, and Evolutionary Systems – Real and Artificial Evolving Intelligence

The paper presents an integrated approach to building evolving artificial intelligent systems in terms of evolving connectionist systems (ECOS) that capture principles from neural networks, gene interaction networks and evolutionary systems. The ECOS can be used to solve complex problems from computational biology that is illustrated on a simplified gene regulatory network modeling problem. The paper first presents some principles of real neural networks, gene regulatory networks and evolutionary systems before it presents ECOS and their applications.