Intelligent Agent Generation with the DNA-MAS Genetic Programming System

S.J. Kollmansberger and S.L. Mabry (USA)


Genetic programming, Agents, Distributed Artificial Intelligence


This paper describes the DNA-MAS genetic programming system as introduced in [1]. Particular emphasis is given to organization, mutation, crossover and concrete results obtained using the system. The system is designed for application-generic multi-agent simulation and generation using an advanced symbolic language built specifically for use in a random mutation and crossover environment. The system is fully distributed, demonstrating strong performance across multiple processors.

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