Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
A simulation of adaptive agents in a hostile environment
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Strongly Typed Genetic Programming in Evolving Cooperation Strategies
Proceedings of the 6th International Conference on Genetic Algorithms
IWSOS '08 Proceedings of the 3rd International Workshop on Self-Organizing Systems
Evolutionary synthesis of multi-agent systems for dynamic dial-a-ride problems
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
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The paradigm of agent based computing is becoming increasingly popular both in distributed artificial intelligence and as a general software engineering technique. The difficulty with agent based computing is that success depends not just on the correctness of any one agent, but on the emergent behaviour arising from the interaction of a society of agents. As a consequence, the problem of programming agents is non trivial and poorly understood. In this paper we show that genetic programming can be used to automatically program agents which communicate and interact to solve problems. The programs evolved simultaneously define when and what to communicate, and how to use the communicated information to solve the given problem.