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 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
In this talk we show how the evolutionary technique 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.
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