- author = "A. Qureshi",
- title = "Evolving Agents",
- institution = "UCL",
- year = "1996",
- type = "Research Note",
- number = "RN/96/4",
- address = "Gower Street, London, WC1E 6BT, UK",
- month = jan,
- keywords = "genetic algorithms, genetic programming, Agent Based Computing, Distributed AI, Automatic Code Generation, Automatic Programming, Machine Learning, Artificial Evolution, Communication, Automatically Defined Functions (ADF)",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/AQ.gp96.ps.gz",
-
abstract = "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
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 simulataneously define when and what to communicate, and how to use the communicated information to solve the given problem.",
- notes = "Submitted to GP96",
- size = "10 pages",
