- author = "Mohammad Adil Qureshi",
- title = "The Evolution of Agents",
- school = "University College, London",
- year = "2001",
- address = "UK",
- month = jul,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/maq-thesis-14072k1.ps.gz",
-
URL = "
https://discovery.ucl.ac.uk/id/eprint/10099452/",
- size = "139 pages",
-
abstract = "Genetic Programming (GP) is a technique that can be
used to automatically program computers to perform some
required task. The technique is a kind of genetic
algorithm in which the representation is a program tree
instead of a bit-string and the fitness of each tree is
evaluated by executing the computer program that it
represents. The subject of this thesis is to
investigate the use of GP to automatically program
multiagent systems. To achieve this goal, we consider
the general problems in creating multiagent systems,
and show how GP can be used to provide solutions to
many of them. Our key contributions are as follows:
We show that it is possible to evolve multiagent systems using GP that:
exhibit coordinated, coherent behaviour
communicate explicitly, and in doing so decide what to communicate and how
can resolve conflicts
can be integrated into an existing society of agents
We also consider the technical scalability issues involved in the use of GP, both generally and in particular as a technique for automatically programming agents and propose some solutions to these problems.",
- notes = "ProQuest U642258",
