- author = "Thomas D. Haynes",
- title = "A Simulation of Adaptive Agents in a Hostile Environment",
- school = "University of Tulsa",
- year = "1994",
- address = "Tulsa, OK, USA",
- month = apr,
- keywords = "genetic algorithms, genetic programming",
- broken = "http://euler.mcs.utulsa.edu/~haynes/masters.ps",
-
URL = "
http://citeseer.ist.psu.edu/2240.html",
- size = "254 pages",
- abstract = "The Genetic Programming Algorithm is used to construct an Autonomous Agent capable of learning how to survive a hostile environment. Randomly generated programs, which control the interaction of the Agent with its environment, are recombined to form better programs. Each generation of the population of Agents is placed into the Simulator with the ultimate goal of producing an Agent capable of surviving any environment. The Simulator determines the raw fitness of each Agent by interpreting the associated program. General programs are evolved to solve this problem. Different environmental setups are presented to show the generality of the solution. Certain constructs always appear to facilitate the solution of subproblems of the task. This is evidenced in similar responses of the Average Fitness per Generation curves for the different runs.",
-
notes = "
",
