Computational Science Technical Note CSTN-020

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Roles of Rule-Priority Evolution in Animat Models

K. A. Hawick, H. A. James and C.J.Scogings

Archived June 2005

Abstract

Evolutionary behaviour in ``animat'' or physical-agent models has been explored by several researchers, using a number of variations of the genetic algorithmic approach. Most have used a bio-inspired mutation/evolution of low-level behaviours or model properties and this leads to large and mostly ``uninteresting'' model phase-spaces or fitness landscapes. Instead we consider individual animats that evolve their priorities amongst short-lists of high-level behavioural rules rather than of lower-level individual instructions. This dramatically shrinks the combinatorial size of the fitness landscape and focuses on variations within the ``interesting'' regime. We describe a simple evolutionary survival experiment, which showed that some rule-priorities are drastically more successful than others. We report on the success of the rule-priority evolutionary approach for our predator-prey animat model and consider how it would apply to more general agent-based models.

Keywords: behaviour rules; priorities; evolution; animat models.

Full Document Text: PDF version.

Citation Information: BiBTeX database for CSTN Notes.

BiBTeX reference:

@INPROCEEDINGS{CSTN-020,
  author = {K. A. Hawick and H. A. James and C. J. Scogings},
  title = {Roles of Rule-Priority Evolution in Animat Models},
  booktitle = {Proc. Second Australian Conference on Artificial Life (ACAL 2005)},
  year = {2005},
  pages = {99-116},
  address = {Sydney, Australia},
  month = {5-8 December}
}


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