Macro and micro environment for diversity of behaviour in artificial life simulation

Eugene Ch'Ng

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The complexity of artificial life is produced not only via their genotype, but also by the environment that they thrive in. Past artificial life research focuses on the evolutionary behavior of artificial organisms from an intrinsic perspective of how concepts such as crossover and mutation increase the fitness of the organism, others focus on the emergent macrostate of a simulation that arises out of the local interaction of entities. This research aims to introduce an additional 'affector' into artificial life simulations, namely, an enhanced environment where an added dimension of complex behaviour can be produced through the use of environment emitters.

Original languageEnglish
Title of host publication6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages883-889
Number of pages7
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
Duration: 20 Nov 201224 Nov 2012

Publication series

Name6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

Conference

Conference2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
Country/TerritoryJapan
CityKobe
Period20/11/1224/11/12

Keywords

  • enhanced simulation environment
  • environment emitters
  • explicit condition
  • macrostate
  • microstate
  • model resolution

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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