A reactively learning neural network that decides behaviours for an artificial life system with homogeneous agents

Samuel Slade

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Creating a system that can accurately reflect life like decision making for survival purposes is no small task. To do so we must look to explain the behavioral patterns of life, which is a topic that is huge in scope and inordinately complex. Some help to approach this problem can be found in evolutionary mechanisms, previous works on artificial life and behavioral psychology. From here we can begin to form an idea of how biological organisms perpetuate their existence and how one might go about re-creating elements of these mechanisms artificially. This paper describes a system created to explore this idea.
Original languageEnglish
Title of host publication2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Place of PublicationPiscataway
PublisherIEEE
Pages331-335
ISBN (Print)978-1-5090-4094-0
DOIs
Publication statusPublished - Aug 2016

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