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

Slade, Samuel (2016) A reactively learning neural network that decides behaviours for an artificial life system with homogeneous agents. In: 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, Piscataway, pp. 331-335. ISBN 978-1-5090-4094-0

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Official URL: http://dx.doi.org/10.1109/FSKD.2016.7603196

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.

Item Type: Book Section
Subjects: G400 Computer Science
G700 Artificial Intelligence
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Becky Skoyles
Date Deposited: 09 Dec 2016 13:47
Last Modified: 31 Jan 2017 11:38
URI: http://nrl.northumbria.ac.uk/id/eprint/28843

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