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Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task

Philip Husbands, Andrew Philippides, Patrícia A. Vargas, Christopher L. Buckley, Peter Fine, Ezequiel A. Di Paolo, Michael O’Shea

Year
2010
Citations
24

Abstract

Abstract Spatial, temporal, and modulatory factors affecting the evolvability of GasNets — a style of artificial neural network incorporating an analogue of volume signalling — are investigated. The focus of the article is a comparative study of variants of the GasNet, implementing various spatial, temporal, and modulatory constraints, used as control systems in an evolutionary robotics task involving visual discrimination. The results of the study are discussed in the context of related research. © 2010Wiley Periodicals, Inc. Complexity 16: 35–44, 2010

Keywords

EvolvabilityArtificial intelligenceContext (archaeology)Task (project management)Computer scienceRoboticsFocus (optics)RobotBiology

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