The Evolution of Reaction-Diffusion Controllers for Minimally Cognitive Agents
- 1 January 2010
- journal article
- Published by MIT Press in Artificial Life
- Vol. 16 (1) , 1-19
- https://doi.org/10.1162/artl.2009.16.1.16100
Abstract
This article describes work carried out to investigate whether a classic reaction-diffusion (RD) system could be used to control a minimally cognitive animat. The RD system chosen was that first described by Gray and Scott, and the minimally cognitive behaviors were those used by Beer et al. involving the fixation and discrimination of diamond and circle shapes by a whiskered animat. A further task was added, which required the RD controllers to maintain and use a chemical memory. The parameters of these controllers were evolved using an evolutionary, or genetic, algorithm.Keywords
This publication has 32 references indexed in Scilit:
- On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization ProgramAdaptive Behavior, 2006
- Reaction-Diffusion Navigation Robot Control: From Chemical to VLSI Analogic ProcessorsIEEE Transactions on Circuits and Systems I: Regular Papers, 2004
- The Dynamics of Active Categorical Perception in an Evolved Model AgentAdaptive Behavior, 2003
- Experimental Reaction–Diffusion Chemical Processors for Robot Path PlanningJournal of Intelligent & Robotic Systems, 2003
- Reaction–diffusion path planning in a hybrid chemical and cellular-automaton processorChaos, Solitons, and Fractals, 2002
- Cellular Nonlinear Network-Based Bio-Inspired Decentralized Control of Locomotion for Hexapod RobotsAdaptive Behavior, 2002
- Evolving Reaction-Diffusion Ecosystems with Self-Assembling Structures in Thin FilmsArtificial Life, 1998
- Biologically inspired approaches to roboticsCommunications of the ACM, 1997
- Chemical Signaling in the BrainScientific American, 1993
- Cellular neural networks: applicationsIEEE Transactions on Circuits and Systems, 1988