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ECAL
2003
Springer

First Steps in Evolving Path Integration in Simulation

13 years 8 months ago
First Steps in Evolving Path Integration in Simulation
Abstract. Path integration is a widely used method of navigation in nature whereby an animal continuously tracks its location by integrating its motion over the course of a journey. Many mathematical models of this process exist, as do at least two hand designed neural network models. Two one dimensional distance measuring tasks are here presented as a simplified analogy of path integration and as a first step towards producing a neuron-based model of full path integration constructed entirely by artificial evolution. Simulated agents are evolved capable of measuring the distance they have travelled along a one dimensional space. The resulting neural mechanisms are analysed and discussed, along with the prospects of producing a full model using the same methodology.
Robert Vickerstaff
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where ECAL
Authors Robert Vickerstaff
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