Learning to Discriminate Between Multiple Possible Environments: an Imprinting Scenario

Izquierdo-Torres, Eduardo and Harvey, Inman (2005) Learning to Discriminate Between Multiple Possible Environments: an Imprinting Scenario. In: Workshop on Memory and Learning Mechanisms in Autonomous Robotics as part of the 8th European Conference on Artificial Life (ECAL 2005)., September 5-9, 2005., Canterbury, UK..

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Abstract

This paper presents work extending the evolution of learning
using dynamical neural networks. Previous experiments in this domainhave been limited to evolving agents to discriminate between a maximumof 2 different environmental situations. In this paper we extend beyond this for the first time. We use discrimination between as many as 5 different tones in a scenario designed to reflect the basics of parentalimprinting in, for example, birds.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Eduardo Jose Izquierdo-Torres
Date Deposited: 06 Feb 2012 19:11
Last Modified: 12 Apr 2012 13:46
URI: http://srodev.sussex.ac.uk/id/eprint/19517
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