Evolving Neural Network which Control a Robotic Agent

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F07%3A00088666" target="_blank" >RIV/67985807:_____/07:00088666 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Evolving Neural Network which Control a Robotic Agent

Original language description

Intelligent embodied agents should be able to adopt to changes of the environment and to modify their behavior according to acquired knowledge. The goal of this work is the study of emergence of intelligent behavior within a simple intelligent agent. Cognitive agent functions will be realized by mechanisms based on neural networks of the perceptron type. The adaptation mechanism is realized by the evolutionary algorithms which is responsible for setting the weights of a neural network in a simulated environment. Several tasks including obstacle avoidance and efficient maze exploration are presented in the experimental section. The behaviors developed during the adaptation process compare favorably with hard coded strategies.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/GA201%2F05%2F0557" target="_blank" >GA201/05/0557: Approximation and learning of multivariable functions by neural networks and kernel methods</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2007

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Evolutionary Computation

ISBN

978-1-4244-1339-3

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

IEEE

Place of publication

Los Alamitos

Event location

Singapore

Event date

Sep 25, 2007

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000256053701014