An Agent Model Using Polychronous Networks

Julio Monteiro; Philippe Caillou; Marco Netto

Conference Papers Year : 2009

An Agent Model Using Polychronous Networks

, (1, 2) , (3)

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2
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Julio Monteiro

Function : Author

Philippe Caillou

Function : Author
PersonId : 5485
IdHAL : pcaillou
ORCID : 0000-0002-7811-7597
IdRef : 087112108

Machine Learning and Optimisation

Laboratoire de Recherche en Informatique

Marco Netto

Function : Author

Department of Computer Science

Abstract

In this paper, we present an agent model based on computation with polychronous groups on spiked neural networks, that is able to learn to return to known initial situations, without any guidance

Keywords

Spiking network Stdp Autonomous agent

Domains

Multiagent Systems [cs.MA] Neural and Evolutionary Computing [cs.NE]

Philippe Caillou : Connect in order to contact the contributor

https://inria.hal.science/inria-00393065

Submitted on : Tuesday, June 9, 2009-2:18:10 PM

Last modification on : Monday, February 12, 2024-9:48:04 AM

Dates and versions

inria-00393065 , version 1 (09-06-2009)

Identifiers

HAL Id : inria-00393065 , version 1

Cite

Julio Monteiro, Philippe Caillou, Marco Netto. An Agent Model Using Polychronous Networks. Colibri, Jul 2009, Bento Gonçalves, Brazil. pp.76-80. ⟨inria-00393065⟩

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An Agent Model Using Polychronous Networks

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