aller au contenu
Fermer la fenêtre

Veuillez vous identifier dans WorldCat 

Vous n’avez pas de compte? Vous pouvez facilement créer un compte gratuit.

Annuler Mot de passe oublié?
Bio-inspired artificial intelligence : theories, methods, and technologies
FermerAperçu de cet ouvrage

Bio-inspired artificial intelligence : theories, methods, and technologies

Auteur : Dario Floreano; Claudio Mattiussi
Éditeur : Cambridge, Mass. : MIT Press, ©2008.
Collection : Intelligent robotics and autonomous agents.
Édition/format : Livre : AnglaisVoir toutes les éditions et les formats
Résumé :
"New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that are capable of autonomous self-organization.  Lire la suite...
Évaluation :

 

 

Trouver un exemplaire dans la bibliothèque

Récupération en cours... Recherche de bibliothèques qui possèdent cet ouvrage...

Détails

Type d’ouvrage : Ressource Internet
Type de document : Livre, Ressource Internet
Tous les auteurs / collaborateurs : Dario Floreano; Claudio Mattiussi
ISBN : 9780262062718 0262062712
Numéro OCLC : 212627224
Description : xiv, 659 p. : ill. ; 24 cm.
Contenu : Evolutionary systems -- Cellular systems -- Neural systems -- Development systems -- Immune systems -- Behavioral systems -- Collective systems.
Titre de collection : Intelligent robotics and autonomous agents.
Responsabilité : Dario Floreano, Claudio Mattiussi.
Plus d’informations :

Résumé :

"New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence - to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers." "Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems-including several approaches to robotics, such as behavior-based, biomimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading."--BOOK JACKET.

Critiques


Tags

Soyez le premier.
Confirmez cette demande

Vous avez peut-être déjà demandé cet ouvrage. Veuillez sélectionner OK si vous voulez poursuivre avec cette demande quand même.