Bio-Inspired Models of Network, Information, and Computing Systems 6th International ICST Conference, BIONETICS 2011, York, UK, December 5-6, 2011, Revised Selected Papers /

This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the city of York, UK, in December 2011. Bionetics main objective is to bring bio-in...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hart, Emma (Editor ), Timmis, Jonathan (Editor ), Mitchell, Paul (Editor ), Nakano, Tadashi (Editor ), Dabri, Foad (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 103
Temas:
Computer networks .
Application software.
Artificial intelligence.
Algorithms.
Computer Communication Networks.
Computer and Information Systems Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo
Descripción
Sumario:This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the city of York, UK, in December 2011. Bionetics main objective is to bring bio-inspired paradigms into computer engineering and networking, and to enhance the fruitful interactions between these fields and biology. The papers of the conference were accepted in 2 categories: full papers and work-in progress. Full papers describe significant advances in the Bionetics field, while work-in-progress papers present an opportunity to discuss breaking research which is currently being evaluated. The topics are ranging from robotic coordination to attack detection in peer-to-peer networks, biological mechanisms including evolution, flocking and artificial immune systems, and nano-scale communication and networking.
Descripción Física:IX, 259 p. 326 illus. online resource.
ISBN:9783642327117
ISSN:1867-822X ;

Ejemplares similares