Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2010
Genre:	EDV / Informatik
	Artificial Intelligence / bioinformatics / C / Computation by Abstract Devices / Computational and Systems Biology / Computational Biology/Bioinformatics / computer science / Computers / Information technology# general issues / Life sciences# general issues / Mathematical theory of computation / Theory of Computation mehr...
ISBN:	9781441935021
EAN-Code:	9781441935021
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#268 - IFIP Advances in Information and Communication Technology
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	403 gr
Seiten:	247
Illustration:	XII, 247 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

"Look deep into nature and you will understand everything better." advised Albert Einstein. In recent years, the research communities in Computer Science, Engineering, and other disciplines have taken this message to heart, and a relatively new field of "biologically-inspired computing" has been born. Inspiration is being drawn from nature, from the behaviors of colonies of ants, of swarms of bees and even the human body. This new paradigm in computing takes many simple autonomous objects or agents and lets them jointly perform a complex task, without having the need for centralized control. In this paradigm, these simple objects interact locally with their environment using simple rules. Applications include optimization algorithms, communications networks, scheduling and decision making, supply-chain management, and robotics, to name just a few. There are many disciplines involved in making such systems work: from artificial intelligence to energy aware systems. Often these disciplines have their own field of focus, have their own conferences, or only deal with specialized s- problems (e.g. swarm intelligence, biologically inspired computation, sensor networks). The Second IFIP Conference on Biologically-Inspired Collaborative Computing aims to bridge this separation of the scientific community and bring together researchers in the fields of Organic Computing, Autonomic Computing, Self-Organizing Systems, Pervasive Computing and related areas. We are very pleased to have two very important keynote presentations: Swarm Robotics: The Coordination of Robots via Swarm Intelligence Principles by Marco Dorigo (Université Libre de Bruxelles, Belgium), of which an abstract is included in this volume.