Vyhledávat v databázi titulů je možné dle ISBN, ISSN, EAN, č. ČNB, OCLC či vlastního identifikátoru. Vyhledávat lze i v databázi autorů dle id autority či jména.
Projekt ObalkyKnih.cz sdružuje různé zdroje informací o knížkách do jedné, snadno použitelné webové služby. Naše databáze v tuto chvíli obsahuje 3160459 obálek a 951889 obsahů českých a zahraničních publikací. Naše API využívá většina knihoven v ČR.
Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Rok: 2005
ISBN: 9783540252603
OKCZID: 110049722
Citace (dle ČSN ISO 690):
ALONSO, Eduardo, ed., KUDENKO, Daniel, ed. a KAZAKOV, Dimitar, ed. Adaptive agents and multi-agent systems II: adaptation and multi-agent learning. Berlin: Springer, c2005. viii, 312 s. Lecture notes in computer science. Lecture notes in artificial intelligence, 3394.
Anotace
Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.