PORTO-
FREI

Multi-Agent Systems

9th European Workshop, EUMAS 2011, Maastricht, The Netherlands, November 14-15, 2011. Revised Selected Papers

This book constitutes the thoroughly reviewed post-proceedings of the 9th International Workshop, EUMAS 2011, held in Maastricht, The Netherlands, in November 2011. The 16 revised full papers included in the book were carefully revised and selected from 45 submissions. This workshop is primarily intended as a European forum at which researchers and those interested in activities relating to research in the area of autonomous agents and multi-agent systems could meet, present (potentially preliminary) research results, problems, and issues in an open and informal but academic environment. The aim of this workshop was to encourage and support activity in the research and development of multi-agent systems, in academic and industrial efforts.

Buch (Kartoniert)

EUR 49,22

Alle Preisangaben inkl. MwSt.

Auch verfügbar als:

  Verlagsbedingte Lieferzeit ca. 3 - 6 Werktage.
(Print on Demand. Lieferbar innerhalb von 3 bis 6 Tagen)

Versandkostenfrei*

Dieser Artikel kann nicht bestellt werden.
 

Produktbeschreibung

This book constitutes the thoroughly reviewed post-proceedings of the 9th International Workshop, EUMAS 2011, held in Maastricht, The Netherlands, in November 2011. The 16 revised full papers included in the book were carefully revised and selected from 45 submissions. This workshop is primarily intended as a European forum at which researchers and those interested in activities relating to research in the area of autonomous agents and multi-agent systems could meet, present (potentially preliminary) research results, problems, and issues in an open and informal but academic environment. The aim of this workshop was to encourage and support activity in the research and development of multi-agent systems, in academic and industrial efforts. 

Inhaltsverzeichnis


Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping.- Game Theory for Security: An Important Challenge for Multiagent Systems Local Coordination in Online Distributed Constraint Optimization Problems.- Improving Diagnosis Agents with Hybrid Hypotheses Confirmation Reasoning Techniques.- Towards a Design Process for Modeling MAS Organizations.- Argumentation Strategies for Task Delegation.- Using OWL 2 DL for Expressing ACL Content and Semantics.- Self-adaptive Complex Systems.- Argumentation Semantics for Agents.- Multi-agent Learning and the Reinforcement Gradient.- A Methodology for the Generation of Multi-agent Argumentation.- Dialogue Scenarios.- What Are Models for.- QueryPOMDP: POMDP-Based Communication in Multiagent Systems.- A Multi-agent Based Governance of Machine-to-Machine Systems.- A Proposal of Process Fragment Definition and Documentation.- Recognizing Internal States of Other Agents to Anticipate and Coordinate Interactions. 

Mehr vom Verlag:

k.A.

Mehr aus der Reihe:

Produktdetails

Medium: Buch
Format: Kartoniert
Seiten: 272
Sprache: Englisch
Erschienen: Oktober 2012
Auflage: 2012
Maße: 235 x 155 mm
Gewicht: 417 g
ISBN-10: 3642347983
ISBN-13: 9783642347986

Bestell-Nr.: 13081623 
Libri-Verkaufsrang (LVR):
Libri-Relevanz: 0 (max 9.999)
 

Ist ein Paket? 0
Rohertrag: 10,58 €
Porto: 1,84 €
Deckungsbeitrag: 8,74 €

LIBRI: 0000000
LIBRI-EK*: 35.42 € (23.00%)
LIBRI-VK: 49,22 €
Libri-STOCK: 0
LIBRI: 097 Print on Demand. Lieferbar innerhalb von 7 bis 10 Tagen * EK = ohne MwSt.

UVP: 2 
Warengruppe: 26320 

KNO: 34815653
KNO-EK*: 34.50 € (25.00%)
KNO-VK: 49,22 €
KNV-STOCK: 0

KNO-SAMMLUNG: Lecture Notes in Computer Science 7541
KNOABBVERMERK: 2012. xii, 259 S. XII, 259 p. 82 illus. 235 mm
KNOMITARBEITER: Herausgegeben:Cossentino, Massimo; Kaisers, Michael; Tuyls, Karl; Weiß, Gerhard
Einband: Kartoniert
Auflage: 2012
Sprache: Englisch
Beilage(n): Paperback

Alle Preise inkl. MwSt. , innerhalb Deutschlands liefern wir immer versandkostenfrei . Informationen zum Versand ins Ausland .

Kostenloser Versand *

innerhalb eines Werktages

OHNE RISIKO

30 Tage Rückgaberecht

Käuferschutz

mit Geld-Zurück-Garantie