Paperback. Zustand: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Except for library markings, interior clean and unmarked. Tight binding.
Zustand: New.
Paperback or Softback. Zustand: New. Learning and Adaption in Multi-Agent Systems: First International Workshop, Lamas 2005, Utrecht, the Netherlands, July 25, 2005, Revised Selected Pape. Book.
Zustand: As New. Unread book in perfect condition.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 59,99
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 56,71
Anzahl: 10 verfügbar
In den WarenkorbPaperback. Zustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 59,66
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In den WarenkorbZustand: New.
Zustand: New. pp. 232.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 66,44
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2006
ISBN 10: 3540330534 ISBN 13: 9783540330530
Anbieter: moluna, Greven, Deutschland
EUR 60,63
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Learning and Adaption in Multi-Agent Systems, LAMAS 2005, held in The Netherlands, in July 2005, as an associated event of AAMAS 2005. The 13 revised pa.
Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2006
ISBN 10: 3540330534 ISBN 13: 9783540330530
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - This book contains selected and revised papers of the International Workshop on Lea- ing and Adaptation in Multi-Agent Systems (LAMAS 2005), held at the AAMAS 2005 Conference in Utrecht, The Netherlands, July 26. An important aspect in multi-agent systems (MASs) is that the environment evolves over time, not only due to external environmental changes but also due to agent int- actions. For this reason it is important that an agent can learn, based on experience, and adapt its knowledge to make rational decisions and act in this changing environment autonomously. Machine learning techniques for single-agent frameworks are well established. Agents operate in uncertain environments and must be able to learn and act - tonomously. This task is, however, more complex when the agent interacts with other agents that have potentially different capabilities and goals. The single-agent case is structurally different from the multi-agent case due to the added dimension of dynamic interactions between the adaptive agents. Multi-agent learning, i.e., the ability of the agents to learn how to cooperate and compete, becomes crucial in many domains. Autonomous agents and multi-agent systems (AAMAS) is an emerging multi-disciplinary area encompassing computer science, software engineering, biology, as well as cognitive and social sciences. A t- oretical framework, in which rationality of learning and interacting agents can be - derstood, is still under development in MASs, although there have been promising rst results.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 76,32
Anzahl: 4 verfügbar
In den WarenkorbZustand: New. Print on Demand pp. 232 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND pp. 232.