Paperback. Condizione: 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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 54,57
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Aggiungi al carrelloCondizione: New.
Paperback or Softback. Condizione: New. Learning and Adaption in Multi-Agent Systems: First International Workshop, Lamas 2005, Utrecht, the Netherlands, July 25, 2005, Revised Selected Pape. Book.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 60,61
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 59,99
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Aggiungi al carrelloCondizione: New. In.
Da: Chiron Media, Wallingford, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 59,66
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Condizione: New. pp. 232.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,44
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2006
ISBN 10: 3540330534 ISBN 13: 9783540330530
Da: moluna, Greven, Germania
EUR 60,63
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Aggiungi al carrelloCondizione: 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.
Lingua: Inglese
Editore: Springer, Berlin, Springer, 2006
ISBN 10: 3540330534 ISBN 13: 9783540330530
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 73,48
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 76,32
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Aggiungi al carrelloCondizione: 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 78,49
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 232.