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Organized Adaption in Multi-Agent Systems, George Vouros; Alexander Artikis; Kostas Stathis;


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Автор: George Vouros; Alexander Artikis; Kostas Stathis;
Название:  Organized Adaption in Multi-Agent Systems
ISBN: 9783642023767
Издательство: Springer
Классификация:




ISBN-10: 3642023762
Обложка/Формат: Paperback
Страницы: 156
Вес: 0.24 кг.
Дата издания: 2009
Серия: Lecture notes in computer science / lecture notes in artificial intelligence
Язык: English
Иллюстрации: Illustrations
Размер: 229 x 152 x 10
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Organised Adaptation in Multi-Agent Systems, OAMAS 2008, held in Estoril, Portugal, in May 2008 as an associated event of AAMAS 2008.


Adaptive Hypermedia and Adaptive Web-Based Systems

Автор: Wolfgang Nejdl; Judy Kay; Pearl Pu; Eelco Herder
Название: Adaptive Hypermedia and Adaptive Web-Based Systems
ISBN: 3540709843 ISBN-13(EAN): 9783540709848
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Constitutes the proceedings of the 5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2008, held in Hannover, Germany in July 2008. This work includes 24 revised full papers and 26 revised short papers presented together with abstracts of 3 keynotes, 4 demo papers, and 11 doctoral consortium posters.

Formal Methods for the Quantitative Evaluation of Collective Adaptive Systems

Автор: Bernardo
Название: Formal Methods for the Quantitative Evaluation of Collective Adaptive Systems
ISBN: 3319340956 ISBN-13(EAN): 9783319340951
Издательство: Springer
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Цена: 7826.00 р.
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Описание: This book presents 8 tutorial lectures given by leading researchers at the 16th edition of the International School on Formal Methods for the Design of Computer, Communication and Software Systems, SFM 2016, held in Bertinoro, Italy, in June 2016.

Adaptive and Personalized Semantic Web

Автор: Spiros Sirmakessis
Название: Adaptive and Personalized Semantic Web
ISBN: 3642067859 ISBN-13(EAN): 9783642067853
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Web Personalization can be de?ned as any set of actions that can tailor the Webexperiencetoaparticularuserorsetofusers. Toachievee?ectivepers- alization, organizationsmustrelyonallavailabledata, includingtheusageand click-stream data (re?ecting user behaviour), the site content, the site str- ture, domainknowledge, aswellasuserdemographicsandpro?les. Inaddition, e?cient and intelligent techniques are needed to mine this data for actionable knowledge, and to e?ectively use the discovered knowledge to enhance the users' Web experience. These techniques must address important challenges emanating from the size and the heterogeneous nature of the data itself, as wellasthedynamicnatureofuserinteractionswiththeWeb. Thesechallenges include the scalability of the personalization solutions, data integration, and successful integration of techniques from machine learning, information - trievaland?ltering, databases, agentarchitectures, knowledgerepresentation, data mining, text mining, statistics, user modelling and human-computer - teraction. The Semantic Web adds one more dimension to this. The workshop will focus on the semantic web approach to personalization and adaptation. The Web has been formed to be an integral part of numerous applications inwhichauserinteractswithaserviceprovider, productsellers, governmental organisations, friends and colleagues. Content and services are available at di?erent sources and places. Hence, Web applications need to combine all available knowledge in order to form personalized, user-friendly, and busine- optimal services.

Adaptive Multimedia Retrieval: Retrieval, User, and Semantics

Автор: Nozha Boujemaa; Marcin Detyniecki; Andreas N?rnber
Название: Adaptive Multimedia Retrieval: Retrieval, User, and Semantics
ISBN: 3540798595 ISBN-13(EAN): 9783540798590
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed post-workshop proceedings of the 5th International Workshop on Adaptive Multimedia Retrieval, AMR 2007, held in Paris, France, in July 2007. This work is organized in topical sections on image annotation, feedback and user modelling, music retrieval, fusion, P2P and middleware, and databases and summarization.

Adaptive and Natural Computing Algorithms

Автор: Ville Kolehmainen; Pekka Toivanen; Bartlomiej Beli
Название: Adaptive and Natural Computing Algorithms
ISBN: 3642049206 ISBN-13(EAN): 9783642049200
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The ICANNGA series of conferences has been organized since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scienti?c community. Originally ICANNGA stood for "International Conference on Arti?cial Neural Networks and Genetic Algorithms," but in 2005 the conference was renamed to "International C- ference on Adaptive and Natural Computing Algorithms," while keeping the acronymICANNGA.The?rstICANNGAconferencewasheldinInnsbruckA- tria (1993), then Al es in France (1995), Norwich in the UK (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001), Roanne in France (2003), CoimbrainPortugal(2005)andWarsawinPoland(2007).ContinuingthisEu- peantradition, the9thICANNGA washeldinKuopio, Finland(2009).Thevast majority of ICANNGA conferences is organized by and based at a university. Drawing on the experience of previous events and following the same g- eral model, ICANNGA 2009 combined plenary lectures and technical sessions. Apart from being a widely recognized conference, it enhanced the possibility to exchange opinions through lectures and discussions, provided a great oppor- nity to meet new colleagues, as well as to renew old friendships and to facilitate the possibilities for international collaborations. As previously, the conference proceedings are published in the Springer LNCS series.

Software Engineering for Multi-Agent Systems III

Автор: Ricardo Choren; Alessandro Garcia; Carlos Lucena;
Название: Software Engineering for Multi-Agent Systems III
ISBN: 3540248439 ISBN-13(EAN): 9783540248439
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Presents a survey of advances in software engineering approaches to the design and analysis of realistic large-scale multi-agent systems (MAS). This book contains chapters that are devoted to various techniques and methods used to cope with the complexity of real-world MAS. It illustrates the power of agent-based software engineering.

Architectures for Adaptive Software Systems

Автор: Raffaela Mirandola; Ian Gorton; Christine Hofmeist
Название: Architectures for Adaptive Software Systems
ISBN: 3642023509 ISBN-13(EAN): 9783642023507
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the thoroughly refereed proceedings of the 5th International Conference on the Quality of Software Architectures, QoSA 2009, held in East Stroudsbury, PA, USA in June 2009, in conjunction with the 12th International Symposium on Component Based Software Engineering (CBSE 2009).

Adaptive and Natural Computing Algorithms

Автор: Bartlomiej Beliczynski; Andrzej Dzielinski; Marcin
Название: Adaptive and Natural Computing Algorithms
ISBN: 3540715908 ISBN-13(EAN): 9783540715900
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The two volume set LNCS 4431 and LNCS 4432 constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. The 178 revised full papers presented were carefully reviewed and selected from a total of 474 submissions.

Managing Trade-offs in Adaptable Software Architectures

Автор: Mistrik, Ivan
Название: Managing Trade-offs in Adaptable Software Architectures
ISBN: 0128028556 ISBN-13(EAN): 9780128028551
Издательство: Elsevier Science
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Цена: 13980.00 р.
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Описание:

Managing Trade-Offs in Adaptable Software Architectures explores the latest research on adapting large complex systems to changing requirements. To be able to adapt a system, engineers must evaluate different quality attributes, including trade-offs to balance functional and quality requirements to maintain a well-functioning system throughout the lifetime of the system.

This comprehensive resource brings together research focusing on how to manage trade-offs and architect adaptive systems in different business contexts. It presents state-of-the-art techniques, methodologies, tools, best practices, and guidelines for developing adaptive systems, and offers guidance for future software engineering research and practice.

Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to, how to architect a system for adaptability, software architecture for self-adaptive systems, understanding and balancing the trade-offs involved, architectural patterns for self-adaptive systems, how quality attributes are exhibited by the architecture of the system, how to connect the quality of a software architecture to system architecture or other system considerations, and more.


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