Autonomous Intelligent Systems Multi Agents And Data Mining

Author : Vladimir Gorodetsky
Publisher : Springer
ISBN 13 : 3540728392
Total Pages : 326 pages
Book Rating : 4.99/5 ( download)

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Download or read book Autonomous Intelligent Systems: Multi-Agents and Data Mining written by Vladimir Gorodetsky and published by Springer. This book was released on 2007-07-23 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007, held in St. Petersburg, Russia in June 2007. The 17 revised full papers and six revised short papers presented together with four invited lectures cover agent and data mining, agent competition and data mining, as well as text mining, semantic Web, and agents.

Author : Vladimir Gorodetsky
Publisher : Springer Science & Business Media
ISBN 13 : 3540261648
Total Pages : 313 pages
Book Rating : 4.43/5 ( download)

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Download or read book Autonomous Intelligent Systems: Agents and Data Mining written by Vladimir Gorodetsky and published by Springer Science & Business Media. This book was released on 2005-05-30 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2005, held in St. Petersburg, Russia in June 2005. The 17 revised full papers presented together with 5 invited papers and the abstract of an invited talk were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on agent-based data mining issues, ontologies and Web mining, and applications and case studies.

Author : Vladimir Gorodetsky
Publisher : Springer
ISBN 13 : 9783540811558
Total Pages : 303 pages
Book Rating : 4.59/5 ( download)

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Download or read book Autonomous Intelligent Systems: Agents and Data Mining written by Vladimir Gorodetsky and published by Springer. This book was released on 2009-09-02 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Longbing Cao
Publisher : Springer Science & Business Media
ISBN 13 : 1441905227
Total Pages : 335 pages
Book Rating : 4.22/5 ( download)

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Download or read book Data Mining and Multi-agent Integration written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2009-07-25 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Multi agent Integration aims to re?ect state of the art research and development of agent mining interaction and integration (for short, agent min ing). The book was motivated by increasing interest and work in the agents data min ing, and vice versa. The interaction and integration comes about from the intrinsic challenges faced by agent technology and data mining respectively; for instance, multi agent systems face the problem of enhancing agent learning capability, and avoiding the uncertainty of self organization and intelligence emergence. Data min ing, if integrated into agent systems, can greatly enhance the learning skills of agents, and assist agents with predication of future states, thus initiating follow up action or intervention. The data mining community is now struggling with mining distributed, interactive and heterogeneous data sources. Agents can be used to man age such data sources for data access, monitoring, integration, and pattern merging from the infrastructure, gateway, message passing and pattern delivery perspectives. These two examples illustrate the potential of agent mining in handling challenges in respective communities. There is an excellent opportunity to create innovative, dual agent mining interac tion and integration technology, tools and systems which will deliver results in one new technology.

Author : Andreas L. Symeonidis
Publisher : Springer Science & Business Media
ISBN 13 : 0387257578
Total Pages : 216 pages
Book Rating : 4.70/5 ( download)

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Download or read book Agent Intelligence Through Data Mining written by Andreas L. Symeonidis and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases.

Author : Dilip Kumar Pratihar
Publisher : Springer
ISBN 13 : 3642116760
Total Pages : 269 pages
Book Rating : 4.66/5 ( download)

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Download or read book Intelligent Autonomous Systems written by Dilip Kumar Pratihar and published by Springer. This book was released on 2010-03-11 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Autonomous Systems (IAS) are the physical embodiment of machine intelligence providing a core concept for integrating various advanced techno- gies with pattern recognition and learning. The basic philosophy of IAS research is to explore and understand the nature of intelligence in problems of perception, reasoning, learning and control in order to develop and implement the theory to engineered realization. In other words, the objective is to formulate various me- odologies for the development of robots which can operate autonomously and exhibit intelligent behavior by making appropriate decisions to perform the right task at the right time. Since IAS basically deals with the integration of machines, computing, sensing, and software to create intelligent systems capable of intera- ing with the complexities of the real world, advanced topics like soft computing, artificial life, evolutionary biology, and cognitive psychology have great promise in improving its intelligence and performance. Because of the inter-disciplinary character, the subject has several challenging issues for research, design and development covering a number of disciplines. These issues are further concerned with the development of both technology and methodology apart from various operations. The present research monograph titled “Intelligent Autonomous Systems: Foundations and Applications", edited by two renowned researchers, Professor Dilip K. Pratihar of IIT, Kharagpur, India and Professor Lakhmi C. Jain, Univ- sity of South Australia, Australia, provides a fairly representative cross-section of the activities that is going on all over the world in this area.

Author : Dominik Ryzko
Publisher : John Wiley & Sons
ISBN 13 : 1119597846
Total Pages : 208 pages
Book Rating : 4.41/5 ( download)

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Download or read book Modern Big Data Architectures written by Dominik Ryzko and published by John Wiley & Sons. This book was released on 2020-03-31 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organized computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics. This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets. Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence—enabling next generation systems to be built by incorporating the best aspects of the field. This book: Illustrates how data sets are produced and how they can be utilized in various areas of industry and science Explains how to apply common computational models and state-of-the-art architectures to process Big Data tasks Discusses current and emerging Big Data applications of Artificial Intelligence Modern Big Data Architectures: A Multi-Agent Systems Perspective is a timely and important resource for data science professionals and students involved in Big Data analytics, and machine and artificial learning.

Author : Vladimir Gorodetsky
Publisher : Springer
ISBN 13 : 3540319328
Total Pages : 303 pages
Book Rating : 4.20/5 ( download)

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Download or read book Autonomous Intelligent Systems: Agents and Data Mining written by Vladimir Gorodetsky and published by Springer. This book was released on 2005-05-20 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the International Workshop Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM 2005) held in St. Petersburg, Russia, during June 6–8, 2005.

Author : Gerhard Weiss
Publisher : MIT Press
ISBN 13 : 0262533871
Total Pages : 917 pages
Book Rating : 4.74/5 ( download)

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Download or read book Multiagent Systems, second edition written by Gerhard Weiss and published by MIT Press. This book was released on 2016-10-28 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference. Multiagent systems are made up of multiple interacting intelligent agents—computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study. This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999. Sixteen of the book's seventeen chapters were written for this edition; all chapters are by leaders in the field, with each author contributing to the broad base of knowledge and experience on which the book rests. The book covers basic concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory. Each chapter includes references, many illustrations and examples, and exercises of varying degrees of difficulty. The chapters and the overall book are designed to be self-contained and understandable without additional material. Supplemental resources are available on the book's Web site. Contributors Rafael Bordini, Felix Brandt, Amit Chopra, Vincent Conitzer, Virginia Dignum, Jürgen Dix, Ed Durfee, Edith Elkind, Ulle Endriss, Alessandro Farinelli, Shaheen Fatima, Michael Fisher, Nicholas R. Jennings, Kevin Leyton-Brown, Evangelos Markakis, Lin Padgham, Julian Padget, Iyad Rahwan, Talal Rahwan, Alex Rogers, Jordi Sabater-Mir, Yoav Shoham, Munindar P. Singh, Kagan Tumer, Karl Tuyls, Wiebe van der Hoek, Laurent Vercouter, Meritxell Vinyals, Michael Winikoff, Michael Wooldridge, Shlomo Zilberstein

Author : Longbing Cao
Publisher : Springer Science & Business Media
ISBN 13 : 3642276083
Total Pages : 368 pages
Book Rating : 4.88/5 ( download)

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Download or read book Agents and Data Mining Interaction written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2012-01-09 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Agents and Data Mining Interaction, ADMI 2011, held in Taipei, Taiwan, in May 2011 in conjunction with AAMAS 2011, the 10th International Joint Conference on Autonomous Agents and Multiagent Systems. The 11 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on agents for data mining; data mining for agents; and agent mining applications.