Autonomous Intelligent Systems Multi Agents And Data Mining
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Autonomous Intelligent Systems Multi Agents And Data Mining
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Author : Vladimir Gorodetsky
language : en
Publisher: Springer
Release Date : 2007-07-23
Autonomous Intelligent Systems Multi Agents And Data Mining written by Vladimir Gorodetsky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-23 with Computers categories.
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.
Autonomous Intelligent Systems Agents And Data Mining
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Author : Vladimir Gorodetsky
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-05-30
Autonomous Intelligent Systems Agents And Data Mining written by Vladimir Gorodetsky and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-30 with Computers categories.
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.
Agent Intelligence Through Data Mining
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Author : Andreas L. Symeonidis
language : en
Publisher: Springer
Release Date : 2011-10-04
Agent Intelligence Through Data Mining written by Andreas L. Symeonidis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-04 with Computers categories.
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.
Data Mining And Multi Agent Integration
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Author : Longbing Cao
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-25
Data Mining And Multi Agent Integration written by Longbing Cao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-25 with Computers categories.
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.
Multi Agent Systems
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Author : Jorge Rocha
language : en
Publisher: BoD – Books on Demand
Release Date : 2017-09-13
Multi Agent Systems written by Jorge Rocha and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-13 with Computers categories.
Multi-agent system (MAS) is an expanding field in science and engineering. It merges classical fields like game theory with modern ones like machine learning and computer science. This book provides a succinct introduction to the subject, covering the theoretical fundamentals as well as the latter developments in a coherent and clear manner. The book is centred on practical applications rather than introductory topics. Although it occasionally makes reference to the concepts involved, it will do so primarily to clarify real-world applications. The inner chapters cover a wide spectrum of issues related to MAS uses, which include collision avoidance, automotive applications, evacuation simulation, emergence analyses, cooperative control, context awareness, data (image) mining, resilience enhancement and the management of a single-user multi-robot.
Multiagent Systems
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Author : Gerhard Weiss
language : en
Publisher: MIT Press
Release Date : 2013-03-08
Multiagent Systems written by Gerhard Weiss and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-08 with Computers categories.
This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook.
Data Science Thinking
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Author : Longbing Cao
language : en
Publisher: Springer
Release Date : 2018-08-17
Data Science Thinking written by Longbing Cao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-17 with Computers categories.
This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.
Agents And Data Mining Interaction
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Author : Longbing Cao
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-30
Agents And Data Mining Interaction written by Longbing Cao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-30 with Computers categories.
The2009InternationalWorkshoponAgentsandDataMiningInteraction(ADMI 2009) was a joint event with AAMAS2009. In recentyears,agents and data mining interaction (ADMI), or agent mining forshort,hasemergedasaverypromisingresearch?eld. Followingthesuccessof ADMI 2006 in Hong Kong, ADMI 2007 in San Jose, and ADMI 2008 in Sydney, the ADMI 2009 workshop in Budapest provided a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the synergy between agents and data mining. As usual, the ADMI workshop encouraged and promoted theoretical and applied research and development, which aims at: – Exploitingagent-drivendatamininganddemonstratinghowintelligentagent technology can contribute to critical data mining problems in theory and practice – Improving data mining-driven agents and showing how data mining can strengthen agent intelligence in research and practical applications – Exploring the integration of agents and data mining toward a super-intelligent information processing and systems – Identifying challenges and directions for future research on the synergy between agents and data mining ADMI 2009 featured two invited talks and twelve selected papers. The ?rst invited talk was on “Agents and Data Mining in Bioinformatics,” with the s- ond focusing on “Knowledge-Based Reinforcement Learning. ” The ten accepted papers are from seven countries. A majority of submissions came from Eu- pean countries, indicating the boom of ADMI research in Europe. In addition the two invited papers, addressed fundamental issues related to agent-driven data mining, data mining-driven agents, and agent mining applications. The proceedings of the ADMI workshops will be published as part of the LNAIseriesbySpringer. WeappreciatethesupportofSpringer,andinparticular Alfred Hofmann.
Developments And Trends In Intelligent Technologies And Smart Systems
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Author : Sugumaran, Vijayan
language : en
Publisher: IGI Global
Release Date : 2017-09-13
Developments And Trends In Intelligent Technologies And Smart Systems written by Sugumaran, Vijayan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-13 with Computers categories.
Due to the exponential rise of emerging technology, there have been significant developments in intelligent systems. This has facilitated increasing opportunities for new applications and improvements. Developments and Trends in Intelligent Technologies and Smart Systems is a critical source of scholarly material on the design, implementation, and integration of intelligent applications across numerous industries. Highlighting a range of innovative topics such as enterprise modeling, remote patient monitoring, and service-oriented architecture, this book is ideally designed for researchers, engineers, computer scientists, academics, students, and professionals interested in the latest applications of intelligent technologies.
Process Oriented Analysis And Validation Of Multi Agent Based Simulations
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Author : Nicolas Denz
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2014-12-31
Process Oriented Analysis And Validation Of Multi Agent Based Simulations written by Nicolas Denz and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-31 with Computers categories.
In multi-agent-based simulation (MABS) the behavior of individual actors is modeled in detail. The analysis and validation of these models is rated as difficult and requires support by innovative techniques and tools. Problems include model complexity, the amount and often qualitative representation of simulation results, and the typical dichotomy between microscopic modeling and macroscopic observation perspectives. In recent years, data mining has been increasingly applied as a support technique in this context. A particularly promising approach is found in the field of process mining. Due to its rooting in business process analysis, process mining shares several process- and organization-oriented analysis perspectives and use cases with agent-based modeling. This thesis proposes a conceptual framework for the systematic application of process mining to the analysis and validation of MABS. As a foundation, agent-oriented analysis perspectives and simulation-specific use cases are identified and complemented with methods, techniques, and results from the literature. A partial formalization of perspectives and use cases is sketched by utilizing concepts from process modeling and software engineering. Beyond the conceptual work, process mining is applied in two case studies related to different modeling and simulation approaches.