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Agent Based Hybrid Intelligent Systems
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Book Synopsis Agent-Based Hybrid Intelligent Systems by : Zili Zhang (Ph.D.)
Download or read book Agent-Based Hybrid Intelligent Systems written by Zili Zhang (Ph.D.) and published by Springer Science & Business Media. This book was released on 2004-01-28 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.
Book Synopsis Design and Application of Hybrid Intelligent Systems by : Ajith Abraham
Download or read book Design and Application of Hybrid Intelligent Systems written by Ajith Abraham and published by . This book was released on 2003 with total page 1160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Engineering Intelligent Hybrid Multi-Agent Systems by : Rajiv Khosla
Download or read book Engineering Intelligent Hybrid Multi-Agent Systems written by Rajiv Khosla and published by Springer Science & Business Media. This book was released on 1997-09-30 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts related to fusion systems, transformation systems and combination systems. These applications are in areas involving hybrid configurations of knowledge-based systems, case-based reasoning, fuzzy systems, artificial neural networks, genetic algorithms, and in knowledge discovery and data mining. Through examples and applications a synergy of these subjects is demonstrated. The authors introduce a multi-agent architectural theory for engineering intelligent associative hybrid systems. The architectural theory is described at both the task structure level and the computational level. This problem-solving architecture is relevant for developing knowledge agents and information agents. An enterprise-wide system modeling framework is outlined to facilitate forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. In the modeling process, software engineering aspects like agent oriented analysis, design and reuse are developed and described. Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.
Book Synopsis Intelligent Technologies for Information Analysis by : Ning Zhong
Download or read book Intelligent Technologies for Information Analysis written by Ning Zhong and published by Springer Science & Business Media. This book was released on 2004-08-12 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today we live in an information age: information has become a commodity, and every second thousands of new records are created. This explosion of massive data sets created by businesses, science and governments necessitates intelligent and more powerful computing paradigms so that users can benefit from this data. This information needs to be summarized and synthesized to support effective problem solving and decision making. The papers in this book assume an interdisciplinary approach based on three major methodologies: first, hybridization, i.e., combining methods in order to harness their strengths and avoid their shortcomings; second, multiphase processing, i.e., the step-wise preparation, evaluation and refinement of data; and, third, multi-agent and distributed processing, i.e., using intelligent agents as well as Web or grid architectures. The final vision of the authors is an intelligent information technology, encompassing theories and applications from, for example, artificial intelligence, data mining, grid computing, and statistical learning. This monograph presents the current state of research and development in both theoretical and application aspects of intelligent information analysis. It is a source of reference and includes numerous examples for researchers, graduate students and advanced professionals working in areas such as electronic commerce, business intelligence, and knowledge grids.
Book Synopsis Hybrid Artificial Intelligent Systems by : Enrique Onieva
Download or read book Hybrid Artificial Intelligent Systems written by Enrique Onieva and published by Springer. This book was released on 2015-05-29 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, held Bilbao, Spain, June 2014. The 60 papers published in this volume were carefully reviewed and selected from 190 submissions. They are organized in topical sections such as data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning algorithms; hybrid intelligent systems for data mining and applications; classification and cluster analysis, HAIS applications.
Book Synopsis PRICAI 2002: Trends in Artificial Intelligence by : Mitsuru Ishizuka
Download or read book PRICAI 2002: Trends in Artificial Intelligence written by Mitsuru Ishizuka and published by Springer Science & Business Media. This book was released on 2002-08-07 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2002, held in Tokyo, Japan in August 2002. The 57 revised full papers presented together with 5 invited contributions and 26 posters were carefully reviewed and selected from 161 submissions. The papers are organized in topical sections on logic and AI foundations, representation and reasoning of actions, constraint satisfaction, foundations of agents, foundations of learning, reinforcement learning, knowledge acquisition and management, data mining and knowledge discovery, neural network learning, learning for robots, multi-agent applications, document analysis, Web intelligence, bioinformatics, intelligent learning environments, face recognition, and multimedia and emotion.
Book Synopsis Transactions on Intelligent Welding Manufacturing by : Shanben Chen
Download or read book Transactions on Intelligent Welding Manufacturing written by Shanben Chen and published by Springer Nature. This book was released on 2020-08-31 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2020 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2020) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
Book Synopsis Autonomous Intelligent Systems: Multi-Agents and Data Mining by : Vladimir Gorodetsky
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 334 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.
Book Synopsis Computational Intelligence for Agent-based Systems by : Raymond S.T. Lee
Download or read book Computational Intelligence for Agent-based Systems written by Raymond S.T. Lee and published by Springer Science & Business Media. This book was released on 2007-08-13 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of this volume is to give to the reader a wide scenario of recent works characterized by a synergistic combination of Soft Computing area with recent trends of Distributed Artificial Intelligence and Ambient Intelligence. The editors present two basic paradigms: the emergence of computational intelligence as a mature and integrated science, and the power of the agent paradigm in realizing complex and distributed environments. This book explores these emerging areas inviting well-known authors whose expertise is widely recognized.
Book Synopsis Active Media Technology by : Jian Ping Li
Download or read book Active Media Technology written by Jian Ping Li and published by World Scientific. This book was released on 2003-01-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seeking to capture the essence of the current state of research in active media technology, this volume identifies the changes and opportunities - both current and future - in the field. The papers are taken from the Second International Conference on Active Media Technology, held in China in 2003. Researchers such as Professor Ning Zhong from the Maebashi Institute of Technology, Professor John Yen from the Pennsylvania State University, and Professor Sanker K. Pal from the Indian Statistical Institute present their research papers.
Book Synopsis Applied Decision Support with Soft Computing by : Xinghuo Yu
Download or read book Applied Decision Support with Soft Computing written by Xinghuo Yu and published by Springer. This book was released on 2012-12-06 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing has provided sophisticated methodologies for the development of intelligent decision support systems. Fast advances in soft computing technologies, such as fuzzy logic and systems, artificial neural networks and evolutionary computation, have made available powerful problem representation and modelling paradigms, and learning and optimisation mechanisms for addressing modern decision making issues. This book provides a comprehensive coverage of up-to-date conceptual frameworks in broadly perceived decision support systems and successful applications. Different from other existing books, this volume predominately focuses on applied decision support with soft computing. Areas covered include planning, management finance and administration in both the private and public sectors.
Book Synopsis Data Mining and Multi-agent Integration by : Longbing Cao
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.
Book Synopsis Autonomous Intelligent Systems: Agents and Data Mining by : Vladimir Gorodetsky
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.
Book Synopsis X-Machines for Agent-Based Modeling by : Mariam Kiran
Download or read book X-Machines for Agent-Based Modeling written by Mariam Kiran and published by CRC Press. This book was released on 2017-08-30 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Foreword: "This book exemplifies one of the most successful approaches to modeling and simulating [the] new generation of complex systems. FLAME was designed to make the building of large scale complex systems models straightforward and the simulation code that it generates is highly efficient and can be run on any modern technology. FLAME was the first such platform that ran efficiently on high performance parallel computers and a version for GPU technology is also available. At its heart, and the reason why it is so efficient and robust, is the use of a powerful computational model ‘Communicating X-machines’ which is general enough to cope with most types of modelling problems. As well as being increasingly important in academic research, FLAME is now being applied in industry in many different application areas. This book describes the basics of FLAME and is illustrated with numerous examples." —Professor Mike Holcombe, University of Sheffield, UK Agent-based models have shown applications in various fields such as biology, economics, and social science. Over the years, multiple agent-based modeling frameworks have been produced, allowing experts with non-computing background to easily write and simulate their models. However, most of these models are limited by the capability of the framework, the time it takes for a simulation to finish, or how to handle the massive amounts of data produced. FLAME (Flexible Large-scale Agent-based Modeling Environment) was produced and developed through the years to address these issues. This book contains a comprehensive summary of the field, covers the basics of FLAME, and shows how concepts of X-machines, can be stretched across multiple fields to produce agent models. It has been written with several audiences in mind. First, it is organized as a collection of models, with detailed descriptions of how models can be designed, especially for beginners. A number of theoretical aspects of software engineering and how they relate to agent-based models are discussed for students interested in software engineering and parallel computing. Finally, it is intended as a guide to developers from biology, economics, and social science, who want to explore how to write agent-based models for their research area. By working through the model examples provided, anyone should be able to design and build agent-based models and deploy them. With FLAME, they can easily increase the agent number and run models on parallel computers, in order to save on simulation complexity and waiting time for results. Because the field is so large and active, the book does not aim to cover all aspects of agent-based modeling and its research challenges. The models are presented to show researchers how they can build complex agent functions for their models. The book demonstrates the advantage of using agent-based models in simulation experiments, providing a case to move away from differential equations and build more reliable, close to real, models. The Open Access version of this book, available at https://doi.org/10.1201/9781315370729, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Book Synopsis Advances in Intelligent IT by : Y. Li
Download or read book Advances in Intelligent IT written by Y. Li and published by IOS Press. This book was released on 2006-05-09 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the great digital era, we are witnessing many rapid scientific and technological developments in human-centered, seamless computing environments, interfaces, devices and systems with applications ranging from business and communication to entertainment and learning. These developments are collectively best characterized as Active Media Technology (AMT), a new area of intelligent information technology and computer science that emphasizes the proactive, seamless roles of interfaces and systems as well as new media in all aspects of digital life. An AMT based computer system offers services that enable the rapid design, implementation, deploying and support of customized solutions. This book brings together papers from researchers from diverse areas, such as Web intelligence, data mining, intelligent agents, smart information use, networking and intelligent interface. The book includes papers on the following topics: Active Computer Systems and Intelligent Interfaces; Adaptive Web Systems and Information Foraging Agents; Web mining, Wisdom Web and Web Intelligence; E-Commerce and Web Services; Data Mining, Ontology Mining and Data Reasoning; Network, Mobile and Wireless Security; Entertainment and Social Applications of Active Media; Agent-Based Software Engineering and Multi-Agent Systems; Digital City and Digital Interactivity; Machine Learning and Human-Centered Robotics; Multi-Modal Processing, Detection, Recognition, and Expression Analysis; Personalized, Pervasive, and Ubiquitous Systems and their Interfaces; Smart Digital Media; and Evaluation of Active Media and AMT Based Systems.
Book Synopsis Advances in Intelligent IT by : Yuefeng Li
Download or read book Advances in Intelligent IT written by Yuefeng Li and published by IOS Press. This book was released on 2006 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Active Media Technology is an area of intelligent information technology and computer science that emphasizes the proactive roles of interfaces and systems. This book brings together papers from researchers from diverse areas, such as Web intelligence, data mining, intelligent agents, smart information use, networking and intelligent interface.
Book Synopsis COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS by : Ruan Da
Download or read book COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS written by Ruan Da and published by Springer Science & Business Media. This book was released on 2010-06-01 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. The uncertainties result in a lack of the full and precise knowledge of the decision system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Computational intelligent techniques (including fuzzy logic, neural networks, and genetic algorithms etc.), which are complimentary to the existing traditional techniques, have shown great potential to solve these demanding, real-world decision problems that exist in uncertain and unpredictable environments. These technologies have formed the foundation for intelligent systems.
