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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 Agent-Based Hybrid Intelligent Systems: an Agent-Based Framework for Complex Problem Solving by : Zili Zhang
Download or read book Agent-Based Hybrid Intelligent Systems: an Agent-Based Framework for Complex Problem Solving written by Zili Zhang and published by . This book was released on 2004 with total page 196 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 Agent-Based Hybrid Intelligent Systems by : Zili Zhang
Download or read book Agent-Based Hybrid Intelligent Systems written by Zili Zhang and published by . This book was released on 2014-01-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 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. This book was released on 2003-08-02 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 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.
Book Synopsis Proceedings of the Second International Conference on Active Media Technology, Chongqing, PR China, 29-31 May 2003 by : Jian Ping Li
Download or read book Proceedings of the Second International Conference on Active Media Technology, Chongqing, PR China, 29-31 May 2003 written by Jian Ping Li and published by World Scientific. This book was released on 2003 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book captures the essence of the current state of research in active media technology and identifies the new changes and opportunities ? both current and future ? in the field. Distinguished researchers such as Prof Ning Zhong from the Maebashi Institute of Technology, Prof John Yen from the Pennsylvania State University, and Prof Sanker K Pal from the Indian Statistical Institute present their research papers.
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 2012-12-06 with total page 421 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 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 Introduction to Hybrid Intelligent Networks by : Zhi-Hong Guan
Download or read book Introduction to Hybrid Intelligent Networks written by Zhi-Hong Guan and published by Springer. This book was released on 2019-02-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things. Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods. Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book.
Book Synopsis Innovations in Multi-Agent Systems and Application – 1 by : Dipti Srinivasan
Download or read book Innovations in Multi-Agent Systems and Application – 1 written by Dipti Srinivasan and published by Springer Science & Business Media. This book was released on 2010-08-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of multi-agent systems and several applications that have been developed for real-world problems. Multi-agent systems is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexities arising from their interactions. Multi-agent systems allow the subproblems of a constraint satisfaction problem to be subcontracted to different problem solving agents with their own interest and goals. This increases the speed, creates parallelism and reduces the risk of system collapse on a single point of failure. Different multi-agent architectures, that are tailor-made for a specific application are possible. They are able to synergistically combine the various computational intelligent techniques for attaining a superior performance. This gives an opportunity for bringing the advantages of various techniques into a single framework. It also provides the freedom to model the behavior of the system to be as competitive or coordinating, each having its own advantages and disadvantages.
Book Synopsis Intelligent Systems Design and Applications by : Ajith Abraham
Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer. This book was released on 2013-12-20 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of the Third International Conference on Intelligent Systems Design and Applications (ISDA 2003) held in Tulsa, USA, August 10-13. Current research in all areas of computational intelligence is presented including design of artificial neural networks, fuzzy systems, evolutionary algorithms, hybrid computing systems, intelligent agents, and their applications in science, technology, business and commerce. Main themes addressed by the conference are the architectures of intelligent systems, image, speech and signal processing, internet modeling, data mining, business and management applications, control and automation, software agents and knowledge management.
Book Synopsis Hybrid Artificial Intelligent Systems by : Emilio Corchado
Download or read book Hybrid Artificial Intelligent Systems written by Emilio Corchado and published by Springer. This book was released on 2011-05-25 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two LNAI volumes 6678 and 6679 constitute the proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011, held in Wroclaw, Poland, in May 2011. The 114 papers published in these proceedings were carefully reviewed and selected from 241 submissions. They are organized in topical sessions on hybrid intelligence systems on logistics and intelligent optimization; metaheuristics for combinatorial optimization and modelling complex systems; hybrid systems for context-based information fusion; methods of classifier fusion; intelligent systems for data mining and applications; systems, man, and cybernetics; hybrid artificial intelligence systems in management of production systems; hybrid artificial intelligent systems for medical applications; and hybrid intelligent approaches in cooperative multi-robot systems.
Book Synopsis Hybrid Artificial Intelligence Systems by : Emilio Corchado
Download or read book Hybrid Artificial Intelligence Systems written by Emilio Corchado and published by Springer. This book was released on 2008-09-30 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Third International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2008) presented the most recent developments in the dynamically expanding realm of symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques. Hybrid intelligent systems have become incre- ingly popular given their capabilities to handle a broad spectrum of real-world c- plex problems which come with inherent imprecision, uncertainty and vagueness, high-dimensionality, and non stationarity. These systems provide us with the oppor- nity to exploit existing domain knowledge as well as raw data to come up with prom- ing solutions in an effective manner. Being truly multidisciplinary, the series of HAIS workshops offers a unique research forum to present and discuss the latest theoretical advances and real-world applications in this exciting research field. This volume of Lecture Notes on Artificial Intelligence (LNAI) includes accepted papers presented at HAIS 2008 held in University of Burgos, Burgos, Spain, Sept- ber 2008 The global purpose of HAIS conferences has been to form a broad and interdis- plinary forum for hybrid artificial intelligence systems and associated learning pa- digms, which are playing increasingly important roles in a large number of application areas. Since its first edition in Brazil in 2006, HAIS has become an important forum for researchers working on fundamental and theoretical aspects of hybrid artificial intel- gence systems based on the use of agents and multiagent systems, bioinformatics and bio-inspired models, fuzzy systems, artificial vision, artificial neural networks, opti- zation models and alike.
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 Hybrid Computational Intelligence by : Siddhartha Bhattacharyya
Download or read book Hybrid Computational Intelligence written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2020-03-05 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics
