Distributed Intelligent Systems
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Author |
: Abdellah Bedrouni |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 185 |
Release |
: 2009-08-12 |
ISBN-10 |
: 9780387777023 |
ISBN-13 |
: 0387777024 |
Rating |
: 4/5 (23 Downloads) |
Synopsis Distributed Intelligent Systems by : Abdellah Bedrouni
Distributed Intelligent Systems: A Coordination Perspective comprehensively answers commonly asked questions about coordination in agent-oriented distributed systems. Characterizing the state-of-the-art research in the field of coordination with regard to the development of distributed agent-oriented systems is a particularly complex endeavour; while existing books deal with specific aspects of coordination, the major contribution of this book lies in the attempt to provide an in-depth review covering a wide range of issues regarding multi-agent coordination in Distributed Artificial Intelligence. Key features: Unveils the lack of coherence and order that characterizes the area of research pertaining to coordination of distributed intelligent systems Examines coordination models, frameworks, strategies and techniques to enable the development of distributed intelligent agent-oriented systems Provides specific recommendations to realize more widespread deployment of agent-based systems
Author |
: Mohamed Elhoseny |
Publisher |
: Springer Nature |
Total Pages |
: 841 |
Release |
: 2022-06-27 |
ISBN-10 |
: 9783030642587 |
ISBN-13 |
: 3030642585 |
Rating |
: 4/5 (87 Downloads) |
Synopsis Distributed Sensing and Intelligent Systems by : Mohamed Elhoseny
This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be held in The National School of Applied Sciences of Agadir, Ibn Zohr University, Agadir, Morocco on February 01-03, 2020. ICDSIS2020 is co-organized by Computer Vision and Intelligent Systems Lab, University of North Texas, USA as a scientific collaboration event with The National School of Applied Sciences of Agadir, Ibn Zohr University. ICDSIS2020 aims to foster students, researchers, academicians and industry persons in the field of Computer and Information Science, Intelligent Systems, and Electronics and Communication Engineering in general. The volume collects contributions from leading experts around the globe with the latest insights on emerging topics, and includes reviews, surveys, and research chapters covering all aspects of distributed sensing and intelligent systems. The volume is divided into 5 key sections: Distributed Sensing Applications; Intelligent Systems; Advanced theories and algorithms in machine learning and data mining; Artificial intelligence and optimization, and application to Internet of Things (IoT); and Cybersecurity and Secure Distributed Systems. This conference proceeding is an academic book which can be read by students, analysts, policymakers, and regulators interested in Distributed Sensing, Smart Network approaches, Smart Cities, IoT Applications, and Intelligent Applications. It is written in plain and easy language, and describes new concepts when they appear first so that a reader without prior background of the field finds it readable. The book is primarily intended for research students in sensor networks and IoT applications (including intelligent information systems, and smart sensors applications), academics in higher education institutions including universities and vocational colleges, policy makers and legislators.
Author |
: Ming Rao |
Publisher |
: CRC Press |
Total Pages |
: 342 |
Release |
: 1996-11-15 |
ISBN-10 |
: 9056995103 |
ISBN-13 |
: 9789056995102 |
Rating |
: 4/5 (03 Downloads) |
Synopsis Integrated Distributed Intelligent Systems for Engineering Design by : Ming Rao
Presents the philosophy, methodology, techniques, and applications of IDIS for engineering design. Looks at recent research, and details a five-step problem-solving strategy of problem definition, conceptual design, parameter design, design analysis, and design evaluation. Describes industrial applications of IDIS, including the design of a mechanical transmission, a heat exchanger network, and a process control system. For graduate courses on engineering design, artificial intelligence, and computer integrated manufacturing. No index. Annotation copyrighted by Book News, Inc., Portland, OR
Author |
: Rajkumar Buyya |
Publisher |
: Springer |
Total Pages |
: 310 |
Release |
: 2014-09-02 |
ISBN-10 |
: 9783319112275 |
ISBN-13 |
: 3319112279 |
Rating |
: 4/5 (75 Downloads) |
Synopsis Intelligent Distributed Computing by : Rajkumar Buyya
This book contains a selection of refereed and revised papers of the Intelligent Distributed Computing Track originally presented at the third International Symposium on Intelligent Informatics (ISI-2014), September 24-27, 2014, Delhi, India. The papers selected for this Track cover several Distributed Computing and related topics including Peer-to-Peer Networks, Cloud Computing, Mobile Clouds, Wireless Sensor Networks, and their applications.
Author |
: Abdellah Bedrouni |
Publisher |
: Springer |
Total Pages |
: 181 |
Release |
: 2009-08-21 |
ISBN-10 |
: 0387777016 |
ISBN-13 |
: 9780387777016 |
Rating |
: 4/5 (16 Downloads) |
Synopsis Distributed Intelligent Systems by : Abdellah Bedrouni
Distributed Intelligent Systems: A Coordination Perspective comprehensively answers commonly asked questions about coordination in agent-oriented distributed systems. Characterizing the state-of-the-art research in the field of coordination with regard to the development of distributed agent-oriented systems is a particularly complex endeavour; while existing books deal with specific aspects of coordination, the major contribution of this book lies in the attempt to provide an in-depth review covering a wide range of issues regarding multi-agent coordination in Distributed Artificial Intelligence. Key features: Unveils the lack of coherence and order that characterizes the area of research pertaining to coordination of distributed intelligent systems Examines coordination models, frameworks, strategies and techniques to enable the development of distributed intelligent agent-oriented systems Provides specific recommendations to realize more widespread deployment of agent-based systems
Author |
: Balwinder Baj |
Publisher |
: World Scientific Publishing Company |
Total Pages |
: 0 |
Release |
: 2024-01-07 |
ISBN-10 |
: 9811279527 |
ISBN-13 |
: 9789811279522 |
Rating |
: 4/5 (27 Downloads) |
Synopsis Distributed Intelligent Circuits and Systems by : Balwinder Baj
The main objective of this book is to provide insights into recent advances in distributed intelligent circuits, systems and their applications. Distributed intelligence is the key enabler for innovations in machine-to-machine communications. The innovations are directed towards keeping existing algorithms as the base and developing new intelligent systems by employing smart technologies. Artificial intelligence (AI) and, more specifically, deep learning (DL) are receiving significant attention in assisting doctors in the detection of disease patterns without much human intervention. In agriculture, robots automate slow, repetitive and dull tasks, allowing farmers to focus more on improving overall production yields.The evolving trends point to the interface of artificial intelligence with machines being a factor in enhancing the decision-making capabilities of smart machines. This book provides relevant theoretical frameworks that include basic models, algorithms, circuit designs and the latest developments in experimental aspects in the field of distributed intelligence systems for industrial applications. The challenges encountered in the development of models for distributed intelligence systems for environmental monitoring are mitigated with artificial intelligence, machine learning and deep learning. This book identifies challenges and helps in applying solutions in the development of advanced intelligent systems for environmental monitoring.
Author |
: M. Rao |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 338 |
Release |
: 1993-07-31 |
ISBN-10 |
: 0412543702 |
ISBN-13 |
: 9780412543708 |
Rating |
: 4/5 (02 Downloads) |
Synopsis Integrated Distributed Intelligent Systems in Manufacturing by : M. Rao
Intelligent Manufacturing is a new disciplinary field which applies computer science, artificial intelligence, mechanical engineering and systems science to industrial manufacturing processes. This book presents a new integration architecture for implementing real-time distributed intelligent manufacturing systems.
Author |
: Fuhua Oscar Lin |
Publisher |
: IGI Global |
Total Pages |
: 342 |
Release |
: 2005-01-01 |
ISBN-10 |
: 1591405009 |
ISBN-13 |
: 9781591405009 |
Rating |
: 4/5 (09 Downloads) |
Synopsis Designing Distributed Learning Environments with Intelligent Software Agents by : Fuhua Oscar Lin
Designing Distributed Learning Environments with Intelligent Software Agents reports on the most recent advances in agent technologies for distributed learning. Chapters are devoted to the various aspects of intelligent software agents in distributed learning, including the methodological and technical issues on where and how intelligent agents can contribute to meeting distributed learning needs today and tomorrow. This book benefits the AI (artificial intelligence) and educational communities in their research and development, offering new and interesting research issues surrounding the development of distributed learning environments in the Semantic Web age. In addition, the ideas presented in the book are applicable to other domains such as Agent-Supported Web Services, distributed business process and resource integration, computer-supported collaborative work (CSCW) and e-Commerce.
Author |
: Crina Grosan |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 456 |
Release |
: 2011-07-29 |
ISBN-10 |
: 9783642210044 |
ISBN-13 |
: 364221004X |
Rating |
: 4/5 (44 Downloads) |
Synopsis Intelligent Systems by : Crina Grosan
Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.
Author |
: Abdellah Bedrouni |
Publisher |
: Springer |
Total Pages |
: 181 |
Release |
: 2008-11-01 |
ISBN-10 |
: 0387569316 |
ISBN-13 |
: 9780387569314 |
Rating |
: 4/5 (16 Downloads) |
Synopsis Distributed Intelligent Systems by : Abdellah Bedrouni
Distributed Intelligent Systems: A Coordination Perspective comprehensively answers commonly asked questions about coordination in agent-oriented distributed systems. Characterizing the state-of-the-art research in the field of coordination with regard to the development of distributed agent-oriented systems is a particularly complex endeavour; while existing books deal with specific aspects of coordination, the major contribution of this book lies in the attempt to provide an in-depth review covering a wide range of issues regarding multi-agent coordination in Distributed Artificial Intelligence. Key features: Unveils the lack of coherence and order that characterizes the area of research pertaining to coordination of distributed intelligent systems Examines coordination models, frameworks, strategies and techniques to enable the development of distributed intelligent agent-oriented systems Provides specific recommendations to realize more widespread deployment of agent-based systems