Distributed Artificial Intelligence

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Publisher : Elsevier
ISBN 13 : 0323137598
Total Pages : 385 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Distributed Artificial Intelligence by : Michael N. Huhns

Download or read book Distributed Artificial Intelligence written by Michael N. Huhns and published by Elsevier. This book was released on 2012-12-02 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Artificial Intelligence presents a collection of papers describing the state of research in distributed artificial intelligence (DAI). DAI is concerned with the cooperative solution of problems by a decentralized group of agents. The agents may range from simple processing elements to complex entities exhibiting rational behavior. The book is organized into three parts. Part I addresses ways to develop control abstractions that efficiently guide problem-solving; communication abstractions that yield cooperation; and description abstractions that result in effective organizational structure. Part II describes architectures for developing and testing DAI systems. Part III discusses applications of DAI in manufacturing, office automation, and man-machine interactions. This book is intended for researchers, system developers, and students in artificial intelligence and related disciplines. It can also be used as a reference for students and researchers in other disciplines, such as psychology, philosophy, robotics, and distributed computing, who wish to understand the issues of DAI.

Foundations of Distributed Artificial Intelligence

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 9780471006756
Total Pages : 598 pages
Book Rating : 4.0/5 (67 download)

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Book Synopsis Foundations of Distributed Artificial Intelligence by : G. M. P. O'Hare

Download or read book Foundations of Distributed Artificial Intelligence written by G. M. P. O'Hare and published by John Wiley & Sons. This book was released on 1996-04-05 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Artificial Intelligence (DAI) is a dynamic area of research and this book is the first comprehensive, truly integrated exposition of the discipline presenting influential contributions from leaders in the field. Commences with a solid introduction to the theoretical and practical issues of DAI, followed by a discussion of the core research topics--communication, coordination, planning--and how they are related to each other. The third section describes a number of DAI testbeds, illustrating particular strategies commissioned to provide software environments for building and experimenting with DAI systems. The final segment contains contributions which consider DAI from different perspectives.

Readings in Distributed Artificial Intelligence

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 1483214443
Total Pages : 668 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Readings in Distributed Artificial Intelligence by : Alan H. Bond

Download or read book Readings in Distributed Artificial Intelligence written by Alan H. Bond and published by Morgan Kaufmann. This book was released on 2014-06-05 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.

Distributed Artificial Intelligence

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Publisher : CRC Press
ISBN 13 : 9780367638825
Total Pages : 0 pages
Book Rating : 4.6/5 (388 download)

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Book Synopsis Distributed Artificial Intelligence by : Dharmendra Prasad Mahato

Download or read book Distributed Artificial Intelligence written by Dharmendra Prasad Mahato and published by CRC Press. This book was released on 2024-10-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a deeper understanding of the relevant aspects of AI and DAI impacting each other's efficacy for better output. It will bridge the gap between research solutions and key technologies related to data analytics to ensure Industry 4.0 requirements and at the same time ensure proper network communication and security of big data.

Multiagent Systems

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Publisher : MIT Press
ISBN 13 : 0262018896
Total Pages : 917 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Multiagent Systems by : Gerhard Weiss

Download or read book Multiagent Systems written by Gerhard Weiss and published by MIT Press. This book was released on 2013-03-08 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook.

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

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Author :
Publisher : Springer Nature
ISBN 13 : 3031015436
Total Pages : 71 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence by : Nikos Kolobov

Download or read book A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence written by Nikos Kolobov and published by Springer Nature. This book was released on 2022-06-01 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.

Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications

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Author :
Publisher : IGI Global
ISBN 13 : 1605661457
Total Pages : 450 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications by : Sugumaran, Vijayan

Download or read book Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications written by Sugumaran, Vijayan and published by IGI Global. This book was released on 2008-12-31 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a catalyst for emerging research in intelligent information, specifically artificial intelligent technologies and applications to assist in improving productivity in many roles such as assistants to human operators and autonomous decision-making components of complex systems"--Provided by publisher.

Multi-agent Systems

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Author :
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 536 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Multi-agent Systems by : Jacques Ferber

Download or read book Multi-agent Systems written by Jacques Ferber and published by Addison-Wesley Professional. This book was released on 1999 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, Jacques Ferber has brought together all the recent developments in the field of multi-agent systems - an area that has seen increasing interest and major developments over the last few years. The author draws on work carried out in various disciplines, including information technology, sociology and cognitive psychology to provide a coherent and instructive picture of the current state-of-the-art. The book introduces and defines the fundamental concepts that need to be understood, clearly describes the work that has been done, and invites readers to reflect upon the possibilities of the future.

Distributed Machine Learning Patterns

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Author :
Publisher : Manning
ISBN 13 : 9781617299025
Total Pages : 375 pages
Book Rating : 4.2/5 (99 download)

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Book Synopsis Distributed Machine Learning Patterns by : Yuan Tang

Download or read book Distributed Machine Learning Patterns written by Yuan Tang and published by Manning. This book was released on 2022-04-26 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical patterns for scaling machine learning from your laptop to a distributed cluster. Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you’ll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Distributed Computing and Artificial Intelligence

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642287654
Total Pages : 783 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Distributed Computing and Artificial Intelligence by : Sigeru Omatu

Download or read book Distributed Computing and Artificial Intelligence written by Sigeru Omatu and published by Springer Science & Business Media. This book was released on 2012-03-23 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Symposium on Distributed Computing and Artificial Intelligence 2012 (DCAI 2012) is a stimulating and productive forum where the scientific community can work towards future cooperation in Distributed Computing and Artificial Intelligence areas. This conference is a forum in which applications of innovative techniques for solving complex problems will be presented. Artificial intelligence is changing our society. Its application in distributed environments, such as the internet, electronic commerce, environment monitoring, mobile communications, wireless devices, distributed computing, to mention only a few, is continuously increasing, becoming an element of high added value with social and economic potential, in industry, quality of life, and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in both universities and businesses. The exchange of ideas between scientists and technicians from both the academic and industry sector is essential to facilitate the development of systems that can meet the ever increasing demands of today's society. This edition of DCAI brings together past experience, current work, and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the Bioinformatics, Intelligent System and Educational Technology Research Group (http://bisite.usal.es/) of the University of Salamanca. The present edition will be held in Salamanca, Spain, from 28th to 30th March 2012.

Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection

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Publisher : CRC Press
ISBN 13 : 1000454592
Total Pages : 513 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection by : Almoataz Y. Abdelaziz

Download or read book Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection written by Almoataz Y. Abdelaziz and published by CRC Press. This book was released on 2021-10-21 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects. FEATURES Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues Presents an introduction to enhanced electricity system analysis using decision-making tools Covers AI applications in different protective relaying functions Discusses issues and challenges in the protection of transmission and distribution systems Includes a dedicated chapter on case studies and applications This book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids.

Decentralized A.I

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Publisher : Elsevier
ISBN 13 : 044459924X
Total Pages : 272 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Decentralized A.I by : Y. Demazeau

Download or read book Decentralized A.I written by Y. Demazeau and published by Elsevier. This book was released on 1990-07-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much research in Artificial Intelligence deals with a single agent having complete control over the world. A variation of this is Distributed AI (DAI), which is concerned with the collaborative solution of global problems by a distributed group of entities. This book deals with Decentralized AI (DzAI), which is concerned with the activity of an autonomous agent in a multi-agent world. The word ``agent'' is used in a broad sense, to designate an intelligent entity acting rationally and intentionally with respect to its goals and the current state of its knowledge. A number of these agents coexist and may collaborate with other agents in a common world; each agent may accomplish its own tasks, or cooperate with other agents to perform a personal or global task. The agents have imperfect knowledge about each other and about their common world, which they can update either through perception of the world, or by communication with each other.The papers were originally presented at a workshop held at King's College, Cambridge, and have been revised for this book.

Distributed Computing and Artificial Intelligence, 13th International Conference

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Author :
Publisher : Springer
ISBN 13 : 9783319401614
Total Pages : 0 pages
Book Rating : 4.4/5 (16 download)

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Book Synopsis Distributed Computing and Artificial Intelligence, 13th International Conference by : Sigeru Omatu

Download or read book Distributed Computing and Artificial Intelligence, 13th International Conference written by Sigeru Omatu and published by Springer. This book was released on 2016-06-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 13th International Symposium on Distributed Computing and Artificial Intelligence 2016 (DCAI 2016) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Sevilla (Spain), Osaka Institute of Technology (Japan), and the Universiti Teknologi Malaysia (Malaysia)

Distributed Computing and Artificial Intelligence, 17th International Conference

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Author :
Publisher : Springer Nature
ISBN 13 : 3030530361
Total Pages : 350 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Distributed Computing and Artificial Intelligence, 17th International Conference by : Yucheng Dong

Download or read book Distributed Computing and Artificial Intelligence, 17th International Conference written by Yucheng Dong and published by Springer Nature. This book was released on 2020-08-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. DCAI 2020 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 83 papers were submitted to main track and special sessions, by authors from 26 different countries representing a truly “wide area network” of research activity. The DCAI’20 technical program has selected 35 papers and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L'Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Armundia Group, EurAI, AEPIA, APPIA, CINI, OIT, UGR, HU, SCU, USAL, AIR Institute and UNIVAQ).

Advances in Distributed Computing and Machine Learning

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Publisher : Springer Nature
ISBN 13 : 981154218X
Total Pages : 526 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Distributed Computing and Machine Learning by : Asis Kumar Tripathy

Download or read book Advances in Distributed Computing and Machine Learning written by Asis Kumar Tripathy and published by Springer Nature. This book was released on 2020-06-11 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.

Distributed Intelligent Systems

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Publisher : Springer
ISBN 13 : 9780387777016
Total Pages : 181 pages
Book Rating : 4.7/5 (77 download)

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Book Synopsis Distributed Intelligent Systems by : Abdellah Bedrouni

Download or read book Distributed Intelligent Systems written by Abdellah Bedrouni and published by Springer. This book was released on 2009-08-21 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Artificial Intelligence in the Age of Neural Networks and Brain Computing

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Author :
Publisher : Academic Press
ISBN 13 : 0323958168
Total Pages : 398 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence in the Age of Neural Networks and Brain Computing by : Robert Kozma

Download or read book Artificial Intelligence in the Age of Neural Networks and Brain Computing written by Robert Kozma and published by Academic Press. This book was released on 2023-10-11 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. - Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN - Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making - Edited by high-level academics and researchers in intelligent systems and neural networks - Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks