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E-raamat: Distributed Artificial Intelligence: A Modern Approach [Taylor & Francis e-raamat]

Edited by (ABES Institute of Technology, India), Edited by (National Institute of Technology, India), Edited by (Hanoi University of Industry, Vietnam)
  • Formaat: 322 pages, 8 Tables, black and white; 112 Line drawings, black and white; 29 Halftones, black and white; 141 Illustrations, black and white
  • Sari: Internet of Everything IoE
  • Ilmumisaeg: 18-Dec-2020
  • Kirjastus: CRC Press
  • ISBN-13: 9781003038467
  • Taylor & Francis e-raamat
  • Hind: 240,04 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 342,91 €
  • Säästad 30%
  • Formaat: 322 pages, 8 Tables, black and white; 112 Line drawings, black and white; 29 Halftones, black and white; 141 Illustrations, black and white
  • Sari: Internet of Everything IoE
  • Ilmumisaeg: 18-Dec-2020
  • Kirjastus: CRC Press
  • ISBN-13: 9781003038467
"Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts"--

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents.

Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning.

The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.

Preface vii
Editors ix
Contributors xi
Chapter 1 Distributed Artificial Intelligence
1(18)
Annu Mishra
Chapter 2 Intelligent Agents
19(28)
Rashi Agarwal
Supriya Khaitan
Shashank Sahu
Chapter 3 Knowledge-Based Problem-Solving: How AI and Big Data Are Transforming Health Care
47(12)
Raj Kumar Goel
Shweta Vishnoi
Chandra Shekhar Yadav
Pankaj Tyagi
Chapter 4 Distributed Artificial Intelligence for Document Retrieval
59(10)
Ankur Seem
Arpit Kumar Chauhan
Rijwan Khan
Satya Prakash Yadav
Chapter 5 Distributed Consensus
69(16)
Satya Prakash Yadav
Chapter 6 DAI for Information Retrieval
85(16)
Annu Mishra
Satya Prakash Yadav
Chapter 7 Decision Procedures
101(22)
Aishwarya Gupta
Chapter 8 Cooperation through Communication in a Distributed Problem-Solving Network
123(18)
Anisha Singh
Akarshita Jain
Bipin Kumar Rai
Chapter 9 Instantiating Descriptions of Organizational Structures
141(16)
Niharika Dhingra
Mahima Gupta
Neha Bhati
Pallavi Kumari
Rijwan Khan
Chapter 10 Agora Architecture
157(22)
Nidhi Gupta
Shailesh Singh
Sonia Gupta
Chapter 11 Test Beds for Distributed AI Research
179(16)
Shubhangi Sankhyadhar
Mohit Pandey
Chapter 12 Real-Time Framework Competitive Distributed Dilemma
195(22)
Vijay Yadav
Raghuraj Singh
Vibhash Yadav
Chapter 13 Comparative Studied Based on Attack Resilient and Efficient Protocol with Intrusion Detection System Based on Deep Neural Network for Vehicular System Security
217(20)
Naziya Hussain
Preeti Rani
Chapter 14 A Secure Electronic Voting System Using Decentralized Computing
237(14)
Dhruv Rawat
Amit Kumar
Suresh Kumar
Chapter 15 DAI for Document Retrieval
251(12)
Anuj Kumar
Satya Prakash Yadav
Sugandha Mittal
Chapter 16 A Distributed Artificial Intelligence: The Future of AI
263(14)
Pushpa Singh
Rajnesh Singh
Narendra Singh
Murari Kumar Singh
Chapter 17 Analysis of Hybrid Deep Neural Networks with Mobile Agents for Traffic Management in Vehicular Adhoc Networks
277(14)
G. Kiruthiga
G. Uma Devi
N. Yuvaraj
R. Arshath Raja
N.V. Kousik
Chapter 18 Data Science and Distributed AI
291(30)
V. Radhika
Index 321
Satya Prakash Yadav is currently the faculty of the Information Technology Department, ABES Institute of Technology (ABESIT), Ghaziabad (India). He has submitted his Ph.D. thesis entitled "Fusion of Medical Images in Wavelet Domain" to Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). A seasoned academician having more than 12 years of experience, he has published three books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Mr. Satya Prakash Yadav has published two patents and authored many research papers in web of science indexed journals. Additionally, he has presented research papers at many conferences in the areas of Image Processing and Programming, such C, Data Structure, C++, C# and Java. Also, he is a lead editor in Science Publishing Group,(U.S.A), and Eureka Journals , Pune ( India).

Dharmendra Prasad Mahato is currently an assistant professor in the Department of Computer Science and Engineering at National Institute of Technology Hamirpur, Himachal Pradesh, India. He received his AMIETE degree in Computer Science and Engineering with distinction from the Institute of Electronics and Telecommunication Engineers (IETE), India, in 2011. He received his Master of Technology in Computer Science and Engineering from Atal Bihari Vajpayee-Indian Institute of Information Technology and Management Gwalior in 2013 and Ph.D. in Computer Science and Engineering from Indian Institute of Technology (Banaras Hindu University), Varanasi, India, in January 2018. His research interests include distributed computing, artificial intelligence, operating systems, databases and modeling and simulation. He has published in journals such as Applied Soft Computing, Swarm and Evolutionary Computation, ISA Transactions, Cluster Computing, Concurrency and Computation: Practice and Experience, and conferences such as AINA, ICPP, ICDCN, and E-Science.

Nguyen Thi Dieu Linh, Ph.D, is working in the Division of Electronics and Telecommunication Engineering in Electronics and Information, Faculty of Electronics Engineering Technology, Hanoi University of Industry, Vietnam (HaUI). Currently She is heading the department since 2015. She has more than 18 years of academic experience in electronics, IoT, Smart Garden and telecommunication. She has authored or co-authored more than 21 research articles that are published in journals, books and conference proceedings. She received Ph.D in Information and Communication Engineering from Harbin Institute of Technology, Harbin, China in 2013; Master of Electronic Engineering from Le Quy Don Technical University, Hanoi, Vietnam in 2006 and Bachelor of Electronic Engineering from HCMC University of Technology and Education, Vietnam in 2004. She is an editor for "Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches" and "Distributed Artificial Intelligence: A Modern Approach" publisher by Taylor & Francis Group, LLC, USA. She is also board member with International Journal of Hyperconnectivity and the Internet of Things (IJHIoT) IGI-Global, USA, Information Technology Journal, Mobile Networks and Application Journal and some other reputed journal and international conferences.