Distributed Artificial Intelligence: A Modern Approach

337 Pages·2021·47.64 MB·English

by  Satya Prakash Yadav (editor), Dharmendra Prasad Mahato (editor), Nguyen Thi Dieu Linh (editor)

Distributed Artificial
Intelligence
Internet of Everything (IoE): Security and Privacy Paradigm
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Distributed Artificial Intelligence
A Modern Approach
Edited by Satya Prakash Yadav, Dharmendra Prasad Mahato, and Nguyen Thi Dieu Linh
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Distributed Artificial
Intelligence
A Modern Approach
Edited by
Satya Prakash Yadav, Dharmendra Prasad Mahato,
and Nguyen Thi Dieu Linh
First edition published 2021
by CRC Press
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Library of Congress Cataloging‑in‑Publication Data
Names: Yadav, Satya Prakash, editor.
Title: Distributed artificial intelligence : a modern approach / edited by
Satya Prakash Yadav, Dharmendra Prasad Mahato and Nguyen Thi Dieu Linh.
Description: First edition. | Boca Raton : CRC Press, 2020. | Series:
Internet of everything (ioe): security and privacy paradigm | Includes
bibliographical references and index.
Identifiers: LCCN 2020028557 (print) | LCCN 2020028558 (ebook) | ISBN
9780367466657 (hbk) | ISBN 9781003038467 (ebk)
Subjects: LCSH: Distributed artificial intelligence.
Classification: LCC Q337 .D574 2020 (print) | LCC Q337 (ebook) | DDC
006.30285/436--dc23
LC record available at https://lccn.loc.gov/2020028557
LC ebook record available at https://lccn.loc.gov/2020028558
ISBN: 978-0-367-46665-7 (hbk)
ISBN: 978-1-003-03846-7 (ebk)
Typeset in Times
by Deanta Global Publishing Services, Chennai, India
Contents
Preface......................................................................................................................vii
Editors .......................................................................................................................ix
Contributors ..............................................................................................................xi
Chapter 1 Distributed Artificial Intelligence ........................................................1
Annu Mishra
Chapter 2 Intelligent Agents ...............................................................................19
Rashi Agarwal, Supriya Khaitan, and Shashank Sahu
Chapter 3 Knowledge-Based Problem-Solving: How AI and Big Data Are
Transforming Health Care .................................................................47
Raj Kumar Goel, Shweta Vishnoi, Chandra Shekhar Yadav,
and Pankaj Tyagi
Chapter 4 Distributed Artificial Intelligence for Document Retrieval ...............59
Ankur Seem, Arpit Kumar Chauhan, Rijwan Khan, and
Satya Prakash Yadav
Chapter 5 Distributed Consensus ........................................................................69
Satya Prakash Yadav
Chapter 6 DAI for Information Retrieval ...........................................................85
Annu Mishra and Satya Prakash Yadav
Chapter 7 Decision Procedures .........................................................................101
Aishwarya Gupta
Chapter 8 Cooperation through Communication in a Distributed Problem-
Solving Network ...............................................................................123
Anisha Singh, Akarshita Jain, and Bipin Kumar Rai
Chapter 9 Instantiating Descriptions of Organizational Structures .................141
Niharika Dhingra, Mahima Gupta, Neha Bhati, Pallavi
Kumari, and Rijwan Khan
v
vi Contents
Chapter 10 Agora Architecture ...........................................................................157
Nidhi Gupta, Shailesh Singh, and Sonia Gupta
Chapter 11 Test Beds for Distributed AI Research .............................................179
Shubhangi Sankhyadhar and Mohit Pandey
Chapter 12 Real-Time Framework Competitive Distributed Dilemma ..............195
Vijay Yadav, Raghuraj Singh, and 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
Naziya Hussain and Preeti Rani
Chapter 14 A Secure Electronic Voting System Using Decentralized
Computing ........................................................................................237
Dhruv Rawat, Amit Kumar, and Suresh Kumar
Chapter 15 DAI for Document Retrieval ............................................................251
Anuj Kumar, Satya Prakash Yadav, and Sugandha Mittal
Chapter 16 A Distributed Artificial Intelligence: The Future of AI ...................263
Pushpa Singh, Rajnesh Singh, Narendra Singh, and Murari
Kumar Singh
Chapter 17 Analysis of Hybrid Deep Neural Networks with Mobile Agents
for Traffic Management in Vehicular Adhoc Networks ...................277
G. Kiruthiga, G. Uma Devi, N. Yuvaraj, R. Arshath Raja, and
N.V. Kousik
Chapter 18 Data Science and Distributed AI ......................................................291
V. Radhika
Index ......................................................................................................................321
Preface
Distributed artificial intelligence (DAI) has emerged as a powerful paradigm for
representing and solving complex problems. DAI is the branch of AI concerned with
how to coordinate behavior among a collection of semi-autonomous problem-solving
agents: how they can coordinate their knowledge, goals, and plans to act together,
to solve joint problems, or to make individually or globally rational decisions in the
face of uncertainty and multiple, conflicting perspectives. Growth of this field has
been spurred by the advances in distributed computing environments and widespread
information connectivity. Although DAI started as a branch of artificial intelligence,
it has emerged as an independent research discipline in its own right, representing
a confluence of ideas from several disciplines. Distributed, coordinated systems of
problem-solvers are rapidly becoming practical partners in critical human problem-
solving environments, and DAI is a rapidly developing field of both application and
research, experiencing explosive growth around the world.
This book presents a collection of articles surveying several major recent devel-
opments in DAI. The book focuses on issues and challenges that arise in building
practical DAI systems in real-world settings and covers some solutions of the issues.
It provides a synthesis of recent thinking, both theoretical and applied, on major
problems of DAI.

vii

Editors
Satya Prakash Yadav is currently on the faculty of the Information Technology
Department, ABES Institute of Technology (ABESIT), Ghaziabad, India. He sub-
mitted 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 with more than 12 years of experience, he has published three books
(Programming in C, Programming in C++, and Blockchain and Cryptocurrency).
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, India. A prolific writer, Mr. Satya Prakash Yadav has published two pat-
ents and authored many research papers. He also has presented research papers at
many conferences in the areas of Image Processing and Programming. He is a lead
editor in the Science Publishing Group and Eureka Journals.
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 earned his AMIETE degree in Computer Science and
Engineering with distinction from the Institute of Electronics and Telecommunication
Engineers (IETE), India, in 2011. He earned his Master of Technology in Computer
Science and Engineering from Atal Bihari Vajpayee-Indian Institute of Information
Technology and Management Gwalior in 2013 and his Ph.D. in Computer Science
and Engineering from the Indian Institute of Technology (Banaras Hindu University),
Varanasi, India, in January 2018. His research interests include distributed comput-
ing, artificial intelligence, operating systems, databases, and modeling and simu-
lation. 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 presented at conferences such as
AINA, ICPP, ICDCN, and E-Science.
Nguyen Thi Dieu Linh, Ph.D., works in the Division of Electronics and
Telecommunication Engineering in Electronics and Information, Faculty of
Electronics Engineering Technology, Hanoi University of Industry, Vietnam
(HaUI). She has been the head of the department since 2015. She has more than
18 years of academic experience in electronics, IoT, Smart Garden, and telecom-
munication. She has authored or coauthored more than 21 research articles in jour-
nals, books, and conference proceedings. She earned her Ph.D. in Information and
Communication Engineering from Harbin Institute of Technology, Harbin, China, in
2013; her Master of Electronic Engineering from Le Quy Don Technical University,
Hanoi, Vietnam, in 2006 and her Bachelor of Electronic Engineering from HCMC
University of Technology and Education, Vietnam in 2004. She edited Artificial
ix