Details

Introduction to Multi-Agent Systems.- Human-Computer Interactions through Multi-Agent Systems: Design and Implementations.- Social Behavior and Reasoning Through Multi Agent Systems.- Prevalence of Multi Agent System Consensus in Cloud Computing.- The Role of Multi Agent Systems in IoT.- Agent based Human Supportive Applications.- Multi Agent System Applications in Healthcare: A Survey.- Applications of Multi Agent Systems in Intelligent Healthcare.- Multi Agent Reinforcement Learning for Stock Market Strategy Analysis.- Multi-Agent Systems: Future Initiatives.

<p><b>Dr. ShibaKali Gupta</b> is an assistant Professor of Computer Science and Engineering Department, University Institute of Technology, Burdwan University, West Bengal, India. He obtained his B.E. degree in Computer Science and Engineering from Burdwan University, West Bengal in 2005 and M.Tech degree in the same subject in 2007 from KIIT University, Orissa. He received Ph.D. in the field of multi agent system, Computer Science. His research interests include multi agent system, intelligent healthcare system, robot systems and swarm robotics. He is the editorial board member of different International Journals. He is an author/co-author of thirty five published articles in computer science and engineering field. He has published three book chapters and two edited books named “Intelligent Multimedia Data Analysis” and “Big Data Security” from De Gruyter Publication, Germany. He is the member of CSTA, IAENG.&nbsp;</p>

<p><b>Dr. Indradip Banerjee</b> received his Ph.D. in Engineeringfrom NIT, Durgapur. He has completed MCA, PGDCA, Master of Marketing Management and BCA (Hons.). Currently he is belongs to the Computer Science and Engineering Department of University Institute of Technology, The University of Burdwan. His areas of interest are Network Security, Image Processing and MAS. He has published nearly 35 research papers in International and National Journals and Conferences. His research interests include cryptography, steganography, big data and image processing.&nbsp; He has published 2 book chapters in springer and 1 edited book “Big Data Security” in Frontiers in Computational Intelligence by De Gruyter Publisher, Germany.&nbsp;&nbsp;</p>

<p><b>Dr. Siddhartha Bhattacharyya</b>&nbsp;[FRSA (UK), FIET (UK), FIEI (I), FIETE, LFOSI, SMIEEE, SMACM, SMIETI] is currently serving as the Principal of Rajnagar Mahavidyalaya, Birbhum, India. Prior to this, he was a Professor with the Department of Computer Science and Engineering, Christ University, Bengaluru, India. He also served as the Principal of the RCC Institute of Information Technology, Kolkata. He served as a Senior Research Scientist with the Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czech Republic. He is a full foreign member of the Russian Academy of Natural Sciences. He has co-authored six books, co-edited 76 books, and has authored or co-authored more than 300 research publications in international journals and conference proceedings. He holds 19 patents. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence, social networks, and quantum computing.</p><br>

The book presents latest multi-agent technologies in human-centered computing (HCC) to provide a new research direction to enrich the human socio computations. Nowadays, the research in the field of multi-agent system (MAS) has gained a wide spread recognition due to its interdisciplinary nature and a vast versatile application domain including engineering, social science, economics, mathematics, operational research, etc. It has been proved that agents in MAS are the most appropriate technological paradigm for providing the most optimal solution for different kinds of complex real world problems that may be industrial or it might be specifically related to social problems. Keeping these features in mind, we planned to tune the research of latest multi-agent technologies and tried to compose its effect on HCC corridor. The primary audience of this book are research students of computer science, information technology and it will be also very helpful for software professionals to get developmental ideas to boost their computing activities.

Discusses state-of-the-art techniques on multi-agent systems Presents case studies on real life problems Serves as a reference for researchers and practitioners in academia and industry