1st Edition

Agentic AI, AI Agents, and Quantum AI Agents

440 Pages 66 B/W Illustrations
by Auerbach Publications

Agentic AI, AI Agents and Quantum AI Agents examines the evolution of intelligent systems from rule-based systems to self-reliant systems with adaptive capabilities to make decisions in complicated environments. The book first introduces agent architectures, learning, planning and multi-agent systems. It then introduces practical information, modern technologies and deployment mechanisms of AI... Read more

Part I: Foundations of Agentic AI and Intelligent Agents

1. Introduction to Agentic AI, AI Agents and Autonomous Systems
Mohammed Waseem Ashfaque, Ghaliya AlFarsi, Yasser Wazery, Baidaa Hamza Khudayer, Sohail Iqbal Malik, and Charansing N. Kayte

2. Fundamentals of Agent Architectures and Behaviors
Nishikant Surwade, Bahubali Shiragapur, Vijaylaxmi Shiragapur, and Hanumanath Sastry

3. AI Agent Planning, Learning, and Adaptation
Hemant P. and Meera Narvekar

4. Reinforcement Learning and Deep Multiagent Systems
Shubham Gupta

Part II: Engineering, Deployment, and Responsible Agentic AI

5. Developing AI Agents Using Python and Agent Platforms (e.g., SPADE, JADE)
Gitanjali Gupta, Raman Kumar, Kingsley Osazuwa, Abhishek Kumar

6. Simulation and Deployment of Multiagent Systems in Real-world Environments
Shubham Gupta

7. Secure, Ethical, and Explainable AI Agents
Mohammad Shahnawaz Shaikh, Jaideep Sharma, Asif Iqbal, Namrata Bhatt, Vivek Tiwari and Bhavesh Atulbhai Vaghela

8. Case Studies in Robotics, Finance, and Cybersecurity
Babita Verma, Syeda Farhath Begum, Farheen Sultana, M.Thirupathi Reddy, and Satrughan Kumar

Part III: Quantum AI Agents: Foundations, Intelligence, and Applications

9. Introduction to Quantum Computing for AI Agents
Palvi Sharma, Rakesh Kumar, and Meenu Gupta

10. Exploring Quantum Machine Learning Frameworks
Balajee Maram

11. Quantum Machine Learning for Autonomous Agents
Meenakshi Munjal and Rajanish Kumar Kaushal

12. Quantum Game Theory and Quantum Decision Systems
Shivangi J. Gandhi, Madhuri R. Chopade, and Twinkle K. Patel

13. Quantum Computing as a Catalyst for Agentic AI
Satish Kumar Satti, Suganya Devi K., Naresh Babu Muppalaneni, Kiran Babu Macha

14. Quantum AI Agents in Smart Cities, Healthcare, and Logistics
Mohammad Shahnawaz Shaikh, Deepak Sharma, Akshay Patidar, Dinesh Kumar Cholkar

15. Ethical, Social, and Governance Issues in Quantum Agent Systems
Rahul Sharma, Subhash C. S.

Biography

Sardar M. N. Islam (Naz) is a Victoria University, Australia professor. He is also a Distinguished Visiting Professor of Artificial Intelligence and a Distinguished Visiting Professor of AURAK 2019 – 2021, an Adjunct Professor of IT and Business at Armstrong Institute, Melbourne, and Editor-in-Chief of “International Transactions on Artificial Intelligence. His academic work has gained international acclaim, resulting in considerable Honours and Awards, many visiting or adjunct professorial appointments in different countries, many appointments in editorial roles of journals, and a large number of keynote speeches at international conferences in several countries.

Hemant Kumar Saini, working as a Assistant professor at Bennett University. He is Post Doc from Lincoln University College Malaysia and finished the Ph.D. in the AdHoc Networks and M.Tech(Gold Medalist) in CSE . He is a Professional Red Hat Certified Engineer. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. His research includes digital transformation technologies such as Artificial Intelligence (AI), Quantum Computing, Internet of Things (IoT), Blockchain, Edge and Serverless computing.

Meenu Gupta is a Professor and Head Conferences; Research Outreach at the UIE-CSE Department, Chandigarh University, India. She is pursuing her Post Doc Fellowship from the MIR lab, USA. She has completed her Ph.D. in Computer Science and Engineering from Ansal University, Gurgaon, India, in 2020. Her research areas cover Machine Learning, Intelligent Systems, and Data mining, with a specific interest in Artificial Intelligence, Image Processing and Analysis, Smart Cities, Data Analysis, and Human/Brain-Machine Interaction (BMI).

Rachna Jain, currently working as Associate Professor in Bhagwan Parsuram Institute of Technology (GGSIPU) since Aug 2021.She has worked as Assistant Professor(Computer Science Department) in Bharati Vidyapeeth College of Engineering (GGSIPU) from Aug 2007-Aug 2021.She completed her PHD from Banasthali Vidyapith in Computer Science in 2017.She received ME degree in 2011 from Delhi College of Engineering (Delhi University) with specialisation in Computer Technology and Applications. Her current research interests are Cloud Computing, Fuzzy Logic, Network and information security, Swarm Intelligence, Big Data and IoT, Deep Learning and Machine Learning. She is listed in Top 2% Scientists as per Stanford University (2022, 2023).