Agentic AI, AI Agents, and Quantum AI Agents

Sardar M. N. Islam (Naz) is a Professor at Victoria University, Australia. He is also a Distinguished Visiting Professor of Artificial Intelligence and a Distinguished Visiting Professor at the American University of Ras Al Khaimah (AURAK) from 2019 to 2021, an Adjunct Professor of Information Technology and Business at Armstrong Institute, Melbourne, Australia, 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 is a Senior Assistant Professor at Bennett University. He completed his postdoctoral work at Lincoln University College Malaysia and earned a PhD in ad hoc networks and an MTech (Gold Medalist) in computer science engineering. He is a 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, the Internet of Things (IoT), blockchain, edge and serverless computing.Meenu Gupta is a Professor and Head of Conferences and Research Outreach at the Computer Science and Engineering Department, University Institute of Engineering, Chandigarh University, India. She is pursuing a postdotoral fellowship Post Doc Fellowship from the Machine Intelligence Research Labs (MIR Lab), Auburn, Washington, USA. She earned a PhD 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 brain-machine interface (BMI).Rachna Jain is an Associate Professor at Bhagwan Parsuram Institute of Technology (GGSIPU). She worked as an Assistant Professor in the Computer Science Department at Bharati Vidyapeeth's College of Engineering, Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi, India, from August 2007 to August 2021. She earned a PhD from Banasthali Vidyapith, Radha Kishnpura, India, in computer science in 2017.She earned an ME degree in 2011 from Delhi College of Engineering (Delhi University) with specialisation in computer technology and applications. Her research interests include cloud computing, fuzzy logic, network and information security, swarm intelligence, big data and IoT, deep learning, and machine learning. She is listed aning the top 2% of scientists according to Stanford University rankings in 2022 and 2023.

• Part I: Foundations of Agentic AI and Intelligent Agents. 1. Introduction to Agentic AI, AI Agents and Autonomous Systems. 2. Fundamentals of Agent Architectures and Behaviors. 3. AI Agent Planning, Learning, and Adaptation. 4. Reinforcement Learning and Deep Multiagent Systems. Part II: Engineering, Deployment, and Responsible Agentic AI. 5. Developing AI Agents Using Python and Agent Platforms (e.g., SPADE, JADE). 6. Simulation and Deployment of Multiagent Systems in Real-world Environments. 7. Secure, Ethical, and Explainable AI Agents. 8. Case Studies in Robotics, Finance, and Cybersecurity. Part III: Quantum AI Agents: Foundations, Intelligence, and Applications. 9. Introduction to Quantum Computing for AI Agents. 10. Exploring Quantum Machine Learning Frameworks. 11. Quantum Machine Learning for Autonomous Agents. 12. Quantum Game Theory and Quantum Decision Systems. 13. Quantum Computing as a Catalyst for Agentic AI. 14. Quantum AI Agents in Smart Cities, Healthcare, and Logistics. 15. Ethical, Social, and Governance Issues in Quantum Agent Systems