Agentic AI, AI Agents, and Quantum AI Agents

1. Auflage 2026
ISBN: 978-1-041-27303-5
Verlag: Taylor & Francis Ltd

Buch, Englisch, 440 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Innovations in Intelligent Internet of Everything IoE

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 agents and stresses the importance of safety, ethic and explainability.

Readers will become acquainted with the structure, training, implementation, and control of smart agents in today's artificial intelligence environments, and with the application of quantum computing to improve agent intelligence and the ability to make decisions.

This book is intended for researchers, post-graduate students, AI practitioners, software engineers, and technology specialists interested in obtaining a detailed overview of autonomous AI systems and their integration with future quantum technologies. This book would also be relevant to educators, innovators, and policymakers interested in the development of responsible AI, its governance and the profound impact of smart and quantum-enhanced agents throughout the industry and society.

Key Features

- An in-depth coverage of Agentic AI, AI Agents, Multi-Agent Systems and Quantum AI Agents.

- Balanced theory, implementation, best practices and real-world examples.

- Specific attention given to secure, ethical, explainable and responsible Autonomous AI systems.

- Extensive discussion on quantum machine learning, quantum decision systems and quantum-enabled systems with applications in health, smart city, logistics, finance and security.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Islam, Sardar M. N.

Saini, Hemant Kumar

Gupta, Meenu

Jain, Rachna

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing

Inhaltsverzeichnis

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

Über Autor(innen)

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).