Autonomous Intelligence

Designing the Future of Agentic Systems

1st Edition - January 1, 2027
Latest edition
Editors: Shubham Mahajan, Akshat Agrawal
Language: English

Autonomous Intelligence: Designing the Future of Agentic Systems provides insights on how autonomous technologies—from robots to AI-driven systems— are transforming indus… Read more

Description

Autonomous Intelligence: Designing the Future of Agentic Systems provides insights on how autonomous technologies—from robots to AI-driven systems— are transforming industries and daily life. The book explores how these intelligent agents operate independently, making decisions and taking actions without constant human intervention. Through clear explanations and real-world examples, the book serves as a gateway for both novices and experts as it simplifies the complexities of autonomous systems. Sections cover Foundations of AI and Autonomy; Understanding Agentic Intelligence; Technology Enablers and Architectures; Design, Safety, and Deployment; Sectoral Applications of Agentic AI; Societal, Ethical, and Future Considerations.

The book also considers how these technologies function, while also addressing concerns about their integration, limitations, potential benefits, and possible risks. In a rapidly evolving field, the book looks at latest trends, applications, and research, and at the ethical and legal considerations, especially in areas like employment, privacy, and accountability.

Key features

Explains the concepts behind agentic intelligence and autonomous systems, particularly how they operate without constant human intervention
Offers case studies from various industries to demonstrate how autonomous systems are used today
Combines insights from technology, ethics, policy, and business to offer a cross-disciplinary perspective
Discusses emerging innovations and the future potential of agentic intelligence
Considers the ethical and social considerations of agentic intelligence to help the reader think critically about the broader impact of these technologies on society

Readership

Graduate and Postgraduate Students pursuing studies in AI, Machine Learning, Robotics, Cyber-Physical Systems, or related areas. Researchers and Academics in fields such as Artificial Intelligence, Robotics, Computer Science, and Engineering who are studying or teaching about autonomous systems and intelligent agents. Technology Professionals and Engineers working in AI development, automation, robotics, or system design who want to deepen their understanding of agentic intelligence. Policy Makers and Tech Strategists interested in the societal, ethical, and regulatory implications of autonomous technologies. Innovators and Entrepreneurs exploring new opportunities in intelligent automation and smart systems

Preface
About Editors

Part I: Foundations of AI and Autonomy

1. The Evolution and Fundamentals of AI & Autonomy : The Long Journey of Artificial Intelligence Toward Intelligent Automation

2. Architectures of Agentic Systems

3. Agentic AI Systems in Transportation and Mobility Systems

Part II: Understanding Agentic Intelligence

4. Autonomy Levels: Mapping the Spectrum of Agentic Intelligence

5. Architectures of Agentic Recommendation Systems: A Sentiment-Aware VIKOR MCDM Approach

6. Machine Learning-Driven Models for Agentic Decision-Making System

Part III: Technology Enablers and Architectures

7. Scalable AI-Based Clouds Applications for Educational Innovation

8. Intelligent Transportation Systems with IoT-Based Fuzzy Regression Modeling based on AI

9. Autonomous Drone Intelligence: Agentic Architectures, Perception, and Decentralized Decision-Making for Cooperative Systems

Part IV: Design, Safety, and Deployment

10. Designing Autonomous Intelligence for Environmental Agricultural Resilient Systems

11. Ethics, Rights and Accountability in Agentic AI

12. Ethical Governance of Large Language Models: Mitigating Risks and Ensuring Accountability in Agentic AI Systems

Part V: Healthcare and Assistive Agentic Systems

13. Agentic AI for Healthcare and Assistive Systems

14. Deep Learning for Diabetic Retinopathy: Healthcare and Assistive Systems

15. Smart Healthcare and Assistive System Model for Remote Diabetes Monitoring System

16. Integrating Climate Resilience into Hospital Planning and Health Policy

Part VI: Sectoral Applications of Agentic AI

17. AI-Enabled Sustainable Supply Chain Integration in Autonomous Transportation Systems: Bridging Technology and Environmental Performance

18. Designing Safe and Trustworthy Agentic Systems: Frameworks, Challenges, and Future Directions

19. Artificial Intelligence Driven Multi-Disease Prediction in Dairy Cattle Using Time-Series Behavioural Sensor Analytics for Precision Livestock Health Monitoring

Part VII: Societal, Ethical, and Future Considerations

20. Unveiling the Layers: A Comprehensive Review of Fairness and Bias in Natural Language Processing

Product details

Edition: 1
Latest edition
Published: January 1, 2027
Language: English

About the editors

Shubham Mahajan

Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.

Affiliations and expertise

Amity School of Engineering and Technology, Amity University Haryana., India

Akshat Agrawal

Dr. Akshat Agrawal completed a B. Tech in Computer Science & Engineering from UPTU and M. Tech from USICT, GGSIPU. He completed his Ph.D. from GGSIPU, Delhi. He is an Associate Professor at Computer Science & Engineering, Institute of Engineering & Technology, JK Lakshmipat University, Jaipur, India. He has a total of 16 years of teaching and research experience. Artificial intelligence, deep learning, artificial neural networks, speech processing, and image processing are among his primary research interests. He has published a total of 56 Research papers in journals/conference in Scopus/ SCIE indexed international journals and conferences. He has guided 20 M. Tech thesis and 42 B. Tech projects. In June 2019, he visited at Technical University of Kosice in Slovakia and also visited the University of Nova, Portugal through CABCIN project (ERASMUS Funded) and in May 2023 he got a scholarship to visit Wroclaw University of Science & Technology, Wroclaw Poland. He actively participated in the peer review of research papers and book chapters, and he served on the programme committees of several conferences. He has edited one special issue on sustainable technological solutions for next-generation intelligent buildings in smart cities for EAI Endorsed Transactions on smart cities and edited toral 4 books, 1 for Wiley publication and 3 from IGI Global.