Autonomous Intelligence

Designing the Future of Agentic Systems
Erscheinungsjahr 2027
ISBN: 978-0-443-45462-2
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 191 mm x 235 mm

Autonomous Intelligence: Designing the Future of Agentic Systems provides insights into how autonomous technologies—from robots to AI-driven systems— are transforming industries and daily life. It 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. Autonomous Intelligence: Designing the Future of Agentic Systems is broken down into six parts: 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. It considers how these technologies function, as well as addressing concerns about their integration, their limitations, their potential benefits, and the 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. Ranging from academic and theoretical concepts to case studies and practical examples, Autonomous Intelligence: Designing the Future of Agentic Systems allows the reader to confidently engage with, apply, and respond to agentic intelligence in their study, work, and daily lives.

Autoren/Hrsg.

Mahajan, Shubham

Agrawal, Akshat

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Part I: Foundations of AI and Autonomy
1. The Evolution of Artificial Intelligence
2. Fundamentals of Autonomy and Intelligent Systems

Part II: Understanding Agentic Intelligence
3. What is Agentic Intelligence?
4. Anatomy of Autonomous Systems
5. Levels and Types of Agentic Autonomy

Part III: Technology Enablers and Architectures
6. Machine Learning for Agentic Behavior
7. Architectures of Agentic Systems
8. Hardware and Embedded Intelligence

Part IV: Design, Safety, and Deployment
9. Designing Safe and Trustworthy Agentic Systems
10. Human-Autonomy Interaction
11. Integration and Deployment Challenges

Part V: Sectoral Applications of Agentic AI
12. Industry and Enterprise Automation
13. Transportation and Mobility Systems
14. Healthcare and Assistive Systems
15. Environment, Agriculture, and Resilience

Part VI: Societal, Ethical, and Future Considerations
16. Societal Implications and Workforce Shifts
17. Ethics, Rights, and Accountability in Agentic AI
18. The Future of Agentic Intelligence

Über Autor(innen)

Mahajan, Shubham
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.

Agrawal, Akshat
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 Amity University Haryana's Amity School of Engineering and Technology. 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.