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Autonomous Intelligence: Designing the Future of Agentic Systems de Shubham Mahajan

Autonomous Intelligence: Designing the Future of Agentic Systems

Editat de Shubham Mahajan, Akshat Agrawal
en Limba Engleză Paperback – 2027
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.

  • 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
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Specificații

ISBN-13: 9780443454622
ISBN-10: 0443454620
Pagini: 600
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE

Cuprins

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