Buch, Englisch, 600 Seiten, Format (B × H): 191 mm x 235 mm
Designing the Future of Agentic Systems
Buch, Englisch, 600 Seiten, Format (B × H): 191 mm x 235 mm
ISBN: 978-0-443-45462-2
Verlag: Elsevier Science
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.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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




