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Building Agentic AI Systems

You're reading from   Building Agentic AI Systems Create intelligent, autonomous AI agents that can reason, plan, and adapt

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Product type Paperback
Published in Apr 2025
Publisher Packt
ISBN-13 9781803238753
Length 288 pages
Edition 1st Edition
Concepts
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Authors (2):
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Wrick Talukdar Wrick Talukdar
Author Profile Icon Wrick Talukdar
Wrick Talukdar
Anjanava Biswas Anjanava Biswas
Author Profile Icon Anjanava Biswas
Anjanava Biswas
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Foundations of Generative AI and Agentic Systems
2. Chapter 1: Fundamentals of Generative AI FREE CHAPTER 3. Chapter 2: Principles of Agentic Systems 4. Chapter 3: Essential Components of Intelligent Agents 5. Part 2: Designing and Implementing Generative AI-Based Agents
6. Chapter 4: Reflection and Introspection in Agents 7. Chapter 5: Enabling Tool Use and Planning in Agents 8. Chapter 6: Exploring the Coordinator, Worker, and Delegator Approach 9. Chapter 7: Effective Agentic System Design Techniques 10. Part 3: Trust, Safety, Ethics, and Applications
11. Chapter 8: Building Trust in Generative AI Systems 12. Chapter 9: Managing Safety and Ethical Considerations 13. Chapter 10: Common Use Cases and Applications 14. Chapter 11: Conclusion and Future Outlook 15. Index 16. Other Books You May Enjoy

Reflection and Introspection in Agents

In the previous chapter, we introduced intelligent agents in general, exploring their adaptive, autonomous, and goal-directed behaviors that make them invaluable across diverse applications. We examined the fundamental components that enable these agents to thrive in a complex world – perception, reasoning, and action.

However, the quest for intelligent agents that can not only perform tasks but also continuously improve their performance, emulating aspects of human-like intelligence, has led to the emergence of two developing subfields: reflection and introspection. These disciplines investigate the degree to which agents with reflective capabilities can contribute to their ability to introspect their cognitive processes, gain insights from experience, and adapt their behavior accordingly.

This chapter will dive into the importance of reflection within intelligent agents, exploring various methodologies for embedding reflective functionalities...

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