Unlocking the Power of Case-Based Reasoning: A Comprehensive Guide for Researchers and Practitioners

In an increasingly complex and rapidly changing world, the ability to effectively solve problems and make informed decisions is paramount. Case-Based Reasoning (CBR) has emerged as a powerful approach for addressing these challenges, offering a data-driven and experience-based paradigm for problem solving.

Case-Based Reasoning Research and Development: 27th International Conference, ICCBR 2024, Otzenhausen, Germany, September 8–12, 2024, Proceedings (Lecture Notes in Computer Science Book 11680)

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Language	:	English
File size	:	50562 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	634 pages

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This comprehensive book provides a deep dive into the cutting-edge research and development in CBR, providing researchers and practitioners with a comprehensive overview of the field. From its theoretical foundations to its practical applications, this book covers every aspect of CBR, empowering readers to advance their work in AI, machine learning, and beyond.

Chapter 1: The Foundations of Case-Based Reasoning

This chapter introduces the fundamental concepts of CBR, exploring its historical roots, theoretical underpinnings, and key characteristics. Readers will gain a solid understanding of the core principles of CBR, including case representation, similarity assessment, and case adaptation.

Chapter 2: Case Representation

In this chapter, readers will delve into the various techniques for representing cases in a CBR system. From structured representations to feature-based representations, the authors explore the advantages and disadvantages of each approach, providing guidance for selecting the most appropriate representation for specific problem domains.

Chapter 3: Similarity Assessment

Similarity assessment is a crucial component of CBR, as it determines how similar cases are retrieved from a case base. This chapter examines a wide range of similarity measures, from distance-based measures to knowledge-intensive measures. Readers will learn how to select and apply the most effective similarity measure for their specific application.

Chapter 4: Case Adaptation

Once similar cases have been retrieved, they must be adapted to the current problem situation. This chapter explores the various techniques for case adaptation, including local adaptation, global adaptation, and transformational adaptation. Readers will learn how to select and apply the most appropriate adaptation technique for their specific application.

Chapter 5: Advanced Topics in Case-Based Reasoning

This chapter covers advanced topics in CBR, including case-based planning, case-based learning, and hybrid CBR systems. Readers will explore how CBR can be combined with other AI techniques to enhance problem solving capabilities.

Chapter 6: Applications of Case-Based Reasoning

This chapter showcases the wide range of applications where CBR has been successfully applied. From medical diagnosis to financial planning, CBR has proven to be a valuable tool for solving complex problems in a variety of domains.

Chapter 7: Future Directions in Case-Based Reasoning

This concluding chapter explores the future directions of CBR research and development. Readers will gain insights into emerging trends, such as Explainable AI, Deep Learning, and Big Data, and how these advancements are shaping the future of CBR.

This book provides a comprehensive overview of Case-Based Reasoning, offering a valuable resource for researchers and practitioners in the field. With its in-depth exploration of theoretical foundations, practical applications, and future directions, this book empowers readers to harness the power of CBR to solve complex problems and drive innovation in AI, machine learning, and beyond.

Case-Based Reasoning Research and Development: 27th International Conference, ICCBR 2024, Otzenhausen, Germany, September 8–12, 2024, Proceedings (Lecture Notes in Computer Science Book 11680)

5 out of 5

Language	:	English
File size	:	50562 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	634 pages

FREE