Computational Context: The Value, Theory and Application of Context with AI

The importance, issues, and value of context in perception, cognition, and action are explored in this volume. It provides an in-depth review of strategies and techniques for addressing computational challenges in AI, including clear, uncertain, and illusory contexts. Written by world-class leaders in autonomous systems research, the book considers the construction of computational systems for determining context and the advances expected for the science of context.

Format: Paperback / softback
Length: 322 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd

This comprehensive volume delves into the multifaceted realm of context, exploring its significance, challenges, and immense value in both laboratory and field settings. It offers a multi-faceted perspective, encompassing three key aspects:

Firstly, it emphasizes the importance of context, shedding light on its profound impact on human perception, cognition, and behavior. While current literature tends to narrowly define context, this book stands out as a valuable resource, offering an in-depth exploration across a wide range of topics, regardless of its breadth.

Secondly, the volume delves into the theoretical foundations guiding the artificial intelligence (AI) employed to model and understand context. It unravels the underlying principles and algorithms that shape the way context is represented and analyzed, providing insights into the computational mechanisms underlying AI systems.

Thirdly, the book showcases the diverse applications of context in real-world scenarios. It explores how context influences decision-making processes, problem-solving methodologies, and the development of intelligent systems across various domains. By presenting case studies and practical examples, the volume demonstrates the practical implications and potential benefits of incorporating context into AI systems.

The breadth of this volume presents a significant challenge, as it requires a comprehensive and interdisciplinary approach. The book endeavors to address this challenge by providing an in-depth review of various strategies and techniques employed by world-class scientists to tackle complex computational challenges posed by context. These experts have adapted their research to solve problems in challenging environments and complex domains, showcasing the adaptability and versatility of context-aware AI.

Within the chapters, readers will find a wealth of information and insights. The book begins by examining the nature of context, exploring its different forms and characteristics. It delves into the complexities of determining context, particularly in situations where disagreement exists, interpretations vary, or uncertainty reigns. Recognizing the profound impact of context on human behavior, the volume explores the role of individual perception, cognition, and decision-making processes within different contexts.

Furthermore, the book discusses the theoretical foundations of context modeling and AI, shedding light on the algorithms and models employed to represent and analyze context. It explores the challenges associated with capturing and understanding context, including the representation of temporal and spatial information, the handling of ambiguity, and the integration of multiple sources of data.

The applications of context-aware AI are showcased through a series of case studies and practical examples. These examples range from healthcare and finance to transportation and robotics, highlighting the potential benefits and limitations of incorporating context into AI systems. The book explores how context can be used to improve decision-making processes, enhance user experiences, and optimize system performance.

In conclusion, this comprehensive volume provides a comprehensive and interdisciplinary exploration of context, its importance, challenges, and applications in AI. It offers valuable insights into the theoretical foundations and practical techniques employed to model and understand context, showcasing the immense potential of context-aware AI to revolutionize various fields. By presenting a wealth of information and real-world examples, the book empowers researchers, practitioners, and enthusiasts to leverage the power of context in developing innovative and effective solutions.

Weight: 603g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367780548