Introduced in the early 1980s, Rough Set Theory has become an important part of soft computing in the last 25 years. This book provides a practical, context-based analysis of rough set theory, with each chapter exploring a real-world application of Rough Sets.
Using artificial intelligence and robustness as a unifying theme, this book comments on the fundamental strategies found in nature and how an understanding of these can be used to further research into general design principles for artificial intelligence.
This book focuses on a critical obstacle that is preventing the development of intelligent, autonomous robots: the gap between the ability to reason about the world and the ability to sense the world and translate that sensory data into a symbolic model.
This volume updates readers on recent developments in advanced knowledge processing in robotics. It has a comprehensive introduction and includes methodology on topics such as human-robot interaction, human motion analysis, robot vision and advanced control.
For decades, robots have been changing our lives, and that will increasingly become the case in the future. This practical book offers examples of modeling and analyzing observed behaviour based on real-world robotic scenarios.
This book is suitable for researchers and postgraduates in the areas of artificial intelligence, database theory, and logic. The authors illustrate the idea through the presentation of various algorithms and offer the most-up-to-date book on this topic.
This book explores the adaptation of cognitive processes to limited resources. It deals with resource-bounded and resource-adaptive cognitive processes in human information processing and human-machine systems plus the related technology transfer issues.