Subsumption Architecture: Fundamentals and Applications for Behavior Based Robotics and Reactive Control

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What Is Subsumption Architecture

The term "subsumption architecture" refers to a type of reactive robotic architecture that is closely linked to the field of behavior-based robotics, which enjoyed a great deal of success in the 1980s and 1990s. In 1986, Rodney Brooks and his colleagues were the ones who first coined the word. The concept of subsumption has had a significant impact on autonomous robots as well as other areas of real-time artificial intelligence.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Subsumption architecture


Chapter 2: Behavior-based robotics


Chapter 3: Rodney Brooks


Chapter 4: Decentralised system


Chapter 5: Model-based reasoning


Chapter 6: Intelligent agent


Chapter 7: Action selection


Chapter 8: Nouvelle AI


Chapter 9: Hierarchical control system


Chapter 10: Genghis (robot)


(II) Answering the public top questions about subsumption architecture.


(III) Real world examples for the usage of subsumption architecture in many fields.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of subsumption architecture.


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The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

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