
BOOKS - Learning Automata and Their Applications to Intelligent Systems

Learning Automata and Their Applications to Intelligent Systems
Author: JunQi Zhang, MengChu Zhou
Year: 2024
Pages: 275
Format: PDF | EPUB
File size: 21.6 MB
Language: ENG

Year: 2024
Pages: 275
Format: PDF | EPUB
File size: 21.6 MB
Language: ENG

Learning Automata and Their Applications to Intelligent Systems The book "Learning Automata and Their Applications to Intelligent Systems" is a comprehensive guide to understanding the concept of automata and their role in shaping the future of intelligent systems. The author, a renowned expert in the field, provides a thorough analysis of the current state of the art in automata research and its applications in various domains, including computer science, artificial intelligence, and machine learning. The book offers a unique perspective on the evolution of technology and its impact on human society, highlighting the importance of developing a personal paradigm for perceiving the technological process of developing modern knowledge. The book begins by introducing the fundamental concepts of automata, including finite automata, pushdown automata, and Turing machines. It then delves into the more advanced topics of linear bounded automata, non-deterministic automata, and probabilistic automata, providing readers with a solid foundation in the subject matter. The author also explores the various applications of automata in intelligent systems, such as speech recognition, natural language processing, and robotics. One of the key themes of the book is the need to study and understand the process of technology evolution. The author argues that this is crucial for the survival of humanity, as it allows us to anticipate and prepare for the challenges and opportunities that arise from technological advancements. By examining the historical development of automata and their applications, the book provides a framework for understanding the trajectory of technological progress and how it has shaped our world today. The author emphasizes the importance of developing a personal paradigm for perceiving the technological process of developing modern knowledge.
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