June 2026
Intermediate
400 pages
10h 11m
English
book
Composite Artificial Intelligence
by T. S. Arun Samuel, L. Jerart Julus, P. Kanimozhi, T. Ananth Kumar, S. Balamurugan
Content preview from Composite Artificial Intelligence
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Series Preface
This book discusses how multiple AI paradigms—such as symbolic reasoning, machine learning, and evolutionary computation—can be integrated to create more robust, adaptable, and intelligent systems for complex real-world problem-solving. The content of “Composite Artificial Intelligence: Fundamentals, Challenges, and Applications” is significant as it responds to the need to interleave diverse AI techniques—machine learning, symbolic reasoning, neural networks, evolutionary algorithms, etc.—to surpass the limitations of each and to create more intelligent, interpretable, and adaptive systems. Today, we live in an era characterized by complex problems that require multifaceted solutions. Composite AI opens up possibilities for developing robust, context-aware intelligent systems that can simultaneously reason, learn, and evolve. The book is relevant to the series of “Leading Edge Breakthroughs in Artificial Intelligence” because it defines a paradigm shift in how AI is develops and promotes interdisciplinary innovative next-generation AI systems that can tackle dynamic and high-dimensional real-world problems.
Dr. S. Balamurugan
Director, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamil Nadu, India
Series Editor - Leading Edge Breakthroughs in Artificial Intelligence
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