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Engineering - Computational Evolution of Neural and Morphological Development: Towards Evolutionary Developmental Artificial Intelligence (Natural Computing Series)

Description

Book Synopsis: This book provides a basic yet unified overview of theory and methodologies for evolutionary developmental systems. Based on the author’s extensive research into the synergies between various approaches to artificial intelligence including evolutionary computation, artificial neural networks, and systems biology, it also examines the inherent links between biological intelligence and artificial intelligence. The book begins with an introduction to computational algorithms used to understand and simulate biological evolution and development, including evolutionary algorithms, gene regulatory network models, multi-cellular models for neural and morphological development, and computational models of neural plasticity. Chap. 2 discusses important properties of biological gene regulatory systems, including network motifs, network connectivity, robustness and evolvability. Going a step further, Chap. 3 presents methods for synthesizing regulatory motifs from scratch and creating more complex regulatory dynamics by combining basic regulatory motifs using evolutionary algorithms. Multi-cellular growth models, which can be used to simulate either neural or morphological development, are presented in Chapters 4 and 5. Chap. 6 examines the synergies and coupling between neural and morphological evolution and development. In turn, Chap. 7 provides preliminary yet promising examples of how evolutionary developmental systems can help in self-organized pattern generation, referred to as morphogenetic self-organization, highlighting the great potentials of evolutionary developmental systems. Finally, Chap. 8 rounds out the book, stressing the importance and promise of the evolutionary developmental approach to artificial intelligence.Featuring a wealth of diagrams, graphs and charts to aid in comprehension, this book offers a valuable asset for graduate students, researchers and practitioners who are interested in pursuing a different approach to artificial intelligence.

Details

Unlock the potential of Evolutionary Developmental Artificial Intelligence with our groundbreaking book - Computational Evolution of Neural and Morphological Development. Discover the unified overview of theory and methodologies that will revolutionize your understanding of artificial intelligence. Dive into the synergies between evolutionary computation, artificial neural networks, and systems biology to enhance your knowledge and skills in this cutting-edge field.

Explore the intricate connections between biological and artificial intelligence with this comprehensive guide. Gain insights into computational algorithms used for simulating biological evolution and development, including evolutionary algorithms and gene regulatory network models. Delve into the world of multi-cellular models for neural and morphological development, and computational models of neural plasticity to expand your horizons in AI research.

Experience a deep dive into important biological gene regulatory systems with our book. Learn about network motifs, connectivity, robustness, and evolvability in Chap. 2. Take a step further with Chap. 3, where methods for synthesizing regulatory motifs and creating complex regulatory dynamics are unveiled. Immerse yourself in the world of multi-cellular growth models for neural and morphological development in Chapters 4 and 5, and discover the synergies between neural and morphological evolution and development in Chap. 6.

Embark on a journey towards self-organized pattern generation with our evolutionary developmental systems. Be inspired by the preliminary but promising examples presented in Chap. 7, showcasing the great potentials of morphogenetic self-organization. Wrap up your learning with Chap. 8, emphasizing the importance and promise of the evolutionary developmental approach to artificial intelligence.

With a visual feast of diagrams, graphs, and charts, this book is a valuable asset for graduate students, researchers, and practitioners seeking a unique perspective on artificial intelligence. Don't miss this opportunity to elevate your AI skills and knowledge with Computational Evolution of Neural and Morphological Development. Grab your copy now!

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