Computational evolution of neural and morphological development : towards evolutionary developmental artificial intelligence / Yaochu Jin.
Jin, Yaochu, 1966- author.
2023
TA347.E96
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Title Computational evolution of neural and morphological development : towards evolutionary developmental artificial intelligence / Yaochu Jin.
Author Jin, Yaochu, 1966- author.
ISBN 9789819918546 (electronic bk.)
9819918545 (electronic bk.)
9789819918539
9819918537
DOI https://doi.org/10.1007/978-981-99-1854-6
Published Singapore : Springer, 2023.
Language English
Description 1 online resource (304 pages) : illustrations (black and white, and color).
Other Standard Identifiers 10.1007/978-981-99-1854-6 doi
Call Number TA347.E96
Dewey Decimal Classification 006.3/823
Summary This book provides a basic yet unified overview of theory and methodologies for evolutionary developmental systems. Based on the authors 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Series Natural computing series.
Available in Other Form Computational evolution of neural and morphological development.
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Record Appears in Online Resources > Ebooks
All Resources
Computational Models of Evolution and Development
Analysis of Gene Regulatory Networks
Evolutionary Synthesis of Gene Regulatory Dynamics
Evolution of Morphological Development
Evolution of Neural Development
Computational Brain-Body Co-Evolution
Evolutionary Morphogenetic Self-Organization of Swarm Robots
Towards Evolutionary Developmental Systems.

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