£114.85

Springer Computational Evolution of Neural and Morphological Dev

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Description

Explore the frontiers of artificial intelligence with this specialized text from the Springer Natural Computing Series. This book examines the computational evolution of neural and morphological development, providing a foundation for understanding Evolutionary Developmental Artificial Intelligence. Designed for readers interested in the intersection of biology and computer science, this work offers a deep look into how evolutionary processes can shape complex systems. It serves as a valuable resource for students and professionals working within the fields of AI and machine learning, specifically those looking to bridge the gap between biological development and computational modeling. By focusing on the evolution of both neural structures and morphological forms, this publication contributes to the growing field of natural computing. It provides a structured approach to studying how intelligent systems can develop through evolutionary mechanisms, making it a significant addition to any academic or professional library focused on advanced computer science topics.

Key Features

Part of the reputable Springer Natural Computing Series for academic excellence.

Focuses on the specialized field of Evolutionary Developmental Artificial Intelligence.

Covers the computational evolution of both neural and morphological development.

Ideal resource for researchers in AI, machine learning, and computer science.

Provides a technical perspective on biological processes applied to artificial systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 July 2024
Listed Since
16 July 2024

Barcode

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