Computational Framework for Adaptive Artificial Intelligence (Paperback)

Language: English

Published by LAP Lambert Academic Publishing, 2026

6209827071 / 9786209827075

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Paperback. The development of a computational framework for adaptive artificial intelligence represents a transformative shift in the evolution of intelligent systems. Throughout this book, we have examined the theoretical foundations, algorithmic principles, architectural designs, and ethical implications that collectively define adaptive AI. At its core, adaptive artificial intelligence refers to systems that possess the capacity to learn continuously from data, modify internal representations in response to environmental changes, and improve performance without explicit reprogramming. Unlike traditional static models that rely on predefined rules or fixed training phases, adaptive AI systems operate in dynamic environments where uncertainty, variability, and incomplete information are inherent characteristics. The integration of computational intelligence methods, machine learning paradigms, reinforcement learning strategies, neural network architectures, and systems engineering principles forms the backbone of this adaptive framework. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Title
Computational Framework for Adaptive Artificial Intelligence (Paperback)
Author
Jayashree Ananth S.
Publisher
LAP Lambert Academic Publishing
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
6209827071
ISBN 13
9786209827075

Grand Eagle Retail

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