Computational Framework for Adaptive Artificial Intelligence

Jayashree Ananth S

ISBN 10: 6209827071 / ISBN 13: 9786209827075

Published by LAP LAMBERT Academic Publishing, 2026

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Synopsis:

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.

Bibliographic Details

Title: Computational Framework for Adaptive ...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2026
Binding: PAP
Condition: New