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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computational Framework for Adaptive Artificial Intelligence

Computational Framework for Adaptive Artificial Intelligence

S, Jayashree Ananth

Paperback

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ISBN10: 6209827071
ISBN13: 9786209827075
Publisher: LAP Lambert Academic Publishing
Published: Mar 30 2026
Pages: 144
Weight: 0.44
Height: 0.34 Width: 6.00 Depth: 9.00
Language: English
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.

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