What Kind of Mathematical Worldview Is AI Built Upon From Finite Rules to Generative Models [#1041801]

What Kind of Mathematical Worldview Is AI Built Upon?: From Finite Rules to Generative Models
English | May 13, 2026 | ASIN: B0GX9W271Z | 246 pages | Epub | 323.91 KB
Artificial Intelligence has evolved through multiple mathematical worldviews.Early symbolic AI viewed intelligence as logical rule manipulation.Machine learning introduced optimization, probability, and continuous spaces.Deep learning transformed intelligence into representation learning within high-dimensional vector spaces.Generative AI further shifted the paradigm toward relationships, context, attention, and dynamic meaning generation.This book explores the mathematical foundations behind the evolution of AI, including:Symbolic AI and formal logicOptimization and neural networksProbability and Bayesian reasoningInformation theory and entropyVector spaces and embeddingsTransformers and attention mechanismsGenerative models and latent spacesMulti-agent systems and relational intelligenceThe transition from "intelligence as computation" to "intelligence as relationship"Rather than treating AI as merely a collection of algorithms, this book examines the deeper question:What kind of worldview about reality, meaning, and intelligence is embedded within modern AI?Bridging mathematics, computer science, philosophy, and systems thinking, this book offers a conceptual journey through the evolving structure of intelligence itself.Ideal for readers interested in:Artificial IntelligenceGenerative AINeural NetworksAI PhilosophyMathematical Foundations of AICognitive SystemsMulti-Agent SystemsOrganizational IntelligenceIntelligence as Relationship