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A DEVELOPMENTAL HISTORY OF ARTIFICIAL INTELLIGENCE VOLUME II (1943 AD - 2026 AD): THE RISE OF ARTIFICIAL INTELLIGENCE (The Foundations of Artificial Intelligence Series)
English | October 7, 2026 | ASIN: B0HM8BW8J4 | 335 pages | Epub | 30.53 MB
The ancient dream woke up.Volume II of A Developmental History of Artificial Intelligence picks up exactly where Volume I ends — at the moment six millennia of preparation became a working science. Beginning with McCulloch and Pitts's founding neuron model in 1943 and closing at the audited snapshot of the Stanford AI Index 2026, this volume traces the explosive, nonlinear, and cyclical rise of AI across six eras, continuing Volume I's chapter numbering:The Birth of the Field (1943–1956) — from the founding papers to the Dartmouth namingSymbolic AI & the First Winter (1956–1973)Expert Systems & the Second Winter (1974–1993)Neural Revival & Deep Learning Ascendance (1994–2016)The Transformer Revolution & Foundation Models (2017–2022)The Agentic & Multimodal Era (2023–2026)Built on a citation-verified archive — 85 annotated entries with APA sources, a tiered bibliography of more than 180 works, and the complete AI Top-5 Influencers Timeline (420 ranked entries, 1943–2026) presented as a decade-by-decade appendix — Volume II documents how each paradigm emerged, matured, collapsed, and re-formed into something stronger: Hebb's learning rule and Rosenblatt's perceptron through backpropagation, convolutional networks, attention, the transformer, and the reasoning and agentic systems of 2024–2026.The threads of Volume I continue forward, now six: formal logic into reasoning models; mechanical calculation into GPU superclusters and agents; the theological thread from the Golem to Constitutional AI and the EU AI Act; behavioral learning from Thorndike to RLHF; the mathematics of uncertainty from Bayes to the scaling laws; and knowledge organization from ontologies to retrieval-augmented generation. The field's recurring patterns — the hype–disillusionment pendulum, the phoenix pattern of "dead" ideas reborn, the Bitter Lesson, the infrastructure
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