Fundamental Intelligence, Volume I: AI as a Label: Rethinking Natural and Artificial Intelligence - Tapa blanda

Sinopsis

Notions of general intelligence or human intelligence are not fundamentally scientific. Is intelligence going to always stay an overloaded term with many different kinds? Can there be a fundamental notion for it? Does intelligence have something to do with fundamental physics? How is that related to human intelligence and all the various methods and algorithms in AI and ML? When, where, and why do those methods work?

Could it be that many of our most challenging problems with AI stem from bad foundational philosophies? Do we even know what philosophies we are following? how aware are we? What are the implicit assumptions and philosophies behind each of our AI and machine learning methods? What would it take to have a "data science" discipline for real? Can the history of physics and the history of psychology be a guide for us to gain some perspective as to where we are in the field of AI and what's next? How does the industry use the term and what about the economy of AI?

Fundamental Intelligence Volume I, paints a cross-disciplinary big picture of the foundations and fundamentals of AI, machine learning and cognitive science for a public audience. Takes you from history all the way to the dynamics of the cutting edge. Aims to give you massive depth and insight lacking from other texts on the subject. It uniquely puts it all together, and explains that the word intelligence has only been used symbolically. Thus, the title of this volume is “AI as a Label”! It argues how the existing foundations are not satisfying if we are serious about intelligence and proposes a fundamental rethinking of natural and artificial intelligence.

It’s written so that anyone could follow. It gives you the insights that you’d otherwise have to get from knowing a lot of math, reading thousands of academic papers, and thinking about them deeply. The content is both broad and deep and should appeal to both the very beginner and the very advanced mind in AI. You don’t learn how to write AI programs from this book. There are plenty of other resources for that. Instead, you may learn what to make of things, how to think of them differently, and gain the perspective needed to be a better judge of new ideas.

For more check out: https://Fundamentali.com/book

Contents

1. Introduction
2. Background — Where Are We?
3. The Missing Manual — Rethinking thinking
4. Artificial Manuals — Science, philosophy, and the brain
5. Foundations of AI as a Label
6. AI as Machine Learning
7. AI as Deep Learning
8. AI as Hybrid Systems Beyond Deep Learning
9. AI-Labeled Economy and Data Science
10. Manuons of Intelligence
11. Is AI in its Behaviorism Phase?
12. A Fictional Viaduct to Volume II

"Sinopsis" puede pertenecer a otra edición de este libro.