Patternism
How Patterns Define Intelligence, Consciousness, and EvolutionBy Thuc Cong Nguyen
Length8h 47m
About this audiobook
What if intelligence isn’t uniquely human? Patternism: How Patterns Define Intelligence, Consciousness, and Evolution offers a radical shift: intelligence is the ability to find and use patterns, while consciousness is the ability to recognize—and break—patterns within oneself. Seen this way, consciousness is not beyond biology but a natural extension of intelligence. Listeners will explore evolution as an intelligent process, the four universal principles of life—Representation, Recognition, Reproduction, and Randomization—and how neurons, AI, mathematics, and even music can all be reduced to patterns and their paradoxes. Patternism reveals a bold new philosophy: that patterns are as fundamental to reality as space and time.
Audiobook details
GenrePhilosophy, Science and Nature
Length8 hrs 47 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateJan 12, 2025
LanguageEnglish
Table of contents
1Title + Epigraph
2Chapter 1.0 A Complete Theory of Intelligence
3Chapter 1.1 The Patternist Approach
4Chapter 1.2 The Game
5Chapter 1.3 Universal
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6Chapter 1.4 The Ladder of Complexity
7Chapter 2.0 A Theory of Patterns
8Chapter 2.1 What is a Pattern?
9Chapter 2.2 Spatial and Temporal Patterns
10Chapter 2.3 Living Patterns
11Chapter 2.4 Complexity
12Chapter 2.5 Existence
13Chapter 2.6 The Differentiation of Outcomes
14Chapter 2.7 A Semi-Consistent Universe
15Chapter 2.8 Medium Independence
16Chapter 2.9 The Paradox of the Pattern
17Chapter 3.0 The Search for Patterns
18Chapter 3.1 Adaptive Systems
19Chapter 3.2 Pattern Recognition
20Chapter 3.3 Mechanism 1. Repetition
21Chapter 3.4 Mechanism 2. Prediction
22Chapter 3.5 Mechanism 3. Natural Selection
23Chapter 3.6 Mechanism 4. Categorization
24Chapter 3.7 Universal Tools
25Chapter 3.8 The Divide
26Chapter 4.0 A Theory of Theories
27Chapter 4.1 What is a Theory?
28Chapter 4.2 Foundational Principles
29Chapter 4.3 Constructing Reality
30Chapter 4.4 The Universal Method
31Chapter 5.0 A Viable Set
32Chapter 5.1 Merely Viable
33Chapter 5.2 Principle 1. Representation
34Chapter 5.3 Principle 2. Recognition
35Chapter 5.4 Principle 3. Reproduction
36Chapter 5.5 Principle 4. Randomization
37Chapter 5.6 A Fundamental Theory
38APPENDIX: Tests of Self
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