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1
Introduction
2
Mathematicalization of Economics
3
Bias in Standard Mathematics
4
Biases in Algebra
5
Process Philosophy
6
Everything is evolving
7
Information Processing
8
Algorithmic language
9
Algorithms respond to context
10
What mathematicians love about mathematics
11
Algorithms creating their own context
12
Algorithms are better at detail
13
AlphaGo Zero
14
Science is Shifting
15
Different Types of Mathematics
16
Algorithmic Mathematics
17
Algorithms occupy a world
18
Science is discovering a new language
19
The essence of complexity
20
Structural change
21
How science has developed
22
Enlightenment
23
Not everything was predictable
24
You never know
25
Cellular Automata
26
A welldefined process
27
Theres an infinite number
28
Complexity in Modern Architecture
29
The Economy
30
Computational Economics
31
Algorithmic Economics
32
Integrated Pluralism
33
Complexity Economics
Description:
Explore the profound insights of W. Brian Arthur in this thought-provoking Santa Fe Institute podcast episode on the limitations of algebraic theory in economics and the potential of algorithmic approaches. Delve into the contrast between "prim dreams of order" and "messy vitality" across economics, mathematics, and physics. Discover how verbs and algorithms can better capture the uncertain, open, and evolving nature of innovation and exchange. Journey through diverse scientific methodologies, from the I Ching to AlphaGo, and examine the power of forgotten mathematics to address inadequate axioms. Gain a deeper understanding of process philosophy, information processing, and the shifting landscape of science as Arthur discusses the potential of algorithmic mathematics and computational economics to revolutionize our approach to complex systems.

Prim Dreams of Order vs. Messy Vitality in Economics, Math, and Physics - Part 2

Santa Fe Institute
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