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E-grāmata: Acceleration of Cultural Change: From Ancestors to Algorithms

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(University of Tennessee), Foreword by (Automattic, Inc.), (Texas A&M University - San Antonio)
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How culture evolves through algorithms rather than knowledge inherited from ancestors.

From our hunter-gatherer days, we humans evolved to be excellent throwers, chewers, and long-distance runners. We are highly social, crave Paleolithic snacks, and display some gendered difference resulting from mate selection. But we now find ourselves binge-viewing, texting while driving, and playing Minecraft. Only the collective acceleration of cultural and technological evolution explains this development. The evolutionary psychology of individuals -- the drive for "food and sex" -- explains some of our current habits, but our evolutionary success, Alex Bentley and Mike O'Brien explain, lies in our ability to learn cultural know-how and to teach it to the next generation. Today, we are following social media bots as much as we are learning from our ancestors. We are radically changing the way culture evolves.

Bentley and O'Brien describe how the transmission of culture has become vast and instantaneous across an Internet of people and devices, after millennia of local ancestral knowledge that evolved slowly. Long-evolved cultural knowledge is aggressively discounted by online algorithms, which prioritize popularity and recency. If children are learning more from Minecraft than from tradition, this is a profound shift in cultural evolution.

Bentley and O'Brien examine the broad and shallow model of cultural evolution seen today in the science of networks, prediction markets, and the explosion of digital information. They suggest that in the future, artificial intelligence could be put to work to solve the problem of information overload, learning to integrate concepts over the vast idea space of digitally stored information.

Foreword vii
John Maeda
Preface: In the Middleton Theater xi
1 Traditional Minds
1(14)
Producers and Scroungers
6(3)
Cultural Intelligence
9(3)
What's in a Name?
12(3)
2 Chance Is Not Norman
15(10)
Serious Partying
20(2)
Family Feuds
22(3)
3 Check The Transmission
25(14)
Transmission Experiments
28(1)
Cultural Attractors
29(3)
Social Information Bias
32(3)
Slicing and Dicing in the Digital Age
35(4)
4 Cultural Trees
39(12)
The Acheulean Hand Ax
40(3)
Emulation versus Imitation
43(2)
Evolutionary Trees
45(1)
Languages and Folktales
46(2)
Complex Technology
48(3)
5 Bayesians
51(16)
The Bayesian Mind
53(2)
Bayesian Modeling and the Bantu Expansion
55(6)
Across the Pacific
61(6)
6 Traditions And Horizons
67(14)
Diet
70(3)
Gender Relations
73(4)
Charitable Giving
77(4)
7 Networks
81(12)
E-Networks
84(6)
Influence versus Homophily
90(3)
8 Hindsighted
93(10)
Predicting the Past
95(2)
Predicting the Game in Real Time
97(2)
Understanding Collective Behavior
99(4)
9 Moore Is Better?
103(12)
The Tasmania Hypothesis
105(3)
An Information Explosion
108(2)
The Explosion Hits Science
110(3)
Without Selection
113(2)
10 Free Willy
115(14)
Bluefins and Herring
117(3)
Orcas
120(6)
Along Come Mice
126(3)
Bibliography 129(22)
Index 151