Discovering Artificial Economics How Agents Learn And Economies Evolve 1st Edition by David Batten 0367165058 9780367165055

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Product details:

ISBN 10: 0367165058

ISBN 13: 9780367165055

Author: David F. Batten

I’Ve live in an astornshingly complex world, Yet what we do in our everyday lives seems simple enough. Most of us conform to society’s rules, pursue familiar strategies, and achieve reasonably predictable outcomes. In our role as economic agents, we simply peddle our wares and earn our daily bread as best we can.So where on earth does this astonishing complexity come from? Much of it is ubiquitous in nature, to be sure, but part of it lies within and between us. Part of it comes from those games of interaction that humans play—games against nature, games against each other, games of competition, games of cooperation. In bygone eras, people simply hunted and gathered to come up with dinner. Today you can find theoretical economists scratching mysterious equations on whiteboards (not even blackboards) and getting paid to do this. In the modern economy, most of us make our living in a niche created for us by what others do. Because we’ve become more dependent on each other, our economy as a whole has become more strongly interactive.

Discovering Artificial Economics How Agents Learn And Economies Evolve 1st Table of contents:

1 Chance and Necessity

“Wetting” the Appetite

Sandpiles, Self-Organization, and Segregation

Power Laws and Punctuated Equilibria

Bulls, Bears, and Fractals

Stasis and Morphogenesis

On Learning Curves

2 On the Road to Know-Ware

What Is Knowledge?

Finding the Road to Know-Ware

The Age of Deception

Seeing the Light at the El Farol

The Emergence of Cooperation

Coevolutionary Learning

3 Sheep, Explorers, and Phase Transitions

The Fallacy of Composition

Irreducible Interactions

Getting Well Connected

Sheep and Explorers

Are You an Inductive Graph Theorist?

4 The Ancient Art of Learning by Circulating

Pirenne’s Hypothesis

The Mees Analysis

Learning by Circulating

Big Buttons and a Critical Thread

Ephemeral Entrepôts

5 Networks, Boosters, and Self-Organized Cities

The Shortest Network Problem

Pirenne Again?

Selective Urban Growth

One Great Metropolis

Networking Futures

City-Size Distributions Obey Power Laws

Artificial Cities

6 Traffic Near the Edge of Chaos

The Driver’s Dilemma

In Whose Best Interests?

Sheep, Explorers, and Bounded Rationality

Cellular Congestion

Coevolutionary Learning in Congested Traffic

Edge-of-Chaos Management

7 Coevolving Markets

Are Stock Markets Efficient?

Pattern Recognizers

Scaling the Market’s Peaks

Fibonacci Magic

Market Moods

Reading the Market’s Mind

How Markets Learn

8 Artifical Economics

Limits to Knowledge

Adaptive Agents and the Science of Surprise

The New Age of Artificial Economics

Growing a Silicon Society

Some Final Words

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