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Collectives and the Design of Complex Systems

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Cover of 'Collectives and the Design of Complex Systems'

Table of Contents

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    Book Overview
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    Chapter 1 A Survey of Collectives
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    Chapter 2 Theory of Collective Intelligence
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    Chapter 3 On Learnable Mechanism Design
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    Chapter 4 Asynchronous Learning in Decentralized Environments: A Game-Theoretic Approach
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    Chapter 5 Competition between Adaptive Agents: Learning and Collective Efficiency
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    Chapter 6 Managing Catastrophic Changes in a Collective
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    Chapter 7 Effects of Interagent Communications on the Collective
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    Chapter 8 Man and Superman: Human Limitations, Innovation, and Emergence in Resource Competition
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    Chapter 9 Design Principles for the Distributed Control of Modular Self-Reconfigurable Robots
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    Chapter 10 Two Paradigms for the Design of Artificial Collectives
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    Chapter 11 Efficiency and Equity in Collective Systems of Interacting Heterogeneous Agents
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    Chapter 12 Selection in Coevolutionary Algorithms and the Inverse Problem
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    Chapter 13 Dynamics of Large Autonomous Computational Systems
Attention for Chapter 5: Competition between Adaptive Agents: Learning and Collective Efficiency
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