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Advances in Artificial Life. Darwin Meets von Neumann

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Cover of 'Advances in Artificial Life. Darwin Meets von Neumann'

Table of Contents

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    Book Overview
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    Chapter 1 Investigations of Wilson’s and Traulsen’s Group Selection Models in Evolutionary Computation
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    Chapter 2 The Evolution of Division of Labor
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    Chapter 3 A Sequence-to-Function Map for Ribozyme-Catalyzed Metabolisms
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    Chapter 4 Can Selfish Symbioses Effect Higher-Level Selection?
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    Chapter 5 The Effect of Group Size and Frequency-of-Encounter on the Evolution of Cooperation
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    Chapter 6 Moderate Contact between Sub-populations Promotes Evolved Assortativity Enabling Group Selection
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    Chapter 7 Evolution of Individual Group Size Preference Can Increase Group-Level Selection and Cooperation
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    Chapter 8 Implications of the Social Brain Hypothesis for Evolving Human-Like Cognition in Digital Organisms
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    Chapter 9 Embodiment of Honeybee’s Thermotaxis in a Mobile Robot Swarm
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    Chapter 10 Positively versus Negatively Frequency-Dependent Selection
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    Chapter 11 Origins of Scaling in Genetic Code
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    Chapter 12 Adaptive Walk on Fitness Soundscape
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    Chapter 13 Breaking Waves in Population Flows
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    Chapter 14 Symbiosis Enables the Evolution of Rare Complexes in Structured Environments
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    Chapter 15 Growth of Structured Artificial Neural Networks by Virtual Embryogenesis
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    Chapter 16 The Microbial Genetic Algorithm
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    Chapter 17 Advances in Artificial Life. Darwin Meets von Neumann
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    Chapter 18 An Analysis of Lamarckian Learning in Changing Environments
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    Chapter 19 Linguistic Selection of Language Strategies
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    Chapter 20 Robots That Say ‘No’
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    Chapter 21 A Genetic Programming Approach to an Appropriation Common Pool Game
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    Chapter 22 Using Pareto Front for a Consensus Building, Human Based, Genetic Algorithm
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    Chapter 23 The Universal Constructor in the DigiHive Environment
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    Chapter 24 A Local Behavior Identification Algorithm for Generative Network Automata Configurations
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    Chapter 25 Solving a Heterogeneous Fleet Vehicle Routing Problem with Time Windows through the Asynchronous Situated Coevolution Algorithm
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    Chapter 26 Modeling Living Systems
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    Chapter 27 Facing N-P Problems via Artificial Life: A Philosophical Appraisal
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    Chapter 28 Observer Based Emergence of Local Endo-time in Living Systems: Theoretical and Mathematical Reasoning
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    Chapter 29 Life and Its Close Relatives
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    Chapter 30 A Loosely Symmetric Model of Cognition
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    Chapter 31 Algorithmic Feasibility of Entity Recognition in Artificial Life
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    Chapter 32 Creative Agency: A Clearer Goal for Artificial Life in the Arts
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    Chapter 33 Agent-Based Toy Modeling for Comparing Distributive and Competitive Free Market
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    Chapter 34 Swarm Cognition and Artificial Life
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    Chapter 35 Life Engine - Creating Artificial Life for Scientific and Entertainment Purposes
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    Chapter 36 An Analysis of New Expert Knowledge Scaling Methods for Biologically Inspired Computing
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    Chapter 37 Impoverished Empowerment: ‘Meaningful’ Action Sequence Generation through Bandwidth Limitation
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    Chapter 38 Influence of Promoter Length on Network Convergence in GRN-Based Evolutionary Algorithms
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    Chapter 39 Cellular Automata Evolution of Leader Election
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    Chapter 40 Update Dynamics, Strategy Exchanges and the Evolution of Cooperation in the Snowdrift Game
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    Chapter 41 Learning in Minority Games with Multiple Resources
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    Chapter 42 Robustness of Market-Based Task Allocation in a Distributed Satellite System
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    Chapter 43 Hierarchical Behaviours: Getting the Most Bang for Your Bit
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    Chapter 44 The Common Stomach as a Center of Information Sharing for Nest Construction
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    Chapter 45 Economics of Specialization in Honeybees
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    Chapter 46 How Two Cooperating Robot Swarms Are Affected by Two Conflictive Aggregation Spots
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    Chapter 47 A Minimalist Flocking Algorithm for Swarm Robots
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    Chapter 48 Networks of Artificial Social Interactions
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    Chapter 49 An Ant-Based Rule for UMDA’s Update Strategy
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    Chapter 50 Niche Particle Swarm Optimization for Neural Network Ensembles
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    Chapter 51 Chaotic Patterns in Crowd Simulation
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    Chapter 52 Simulating Swarm Robots for Collision Avoidance Problem Based on a Dynamic Bayesian Network
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    Chapter 53 Hybridizing River Formation Dynamics and Ant Colony Optimization
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    Chapter 54 Landmark Navigation Using Sector-Based Image Matching
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    Chapter 55 A New Approach for Auto-organizing a Groups of Artificial Ants
Attention for Chapter 1: Investigations of Wilson’s and Traulsen’s Group Selection Models in Evolutionary Computation
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Chapter title
Investigations of Wilson’s and Traulsen’s Group Selection Models in Evolutionary Computation
Chapter number 1
Book title
Advances in Artificial Life. Darwin Meets von Neumann
Published in
Lecture notes in computer science, September 2009
DOI 10.1007/978-3-642-21314-4_1
Book ISBNs
978-3-64-221313-7, 978-3-64-221314-4
Authors

Shelly X. Wu, Wolfgang Banzhaf

Editors

George Kampis, István Karsai, Eörs Szathmáry

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Student > Bachelor 2 18%
Professor 1 9%
Student > Master 1 9%
Researcher 1 9%
Other 1 9%
Readers by discipline Count As %
Computer Science 5 45%
Physics and Astronomy 3 27%
Agricultural and Biological Sciences 1 9%
Business, Management and Accounting 1 9%
Unknown 1 9%