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Advances in Artificial Life. Darwin Meets von Neumann

Overview of attention for book
Cover of 'Advances in Artificial Life. Darwin Meets von Neumann'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  55. Altmetric Badge
    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 17: Advances in Artificial Life. Darwin Meets von Neumann
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
35 Mendeley
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Chapter title
Advances in Artificial Life. Darwin Meets von Neumann
Chapter number 17
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_17
Book ISBNs
978-3-64-221313-7, 978-3-64-221314-4
Authors

Jeff Clune, Benjamin E. Beckmann, Robert T. Pennock, Charles Ofria

Editors

George Kampis, István Karsai, Eörs Szathmáry

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 31%
Student > Master 7 20%
Researcher 5 14%
Other 3 9%
Professor > Associate Professor 3 9%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Computer Science 21 60%
Engineering 3 9%
Agricultural and Biological Sciences 3 9%
Social Sciences 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 5 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 December 2016.
All research outputs
#2,301,002
of 8,763,848 outputs
Outputs from Lecture notes in computer science
#1,698
of 6,771 outputs
Outputs of similar age
#101,145
of 299,636 outputs
Outputs of similar age from Lecture notes in computer science
#62
of 163 outputs
Altmetric has tracked 8,763,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 60th percentile.
So far Altmetric has tracked 6,771 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 299,636 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.