Advances in Artificial Life - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540288480, 9783540318163

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Whisker-Based Texture Discrimination on a Mobile Robot

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_31 ◽

2005 ◽

pp. 302-311 ◽

Cited By ~ 18

Author(s):

Miriam Fend

Keyword(s):

Mobile Robot ◽

Texture Discrimination

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Explicit Collision Simulation of Chemical Reactions in a Graph Based Artificial Chemistry

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_73 ◽

2005 ◽

pp. 725-733 ◽

Cited By ~ 4

Author(s):

Gil Benkö ◽

Christoph Flamm ◽

Peter F. Stadler

Keyword(s):

Chemical Reactions ◽

Artificial Chemistry

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Genetic Assimilation and Canalisation in the Baldwin Effect

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_36 ◽

2005 ◽

pp. 353-362 ◽

Cited By ~ 2

Author(s):

Rob Mills ◽

Richard A. Watson

Keyword(s):

Genetic Assimilation ◽

Baldwin Effect ◽

The Baldwin Effect

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Multi-population Cooperative Particle Swarm Optimization

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_88 ◽

2005 ◽

pp. 874-883 ◽

Cited By ~ 25

Author(s):

Ben Niu ◽

Yunlong Zhu ◽

Xiaoxian He

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization

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Construction-Based and Inspection-Based Universal Self-replication

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_81 ◽

2005 ◽

pp. 805-814

Author(s):

André Stauffer ◽

Daniel Mange ◽

Gianluca Tempesti

Keyword(s):

Self Replication

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Artificial Metabolic System: An Evolutionary Model for Community Organization in Metabolic Networks

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_72 ◽

2005 ◽

pp. 716-724 ◽

Cited By ~ 1

Author(s):

Naoaki Ono ◽

Yoshi Fujiwara ◽

Kikuo Yuta

Keyword(s):

Metabolic Networks ◽

Community Organization ◽

Evolutionary Model ◽

Metabolic System

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Cultural and Biological Evolution of Phonemic Speech

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_62 ◽

2005 ◽

pp. 614-623

Author(s):

Bart de Boer

Keyword(s):

Biological Evolution

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Ant Clustering Embeded in Cellular Automata

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_57 ◽

2005 ◽

pp. 562-571 ◽

Cited By ~ 1

Author(s):

Xiaohua Xu ◽

Ling Chen ◽

Ping He

Keyword(s):

Cellular Automata

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Using Dynamic Behavior Prediction to Guide an Evolutionary Search for Designing Two-Dimensional Cellular Automata

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_50 ◽

2005 ◽

pp. 491-499

Author(s):

Gina Maira Barbosa de Oliveira ◽

Sandra Regina Cardoso Siqueira

Keyword(s):

Cellular Automata ◽

Dynamic Behavior ◽

Evolutionary Search ◽

Two Dimensional ◽

Behavior Prediction

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The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning

Advances in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/11553090_42 ◽

2005 ◽

pp. 413-422 ◽

Cited By ~ 4

Author(s):

J. J McDowell ◽

Zahra Ansari

Keyword(s):

Reinforcement Learning ◽

Evolutionary Algorithm ◽

Emergent Property

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Advances in Artificial Life - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Whisker-Based Texture Discrimination on a Mobile Robot

Explicit Collision Simulation of Chemical Reactions in a Graph Based Artificial Chemistry

Genetic Assimilation and Canalisation in the Baldwin Effect

Multi-population Cooperative Particle Swarm Optimization

Construction-Based and Inspection-Based Universal Self-replication

Artificial Metabolic System: An Evolutionary Model for Community Organization in Metabolic Networks

Cultural and Biological Evolution of Phonemic Speech

Ant Clustering Embeded in Cellular Automata

Using Dynamic Behavior Prediction to Guide an Evolutionary Search for Designing Two-Dimensional Cellular Automata

The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning

Advances in Artificial Life - Lecture Notes in Computer Science
Latest Publications