Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642104268, 9783642104275

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Evolutionary Intelligence and Communication in Societies of Virtually Embodied Agents

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_8 ◽

2009 ◽

pp. 73-85

Author(s):

Binh Nguyen ◽

Andrew Skabar

Keyword(s):

Embodied Agents ◽

Evolutionary Intelligence

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Making a Self-feeding Structure by Assembly of Digital Organs

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_12 ◽

2009 ◽

pp. 116-125 ◽

Cited By ~ 1

Author(s):

Sylvain Cussat-Blanc ◽

Hervé Luga ◽

Yves Duthen

Keyword(s):

Feeding Structure

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Experiments with the Universal Constructor in the DigiHive Environment

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_11 ◽

2009 ◽

pp. 106-115 ◽

Cited By ~ 1

Author(s):

Rafal Sienkiewicz

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Towards Tailored Communication Networks in Assemblies of Artificial Cells

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_13 ◽

2009 ◽

pp. 126-135 ◽

Cited By ~ 2

Author(s):

Maik Hadorn ◽

Bo Burla ◽

Peter Eggenberger Hotz

Keyword(s):

Communication Networks ◽

Artificial Cells ◽

Tailored Communication

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Multivesicular Assemblies as Real-World Testbeds for Embryogenic Evolutionary Systems

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_17 ◽

2009 ◽

pp. 169-178 ◽

Cited By ~ 1

Author(s):

Maik Hadorn ◽

Peter Eggenberger Hotz

Keyword(s):

Real World ◽

Evolutionary Systems

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An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_7 ◽

2009 ◽

pp. 63-72 ◽

Cited By ~ 1

Author(s):

Huayang Xie ◽

Mengjie Zhang

Keyword(s):

Evolutionary Algorithms ◽

Backward Chaining ◽

Analysis And Evaluation

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Using Misperception to Counteract Noise in the Iterated Prisoner’s Dilemma

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_6 ◽

2009 ◽

pp. 53-62

Author(s):

Lachlan Brumley ◽

Kevin B. Korb ◽

Carlo Kopp

Keyword(s):

Prisoner's Dilemma ◽

Prisoner’S Dilemma ◽

Iterated Prisoner's Dilemma ◽

Iterated Prisoner’S Dilemma

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Memetic Approaches for Optimizing Hidden Markov Models: A Case Study in Time Series Prediction

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_26 ◽

2009 ◽

pp. 262-271

Author(s):

Lam Thu Bui ◽

Michael Barlow

Keyword(s):

Time Series ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Time Series Prediction

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Layered Random Inference Networks

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_15 ◽

2009 ◽

pp. 149-158

Author(s):

David M. Lingard

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Evaluation of the Effectiveness of Machine-Based Situation Assessment

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10427-5_10 ◽

2009 ◽

pp. 96-105

Author(s):

David M. Lingard ◽

Dale A. Lambert

Keyword(s):

Situation Assessment

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Artificial Life: Borrowing from Biology - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Evolutionary Intelligence and Communication in Societies of Virtually Embodied Agents

Making a Self-feeding Structure by Assembly of Digital Organs

Experiments with the Universal Constructor in the DigiHive Environment

Towards Tailored Communication Networks in Assemblies of Artificial Cells

Multivesicular Assemblies as Real-World Testbeds for Embryogenic Evolutionary Systems

An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms

Using Misperception to Counteract Noise in the Iterated Prisoner’s Dilemma

Memetic Approaches for Optimizing Hidden Markov Models: A Case Study in Time Series Prediction

Layered Random Inference Networks

Evaluation of the Effectiveness of Machine-Based Situation Assessment

Artificial Life: Borrowing from Biology - Lecture Notes in Computer Science
Latest Publications