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Artificial Life: Borrowing from Biology

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Table of Contents

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    Book Overview
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    Chapter 1 An Empirical Exploration of a Definition of Creative Novelty for Generative Art
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    Chapter 2 A New Definition of Creativity
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    Chapter 3 Genetically Optimized Architectural Designs for Control of Pedestrian Crowds
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    Chapter 4 Co-evolutionary Learning in the N-player Iterated Prisoner’s Dilemma with a Structured Environment
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    Chapter 5 Evolving Cooperation in the N-player Prisoner’s Dilemma: A Social Network Model
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    Chapter 6 Using Misperception to Counteract Noise in the Iterated Prisoner’s Dilemma
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    Chapter 7 An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms
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    Chapter 8 Evolutionary Intelligence and Communication in Societies of Virtually Embodied Agents
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    Chapter 9 Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics
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    Chapter 10 Evaluation of the Effectiveness of Machine-Based Situation Assessment
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    Chapter 11 Experiments with the Universal Constructor in the DigiHive Environment
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    Chapter 12 Making a Self-feeding Structure by Assembly of Digital Organs
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    Chapter 13 Towards Tailored Communication Networks in Assemblies of Artificial Cells
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    Chapter 14 A Developmental System for Organic Form Synthesis
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    Chapter 15 Layered Random Inference Networks
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    Chapter 16 Modelling Hepatitis B Virus Antiviral Therapy and Drug Resistant Mutant Strains
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    Chapter 17 Multivesicular Assemblies as Real-World Testbeds for Embryogenic Evolutionary Systems
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    Chapter 18 Designing Adaptive Artificial Agents for an Economic Production and Conflict Model
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    Chapter 19 Emergent Societal Effects of Crimino-Social Forces in an Animat Agent Model
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    Chapter 20 A Heterogeneous Particle Swarm
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    Chapter 21 An Analysis of Locust Swarms on Large Scale Global Optimization Problems
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    Chapter 22 Continuous Swarm Surveillance via Distributed Priority Maps
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    Chapter 23 Optimization in Fractal and Fractured Landscapes Using Locust Swarms
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    Chapter 24 A Hybrid Extremal Optimisation Approach for the Bin Packing Problem
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    Chapter 25 Feedback of Delayed Rewards in XCS for Environments with Aliasing States
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    Chapter 26 Memetic Approaches for Optimizing Hidden Markov Models: A Case Study in Time Series Prediction
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    Chapter 27 Artificial Life: Borrowing from Biology
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Title
Artificial Life: Borrowing from Biology
Published by
Springer Berlin Heidelberg, November 2009
DOI 10.1007/978-3-642-10427-5
ISBNs
978-3-64-210426-8, 978-3-64-210427-5
Editors

Korb, Kevin, Randall, Marcus, Hendtlass, Tim

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Student > Ph. D. Student 3 17%
Student > Postgraduate 2 11%
Researcher 2 11%
Lecturer 1 6%
Other 3 17%
Unknown 2 11%
Readers by discipline Count As %
Computer Science 4 22%
Agricultural and Biological Sciences 3 17%
Philosophy 1 6%
Arts and Humanities 1 6%
Environmental Science 1 6%
Other 6 33%
Unknown 2 11%