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Artificial Life and Intelligent Agents

Overview of attention for book
Cover of 'Artificial Life and Intelligent Agents'

Table of Contents

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    Book Overview
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    Chapter 1 A Schelling Model with Immigration Dynamics
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    Chapter 2 Evolving Complete L-Systems: Using Genetic Algorithms for the Generation of Realistic Plants
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    Chapter 3 subCULTron - Cultural Development as a Tool in Underwater Robotics
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    Chapter 4 A Modal Logic Analysis of a Line-Following Robot
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    Chapter 5 The Self-Generating Model: An Adaptation of the Self-organizing Map for Intelligent Agents and Data Mining
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    Chapter 6 A Grammar-Directed Heuristic Optimisation Algorithm and Comparisons with Grammatical Evolution on the Artificial Ant Problem
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    Chapter 7 Synergies Between Reinforcement Learning and Evolutionary Dynamic Optimisation
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    Chapter 8 Improving the Effectiveness of Genetic Programming Using Continuous Self-adaptation
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    Chapter 9 Capturing Human Intelligence for Modelling Cognitive-Based Clinical Decision Support Agents
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    Chapter 10 Identifying Human-Like Qualities for Non-player Characters
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    Chapter 11 Governing Narrative Events with Tropes as Institutional Norms
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    Chapter 12 Modular Games AI Benchmark
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    Chapter 13 GCG Aviator: A Decision Support Agent for Career Management
Attention for Chapter 7: Synergies Between Reinforcement Learning and Evolutionary Dynamic Optimisation
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Citations

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Chapter title
Synergies Between Reinforcement Learning and Evolutionary Dynamic Optimisation
Chapter number 7
Book title
Artificial Life and Intelligent Agents
Published by
Springer, Cham, June 2016
DOI 10.1007/978-3-319-90418-4_7
Book ISBNs
978-3-31-990417-7, 978-3-31-990418-4
Authors

Aman Soni, Peter R. Lewis, Anikó Ekárt, Soni, Aman, Lewis, Peter R., Ekárt, Anikó

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 40%
Student > Doctoral Student 2 40%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Engineering 1 20%
Unknown 1 20%

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