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Empirical Agent-Based Modelling - Challenges and Solutions

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Cover of 'Empirical Agent-Based Modelling - Challenges and Solutions'

Table of Contents

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    Book Overview
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    Chapter 1 Empiricism and Agent-Based Modelling
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    Chapter 2 A Case Study on Characterising and Parameterising an Agent-Based Integrated Model of Recreational Fishing and Coral Reef Ecosystem Dynamics
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    Chapter 3 An Agent-Based Model of Tourist Movements in New Zealand
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    Chapter 4 Human-Ecosystem Interaction in Large Ensemble-Models
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    Chapter 5 Using Spatially Explicit Marketing Data to Build Social Simulations
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    Chapter 6 Parameterisation of AgriPoliS: A Model of Agricultural Structural Change
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    Chapter 7 The Parameterisation of Households in the SimPaSI Model for East Kalimantan, Indonesia
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    Chapter 8 Parameterisation of Individual Working Dynamics
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    Chapter 9 How to Characterise and Parameterise Agents in Electricity Market Simulation Models: The Case of Genersys
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    Chapter 10 An Agent-Based Model Based on Field Experiments
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    Chapter 11 Companion Modelling with Rice Farmers to Characterise and Parameterise an Agent-Based Model on the Land/Water Use and Labour Migration in Northeast Thailand
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    Chapter 12 Building Empirical Multiagent Models from First Principles When Fieldwork Is Difficult or Impossible
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    Chapter 13 Designing Empirical Agent-Based Models: An Issue of Matching Data, Technical Requirements and Stakeholders Expectations
Attention for Chapter 2: A Case Study on Characterising and Parameterising an Agent-Based Integrated Model of Recreational Fishing and Coral Reef Ecosystem Dynamics
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Chapter title
A Case Study on Characterising and Parameterising an Agent-Based Integrated Model of Recreational Fishing and Coral Reef Ecosystem Dynamics
Chapter number 2
Book title
Empirical Agent-Based Modelling - Challenges and Solutions
Published by
Springer, New York, NY, January 2014
DOI 10.1007/978-1-4614-6134-0_2
Book ISBNs
978-1-4614-6133-3, 978-1-4614-6134-0
Authors

Lei Gao, Atakelty Hailu

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Engineering 1 100%

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