Empirical Agent-Based Modelling - Challenges and Solutions

Overview of attention for book

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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 9: How to Characterise and Parameterise Agents in Electricity Market Simulation Models: The Case of Genersys

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Citations

dimensions_citation: 39 Dimensions

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mendeley: 1 Mendeley

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So far, Dimensions has found 39 publications that cite this research output.

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What do you want theory for? - A pragmatic analysis of the roles of “theory” in agent-based modelling

Article in Environmental Modelling & Software (October 2023)

A scalable approach to improve CSA targeting practices among smallholder farmers

Article in Heliyon (September 2023)

A Largely Unsupervised Domain-Independent Qualitative Data Extraction Approach for Empirical Agent-Based Model Development

Article in Algorithms (July 2023)

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