Designing and running Simulation experiments
33
Simulation experiments for hypothesis testing
Agent-based modelling for archaeologists. From concept to application and publication
Course overview
Introduction
1
Introduction to ABM
2
ABM in archaeology
3
Reading an ABM paper
Learning to model processes
4
How to do ABM
5
Conceptual modelling
6
Example: Settlement size, population and migration
7
Your turn!
Preparing as a software developer
8
A simulation modeller as a software: a workflow
9
Git and GitHub
10
Creating your simulation model repository
11
Introduction to NetLogo
Programming for simulation modelling
12
NetLogo language basics
13
Sneak-peak at other languages
14
NetLogo tutorials
Pond Trade (I): basics and cellular automata
15
Conceptual design or modeling: the Pond Trade model
16
Getting started with NetLogo
Pond Trade (II): agents and mechanisms
17
Defining and initialising agents
18
Programming agent AI
19
Implementing mechanisms
Pond Trade (III): advanced mechanisms, output stats and modularity
20
Implementing complex agents
21
Implementing output statistics
22
Identifying and formatting submodels
Messara Trade (I): case, design and spatial input data
23
Case study and conceptual model
24
Importing spatial data: elevation and site data
25
Calculating water flow accumulation
Messara Trade (II): time-series input data and plugging modules
26
Importing time series: weather data
27
Integrating a submodel
Messara Trade (III): integrating complex parts
28
Scaling up route calculation
29
Integrating complex submodels
30
Verifying and improving
Designing and running Simulation experiments
31
Using NetLogo’s Behavior Space
32
Simulation experiments for parameter exploration
33
Simulation experiments for hypothesis testing
Analysis of simulation results
34
Loading and preparing simulation results
35
Visualisation of simulation results
36
Sensitivity analysis of simulation models
37
Conclusion and free practice
References
Designing and running Simulation experiments
33
Simulation experiments for hypothesis testing
33
Simulation experiments for hypothesis testing
32
Simulation experiments for parameter exploration
34
Loading and preparing simulation results