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Spatio-Temporal Information for Society: Classes Winter Semester 2014-2015

Classes

Ref Topic Models Exercise
1 Introduction
Introduction
2 Lua for TerraME
Lua for TerraME Lua Examples Exercise 01 Sample Latex bibliography
3 System Dynamics
Systems Theory Code for Systems Theory class
Water Flows in Mono Lake Mono Lake Code in TerraME Exercise 2 - The Brine Shrimp of Mono Lake
DaisyworldDaisyworld review paper Daisyworld model Daisyworld on Cellular Automata (reference for exercise 3
4 Celular Automata
Cellular Automata CA models (Wolfram and Life) Exercise 03 - Cellular Automata
5 Models in Cell Spaces
Hydrological Model Water runoff model
Fire Propagation Fire Spread Model PhD thesis in Fire Propagation
6 Agent-based modelling
ABM Lecture ABM Examples
Urban Models Barros City Model Barros PhD Thesis Ex 04 - Extensions of Barros City Models
7 Societal modelling
Game Theory and Evolution of Cooperation Game Theory Ex-05 Variations on Prisioner's Dilemma
Sugarscape Code Sugarscape Exercise Sugarscape
8 Land Change
A Case Study: Land Change in Amazonia
Building a Land Change Database Deforestation data
Land Change Modelling Databases, Scripts Deforestation Model + Scripts

Additional library for the course

We have created an additional TerraME library to help with the course examples and exercises.

Install the Library for teaching TerraME in the directory <TerraME directory/contrib/courselib>. In Windows, this should be C:/TerraME/contrib/courselib. In Mac and Linux, this should be /usr/local/terrame/contrib/courselib. Create the subdirectory <TerraME directory/contrib/> is it does not already exist.

Papers for Final Projects

The final project consists of an implementation and discussion of an ABM model. Each of the references below contains a description of a model.

Emily Harason Sex, Culture and Conflict in SugarScape. From J Epstein, R. Axtell, Growing Artificial Societies: Social Science from the Bottom Up. MIT Press, 1996.
Trade in SugarScape. From J Epstein, R. Axtell, Growing Artificial Societies: Social Science from the Bottom Up. MIT Press, 1996.
Nikolai Gorte S Bergin (2012). Torsten Hägerstrand’s Spatial Innovation Diffusion Model. Available in CoMSES Computational Model Library.
Fabian Röhr S Heckbert (2014). MayaSim: An agent-based model of the ancient Maya social-ecological system. Available in CoMSES Computational Model Library.
Heinrich Löwen R Axelrod (1997). “The dissemination of culture - A model with local convergence and global polarization.” Journal of Conflict Resolution 41: 203-226.Replicated in CoMSES Computational Model Library.
Stefan Fuerst J Pepper and B Smuts (2000). The evolution of cooperation in an ecological context: an agent-based model. Replicated in CoMSES Computational Model Library.
K Kahn (2014) A model of the Spanish Flu Pandemic. Available in CoMSES Computational Model Library.
Sebastian Niklasch Schindler J (2012) A simple Multi-Agent System of the Tragedy Of the Commons. Available in CoMSES Computational Model Library.
Simon Schoemaker A K Knittel, R Riolo and R Snow (2011). Development and evaluation of an agent-based model of sexual partnership. Adaptive Behavior (available at CoMSES Computational Model Library.
Tobias Brüggentisch M Janssen and N.D. Rollins (2012). Evolution of cooperation in asymmetric commons dilemmas. Journal of Economic Behavior and Organization, 81: 220-229. Available in CoMSES Computational Model Library).
Ahmed Hussein Axtell, Epstein, et al. (2002) Population Growth and Collapse in a Multi-Agent Model of the Kayenta Anasazi in Long House Valley. PNAS 99(3): 7275-7279. Replicated in M Janssen and available in CoMSES Computational Model Library.
S Bandini, F Celada, S Manzoni, G Vizzari (2007). Modelling the immune system: the case of situated cellular agents, Natural Computing, 6(1):19-32.
H. Balzter, P. W. Braun, W. Köhler (1998) Cellular automata models for vegetation dynamics. Ecological Modelling 107(2-3):113-125
Daniel Schumaker S. G. Berjak, J. W. Hearne (2002) An improved cellular automaton model for simulating fire in a spatially heterogeneous Savanna system. Ecological Modelling 148(2):133–15
Daniel Sawatzky S. Yassemi, S. Dragićevića, M. Schmidt(2008), Design and implementation of an integrated GIS-based cellular automata model to characterize forest fire behaviour, Ecological Modelling, 210(1–2), 71–84
Rene Unrau G.Ch Sirakoulis, I. Karafyllidis, A. Thanailakis (2000) A cellular automaton model for the effects of population movement and vaccination on epidemic propagation. Ecological Modelling 133(3): 209–223
Yusi Ji S. Hoya White, A. Martín del Rey, G. Rodríguez Sánchez(2007), Modeling epidemics using cellular automata. Applied Mathematics and Computation, 186(1):193-202
Alexander Shirokow, Lars Syfuß C. Beauchemin, J. Samuel, J. Tuszynskia (2005) A simple cellular automaton model for influenza A viral infections. Journal of Theoretical Biology 232(2) 223–234
Pradeep Kumar Medeiros, L. C., Castilho, C. A. R., Braga, C., de Souza, W. V., Regis, L., Monteiro, A. M. V. (2011). Modeling the dynamic transmission of dengue fever: investigating disease persistence. PLOS neglected tropical diseases, 5(1), e942.
R. Toivonen, J. Onnela, J. Saramaki, J. Hyvonen, K. Kaski (2006) A model for social networks. Physica A: Statistical Mechanics and its Applications 371(2):851–860
Jigeeshu Joshi Sławomir Nikiel (2012) Game logic simulation based on Cellular automata and flocking techniques
Nadezhda Kutsenko F. Feitosa, A.M. Monteiro, Urban Conventions and Residential Location Choice. CAMUSS Conference (Cellular Automata Modeling forUrban and Spatial Systems 2012)