Gary Polhill
Title
Cited by
Cited by
Year
The ODD protocol: a review and first update
V Grimm, U Berger, DL DeAngelis, JG Polhill, J Giske, SF Railsback
Ecological modelling 221 (23), 2760-2768, 2010
22582010
Agent-based land-use models: a review of applications
RB Matthews, NG Gilbert, A Roach, JG Polhill, NM Gotts
Landscape Ecology 22 (10), 1447-1459, 2007
8782007
Agent-based models of land-use and land-cover change
P d’Aquino, P August, A Balmann, T Berger, F Bousquet, E Brondízio, ...
Proc. of an International Workshop, 4-7, 2002
2662002
Agent-based simulation in the study of social dilemmas
NM Gotts, JG Polhill, ANR Law
Artificial Intelligence Review 19 (1), 3-92, 2003
2072003
Using the ODD protocol for describing three agent-based social simulation models of land-use change
JG Polhill, D Parker, D Brown, V Grimm
Journal of Artificial Societies and Social Simulation 11 (2), 3, 2008
2042008
The complexities of agent-based modeling output analysis
JS Lee, T Filatova, A Ligmann-Zielinska, B Hassani-Mahmooei, ...
Journal of Artificial Societies and Social Simulation 18 (4), 2015
1912015
Imitative versus nonimitative strategies in a land-use simulation
JG Polhill, NM Gotts, ANR Law
Cybernetics & Systems 32 (1-2), 285-307, 2001
1412001
Computational models that matter during a global pandemic outbreak: a call to action
F Squazzoni, JG Polhill, B Edmonds, P Ahrweiler, P Antosz, G Scholz, ...
SimSoc Consortium, 2020
1212020
Regime shifts in coupled socio-environmental systems: Review of modelling challenges and approaches
T Filatova, JG Polhill, S Van Ewijk
Environmental Modelling & Software 75, 333-347, 2016
992016
Standardised and transparent model descriptions for agent-based models: Current status and prospects
B Müller, S Balbi, CM Buchmann, L De Sousa, G Dressler, J Groeneveld, ...
Environmental Modelling & Software 55, 156-163, 2014
872014
Using qualitative evidence to enhance an agent-based modelling system for studying land use change
JG Polhill, LA Sutherland, NM Gotts
Journal of Artificial Societies and Social Simulation 13 (2), 10, 2010
842010
Aspiration levels in a land use simulation
NM Gotts, JG Polhill, ANR Law
Cybernetics & Systems 34 (8), 663-683, 2003
642003
The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism
V Grimm, SF Railsback, CE Vincenot, U Berger, C Gallagher, ...
Journal of Artificial Societies and Social Simulation 23 (2), 2020
622020
Illustrating a new conceptual design pattern for agent-based models of land use via five case studies—the MR POTATOHEAD framework
DC Parker, DG Brown, JG Polhill, PJ Deadman, SM Manson
Agent-based modelling in natural resource management, 23-51, 2008
612008
Progress in model-to-model analysis
J Rouchier, C Cioffi-Revilla, JG Polhill, K Takadama
Journal of Artificial Societies and Social Simulation 11 (2), 8, 2008
552008
When and how to imitate your neighbours: lessons from and for FEARLUS
NM Gotts, JG Polhill
Journal of Artificial Societies and Social Simulation 12 (3), 2, 2009
532009
Modelling systemic change in coupled socio-environmental systems
JG Polhill, T Filatova, M Schlüter, A Voinov
Environmental modelling & software 75, 318-332, 2016
502016
Documenting social simulation models: the ODD protocol as a standard
V Grimm, G Polhill, J Touza
Simulating social complexity, 349-365, 2017
482017
Call for transparency of COVID-19 models
CM Barton, M Alberti, D Ames, JA Atkinson, J Bales, E Burke, M Chen, ...
Science 368 (6490), 482-483, 2020
462020
Representation of decision-making in European agricultural agent-based models
R Huber, M Bakker, A Balmann, T Berger, M Bithell, C Brown, ...
Agricultural Systems 167, 143-160, 2018
452018
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