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
23322010
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
8892007
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
2702002
Agent-based simulation in the study of social dilemmas
NM Gotts, JG Polhill, ANR Law
Artificial Intelligence Review 19 (1), 3-92, 2003
2102003
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
2092015
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
2062008
Imitative versus nonimitative strategies in a land-use simulation
JG Polhill, NM Gotts, ANR Law
Cybernetics & Systems 32 (1-2), 285-307, 2001
1442001
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
1352020
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
1102016
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
892014
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
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
802020
Aspiration levels in a land use simulation
NM Gotts, JG Polhill, ANR Law
Cybernetics & Systems 34 (8), 663-683, 2003
642003
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
582008
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
532020
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
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
512018
Documenting social simulation models: the ODD protocol as a standard
V Grimm, G Polhill, J Touza
Simulating social complexity, 349-365, 2017
502017
Modelling systemic change in coupled socio-environmental systems
JG Polhill, T Filatova, M Schlüter, A Voinov
Environmental modelling & software 75, 318-332, 2016
502016
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