default search action
J. Gareth Polhill
J. Gary Polhill – Gary Polhill – John Gareth Polhill
Person information
- affiliation: James Hutton Institute, Aberdeen, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j45]Sebastian Achter
, Melania Borit
How to conduct more systematic reviews of agent-based models and foster theory development - Taking stock and looking ahead. Environ. Model. Softw. 173: 105867 (2024) - [j44]Wander Jager, Bertha Guijarro-Berdiñas, Loes Bouman
Simulating the Role of Norms in Processes of Social Innovation: Three Case Studies. J. Artif. Soc. Soc. Simul. 27(1) (2024) - [c18]Matthew P. Hare, Doug Salt, Ric Colasanti, Richard Milton, Mike Batty, Alison J. Heppenstall, Gary Polhill:
Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats. AAMAS 2024: 2300-2302 - 2023
- [j43]Christian Troost
How to keep it adequate: A protocol for ensuring validity in agent-based simulation. Environ. Model. Softw. 159: 105559 (2023) - [j42]Patrycja Antosz, Dan Birks, Bruce Edmonds
What do you want theory for? - A pragmatic analysis of the roles of "theory" in agent-based modelling. Environ. Model. Softw. 168: 105802 (2023) - [j41]Nanda Wijermans
Agent decision-making: The Elephant in the Room - Enabling the justification of decision model fit in social-ecological models. Environ. Model. Softw. 170: 105850 (2023) - [c17]Alison J. Heppenstall, J. Gary Polhill, Mike Batty, Matthew P. Hare, Doug Salt, Richard Milton:
Exascale Agent-Based Modelling for Policy Evaluation in Real-Time (ExAMPLER) (Short Paper). GIScience 2023: 38:1-38:5 - [c16]Bruce Edmonds
Combining Constraint-Based and Imperative Programming in MABS for More Reliable Modelling. MABS 2023: 46-57 - 2022
- [j40]Josie McCulloch, Jiaqi Ge
Calibrating Agent-Based Models Using Uncertainty Quantification Methods. J. Artif. Soc. Soc. Simul. 25(2) (2022) - [j39]Firouzeh Taghikhah
Machine-assisted agent-based modeling: Opening the black box. J. Comput. Sci. 64: 101854 (2022) - 2021
- [j38]Daniel Ayllón, Steven F. Railsback, Cara Gallagher, Jacqueline Augusiak, Hans Baveco
Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support. Environ. Model. Softw. 136: 104932 (2021) - [j37]J. Gareth Polhill
Using Agent-Based Models for Prediction in Complex and Wicked Systems. J. Artif. Soc. Soc. Simul. 24(3) (2021) - [c15]Patrycja Antosz
Informing Agent-Based Models of Social Innovation Uptake. IWANN (2) 2021: 105-117 - [c14]Gary Polhill
Sensitivity Analysis of an Empirical Agent-Based Model of District Heating Network Adoption. IWANN (2) 2021: 118-127 - [d1]Wander Jager, Amparo Alonso-Betanzos
Models of the five SMARTEES case study clusters. Zenodo, 2021 - 2020
- [j36]Volker Grimm, Steven F. Railsback, Christian Ernest Vincenot
The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism. J. Artif. Soc. Soc. Simul. 23(2) (2020) - [j35]Flaminio Squazzoni, J. Gareth Polhill
Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action. J. Artif. Soc. Soc. Simul. 23(2) (2020)
2010 – 2019
- 2019
- [j34]J. Gareth Polhill
Crossing the chasm: a 'tube-map' for agent-based social simulation of policy scenarios in spatially-distributed systems. GeoInformatica 23(2): 169-199 (2019) - [j33]Neil Urquhart, Simon T. Powers, Zoe Wall, Achille Fonzone, Jiaqi Ge
Simulating the Actions of Commuters Using a Multi-Agent System. J. Artif. Soc. Soc. Simul. 22(2) (2019) - [c13]Douglas Salt
A NetLogo Extension to Secure Data Using GNUs Pretty Good Privacy Software Suite. ESSA 2019: 299-312 - 2018
- [j32]Jiaqi Ge
From oil wealth to green growth - An empirical agent-based model of recession, migration and sustainable urban transition. Environ. Model. Softw. 107: 119-140 (2018) - 2017
- [j31]Xiongbing Jin, Kirsten Robinson, Allen Lee
A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models. Environ. Model. Softw. 96: 172-180 (2017) - [j30]Nicholas Mark Gotts, J. Gary Polhill
Experiments with a Model of Domestic Energy Demand. J. Artif. Soc. Soc. Simul. 20(3) (2017) - [p2]Gary Polhill
The Importance of Ontological Structure: Why Validation by 'Fit-to-Data' Is Insufficient. Simulating Social Complexity 2017: 141-172 - [p1]Volker Grimm, Gary Polhill
Documenting Social Simulation Models: The ODD Protocol as a Standard. Simulating Social Complexity 2017: 349-365 - 2016
- [j29]J. Gary Polhill
Preface to the thematic issue on modelling systemic change in coupled socio-environmental systems. Environ. Model. Softw. 75: 317 (2016) - [j28]J. Gary Polhill
Modelling systemic change in coupled socio-environmental systems. Environ. Model. Softw. 75: 318-332 (2016) - [j27]Tatiana Filatova
Regime shifts in coupled socio-environmental systems: Review of modelling challenges and approaches. Environ. Model. Softw. 75: 333-347 (2016) - [j26]Jiaqi Ge
Exploring the Combined Effect of Factors Influencing Commuting Patterns and CO2 Emissions in Aberdeen Using an Agent-Based Model. J. Artif. Soc. Soc. Simul. 19(3) (2016) - 2015
- [j25]J. Gary Polhill
Extracting OWL Ontologies from Agent-Based Models: A Netlogo Extension. J. Artif. Soc. Soc. Simul. 18(2) (2015) - [j24]Ju-Sung Lee, Tatiana Filatova
The Complexities of Agent-Based Modeling Output Analysis. J. Artif. Soc. Soc. Simul. 18(4) (2015) - [j23]Noelia Sánchez-Maroño
An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization. Neural Process. Lett. 42(1): 89-118 (2015) - [c12]Jiaqi Ge
Preliminary Results from an Agent-Based Model of the Daily Commute in Aberdeen and Aberdeenshire, UK. ESSA 2015: 129-142 - [c11]Gary Polhill
How Precise Are the Specifications of a Psychological Theory? Comparing Implementations of Lindenberg and Steg's Goal-Framing Theory of Everyday Pro-environmental Behaviour. ESSA 2015: 341-354 - [c10]Gary Polhill
Lessons Learned Replicating the Analysis of Outputs from a Social Simulation of Biodiversity Incentivisation. ESSA 2015: 355-365 - [c9]Noelia Sánchez-Maroño
Designing Decision Trees for Representing Sustainable Behaviours in Agents. PAAMS (Special Sessions) 2015: 169-176 - 2014
- [j22]Birgit Müller
Standardised and transparent model descriptions for agent-based models: Current status and prospects. Environ. Model. Softw. 55: 156-163 (2014) - [j21]Peter Edwards
Lessons learnt from the deployment of a semantic virtual research environment. J. Web Semant. 27-28: 70-77 (2014) - [c8]Noelia Sánchez-Maroño
Influence of internal values and social networks for achieving sustainable organizations. ECAI 2014: 1179-1184 - 2013
- [j20]Gary Polhill
Nonlinearities in biodiversity incentive schemes: A study using an integrated agent-based and metacommunity model. Environ. Model. Softw. 45: 74-91 (2013) - [c7]Edoardo Pignotti, Gary Polhill
Using provenance to analyse agent-based simulations. EDBT/ICDT Workshops 2013: 319-322 - [c6]Edoardo Pignotti, Gary Polhill
PROV-O provenance traces from agent-based social simulation. EDBT/ICDT Workshops 2013: 333-334 - [c5]Noelia Sánchez-Maroño
A Decision-Making Model for Environmental Behavior in Agent-Based Modeling. IWANN (1) 2013: 152-160 - 2012
- [c4]Noelia Sánchez-Maroño
An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment. PAAMS (Special Sessions) 2012: 257-264 - 2011
- [j19]Edoardo Pignotti, Peter Edwards
Enhancing workflow with a semantic description of scientific intent. J. Web Semant. 9(2): 222-244 (2011) - 2010
- [j18]Nicholas Mark Gotts, J. Gareth Polhill
Size Matters: Large-Scale Replications of Experiments with FEARLUS. Adv. Complex Syst. 13(4): 453-467 (2010) - [j17]J. Gareth Polhill, Lee-Ann Sutherland, Nicholas Mark Gotts:
Using Qualitative Evidence to Enhance an Agent-Based Modelling System for Studying Land Use Change. J. Artif. Soc. Soc. Simul. 13(2) (2010) - [j16]Gary Polhill:
ODD Updated. J. Artif. Soc. Soc. Simul. 13(4) (2010)
2000 – 2009
- 2009
- [j15]Nicholas Mark Gotts, J. Gareth Polhill:
When and How to Imitate Your Neighbours: Lessons from and for FEARLUS. J. Artif. Soc. Soc. Simul. 12(3) (2009) - 2008
- [j14]Gary Polhill, Dawn Cassandra Parker, Daniel Brown, Volker Grimm:
Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change. J. Artif. Soc. Soc. Simul. 11(2) (2008) - [j13]Juliette Rouchier, Claudio Cioffi-Revilla, Gary Polhill, Keiki Takadama:
Progress in Model-To-Model Analysis. J. Artif. Soc. Soc. Simul. 11(2) (2008) - [c3]Edoardo Pignotti, Peter Edwards
Enhancing Workflow with a Semantic Description of Scientific Intent. ESWC 2008: 644-658 - 2007
- [j12]Luis R. Izquierdo
Transient and asymptotic dynamics of reinforcement learning in games. Games Econ. Behav. 61(2): 259-276 (2007) - [j11]Gary Polhill, Edoardo Pignotti, Nicholas Mark Gotts, Peter Edwards, Alun D. Preece:
A Semantic Grid Service for Experimentation with an Agent-Based Model of Land-Use Change. J. Artif. Soc. Soc. Simul. 10(2) (2007) - [j10]Gary Polhill, Bruce Edmonds:
Open Access for Social Simulation. J. Artif. Soc. Soc. Simul. 10(3) (2007) - 2006
- [j9]J. Gareth Polhill
What every agent-based modeller should know about floating point arithmetic. Environ. Model. Softw. 21(3): 283-309 (2006) - [j8]Luis R. Izquierdo, Gary Polhill:
Is Your Model Susceptible to Floating-Point Errors? J. Artif. Soc. Soc. Simul. 9(4) (2006) - [c2]Nicholas Mark Gotts, J. Gareth Polhill
Narrative Scenarios, Mediating Formalisms, and the Agent-Based Simulation of Land Use Change. EPOS 2006: 99-116 - 2005
- [j7]Gary Polhill, Luis R. Izquierdo, Nicholas Mark Gotts:
The Ghost in the Model (and Other Effects of Floating Point Arithmetic). J. Artif. Soc. Soc. Simul. 8(1) (2005) - [j6]Gary Polhill, Luis R. Izquierdo:
Lessons Learned from Converting the Artificial Stock Market to Interval Arithmetic. J. Artif. Soc. Soc. Simul. 8(2) (2005) - [c1]Edoardo Pignotti, Peter Edwards
Semantic support for computational land-use modelling. CCGRID 2005: 840-847 - 2004
- [j5]Luis R. Izquierdo, Nicholas Mark Gotts, J. Gareth Polhill:
Case-Based Reasoning, Social Dilemmas, and a New Equilibrium Concept. J. Artif. Soc. Soc. Simul. 7(3) (2004) - 2003
- [j4]Nicholas Mark Gotts, J. Gareth Polhill
Agent-Based Simulation in the Study of Social Dilemmas. Artif. Intell. Rev. 19(1): 3-92 (2003) - [j3]Nicholas Mark Gotts, J. Gareth Polhill
Aspiration Levels in a Land Use Simulation. Cybern. Syst. 34(8): 663-683 (2003) - 2001
- [j2]J. Gareth Polhill
Imitative versus Nonimitative Strategies in a Land-use Simulation. Cybern. Syst. 32(1): 285-307 (2001) - [j1]J. Gareth Polhill
An approach to guaranteeing generalisation in neural networks. Neural Networks 14(8): 1035-1048 (2001)
1990 – 1999
- 1995
- [b1]John Gareth Polhill:
Guaranteeing generalisation in neural networks. University of St Andrews, UK, 1995
Coauthor Index
Nicholas Mark Gotts
aka: Nick Gotts
aka: Nick Gotts
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-09 21:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: