Publications Peer reviewed articles (16) Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters Author(s): Patricia Ternes; Jonathan A. Ward; Alison Heppenstall; Alison Heppenstall; Vijay Kumar; Le Minh Kieu; Nick Malleson; Nick Malleson Published in: Open Research Europe, 2022, ISSN 2732-5121 Publisher: European Commission DOI: 10.12688/openreseurope.14144.1 Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review Author(s): Nan Cui; Nick Malleson; Victoria Houlden; Alexis Comber Published in: ISPRS International Journal of Geo-Information, 2021, ISSN 2220-9964 Publisher: MDPI DOI: 10.3390/ijgi10070425 Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities Author(s): Alison J. Heppenstall; Andrew Crooks; Nick Malleson; Nick Malleson; Ed Manley; Ed Manley; Jiaqi Ge; Michael Batty Published in: Geographical Analysis, 2020, ISSN 1538-4632 Publisher: Wiley DOI: 10.1111/gean.12267 Modeling agent decision and behavior in the light of data science and artificial intelligence Author(s): Li An, Volker Grimm, Yu Bai, Abigail Sullivan, B.L. Turner, Nicolas Malleson, Alison Heppenstall, Christian Vincenot, Derek Robinson, Xinyue Ye, Jianguo Liu, Emilie Lindkvist, Wenwu Tang, Published in: Environmental Modelling & Software, 2023, ISSN 1364-8152 Publisher: Elsevier BV DOI: 10.1016/j.envsoft.2023.105713 Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter Author(s): R. Clay, J. A. Ward, P. Ternes, L-M Kieu, N. Malleson, Published in: Simulation Modelling Practice and Theory, Issue 113, 2021, ISSN 1569-190X Publisher: Elsevier BV DOI: 10.1016/j.simpat.2021.102386 Calibrating Agent-Based Models Using Uncertainty Quantification Methods Author(s): McCulloch, Josie; Ge, Jiaqi; Ward, Jonathan A.; Heppenstall, Alison; Polhill, J. Gareth; Malleson, Nick Published in: Journal of Artificial Societies & Social Simulation, Issue 25 (2), 2022, ISSN 1460-7425 Publisher: University of Surrey DOI: 10.18564/jasss.4791 Challenges, tasks, and opportunities in modeling agent-based complex systems Author(s): An, Li, Volker Grimm, Abigail Sullivan, B.L. Turner II, Nicolas Malleson, Alison Heppenstall, Christian Vincenot, Derek Robinson, Xinyue Ye, Jianguo Liu, Emilie Lindkvist, Wenwu Tang Published in: Ecological Modelling, Issue 457, 2021, ISSN 0304-3800 Publisher: Elsevier BV DOI: 10.1016/j.ecolmodel.2021.109685 Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources Author(s): Annabel Whipp; Nicolas Malleson; Jonathan A. Ward; Alison J. Heppenstall Published in: ISPRS International Journal of Geo-Information, 2021, ISSN 2220-9964 Publisher: MDPI DOI: 10.3390/ijgi10030131 Data assimilation with agent-based models using Markov chain sampling Author(s): Daniel Tang, Nick Malleson Published in: Open Research Europe, 2022, ISSN 2732-5121 Publisher: European Commission DOI: 10.12688/openreseurope.14800.1 Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility Author(s): Tomas Crols, Nick Malleson Published in: GeoInformatica, Issue 23/2, 2019, Page(s) 201-220, ISSN 1384-6175 Publisher: Kluwer Academic Publishers DOI: 10.1007/s10707-019-00346-1 A stochastic schedule-following simulation model of bus routes Author(s): Le-Minh Kieu, Dong Ngoduy, Nicolas Malleson, Edward Chung Published in: Transportmetrica B: Transport Dynamics, Issue 7/1, 2019, Page(s) 1588-1610, ISSN 2168-0566 Publisher: Taylor and Francis Inc. DOI: 10.1080/21680566.2019.1670118 Dealing with uncertainty in agent-based models for short-term predictions Author(s): Le-Minh Kieu, Nicolas Malleson, Alison Heppenstall Published in: Royal Society Open Science, Issue 7/1, 2020, Page(s) 191074, ISSN 2054-5703 Publisher: Royal Society Open Science DOI: 10.1098/rsos.191074 Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter Author(s): Nick Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew West, Alison Heppenstall Published in: Journal of Artificial Societies and Social Simulation, Issue 23/3, 2020, ISSN 1460-7425 Publisher: University of Surrey DOI: 10.18564/jasss.4266 Dynamic calibration with approximate Bayesian computation for a microsimulation of disease spread Author(s): Molly Asher; Nik Lomax; Karyn Morrissey; Fiona Spooner; Nick Malleson Published in: Scientific Reports, Issue 13 (8637), 2023, ISSN 2045-2322 Publisher: Nature Publishing Group DOI: 10.1038/s41598-023-35580-z Agent-based modelling for Urban Analytics: State of the art and challenges Author(s): N. Malleson, Birkin, M., Birks, D., Ge, J., Heppenstall, A., Manley, E., McCulloch, J., Ternes, P. Published in: AI Communications, Issue 35 (4), 2022, Page(s) 393-406, ISSN 0921-7126 Publisher: IOS Press DOI: 10.3233/aic-220114 Towards real-time predictions using emulators of agent-based models Author(s): Minh Kieu, Hoang Nguyen, Jonathan A. Ward, Nick Malleson Published in: Journal of Simulation, 2022, ISSN 1747-7786 Publisher: Taylor & Francis DOI: 10.1080/17477778.2022.2080008 Other (7) An agent-based model of the 2020 international policy diffusion in response to the COVID-19 pandemic with particle filter Author(s): Oswald, Yannick; Malleson, Nick; Suchak, Keiran Published in: arxiv, 2023 Publisher: arxiv DOI: 10.48550/arxiv.2302.11277 Finding the maximum-a-posteriori behaviour of agents in an agent-based model Author(s): Daniel Tang Published in: arXiv [cs.MA], 2020 Publisher: arXiv.org Dealing with uncertainty in agent-based models for short-term predictions Author(s): Le-Minh Kieu, Nicolas Malleson, Alison Heppenstall Published in: arXiv [cs.MA], 2020 Publisher: arXiv.org Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter Author(s): Nick Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew A. West, Alison Heppenstall Published in: arXiv [cs.MA], 2020 Publisher: arXiv.org Data assimilation in Agent-based models using creation and annihilation operators Author(s): Daniel Tang Published in: arXiv [cs.MA], 2020 Publisher: arXiv.org Agent-based modelling for Urban Analytics: State of the art and challenges Author(s): Malleson, Nick; Birkin, Mark; Birks, Daniel; Ge, Jiaqi; Heppenstall, Alison; Manley, Ed; McCulloch, Josie; Ternes, Patricia Published in: arXiv [cs.MA], 2022 Publisher: arXiv DOI: 10.48550/arxiv.2210.06955 Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing Author(s): Tang, Daniel Published in: arXiv, 2020 Publisher: arXiv DOI: 10.48550/arxiv.2005.05086 Conference proceedings (3) Predicting Pedestrian Counts using Machine Learning Author(s): Molly Asher; Yannick Oswald; Nick Malleson Published in: AGILE: GIScience Series, 2023 Publisher: AGILE DOI: 10.5194/agile-giss-4-18-2023 Towards the development of societal twins Author(s): Dan Birks, Alison Heppenstall, Nick Malleson Published in: 24th European Conference on Artificial Intelligence - ECAI 2020, 2020 Publisher: ECAI2020 Building Cities from Slime Mould, Agents and Quantum Field Theory Author(s): Alison Heppenstall, Nick Malleson Published in: AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, 2020, ISBN 978-1-4503-7518-4 Publisher: International Foundation for Autonomous Agents and Multiagent Systems Book chapters (2) Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter Author(s): Robert Clay, Le-Minh Kieu, Jonathan A. Ward, Alison Heppenstall, Nick Malleson Published in: Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection - 18th International Conference, PAAMS 2020, L'Aquila, Italy, October 7–9, 2020, Proceedings, Issue 12092, 2020, Page(s) 68-79, ISBN 978-3-030-49777-4 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-49778-1_6 Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter Author(s): R. Clay, L-M Kieu, J. A. Ward, A. Heppenstall, N. Malleson Published in: Lecture Notes in Computer Science, 2022, ISSN 0302-9743 Publisher: Springer DOI: 10.1007/978-3-030-49778-1 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
