Dhirendra Singh

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Lin PadghamProfessor of Artificial Intelligence, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Billie Giles-CortiCentre for Urban Research, RMIT UniversityVerified email at rmit.edu.au
Afshin JafariRMIT UniversityVerified email at rmit.edu.au
Lucy D GunnResearch Fellow, RMIT UniversityVerified email at RMIT.edu.au
Alan BothSenior Lecturer, Geospatial ScienceVerified email at rmit.edu.au
Sebastian SardiñaProfessor at School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Brian LoganNottingham UniversityVerified email at cs.nott.ac.uk
Kai NagelVerified email at vsp.tu-berlin.de
Qingyu ChenBiomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of HealthVerified email at yale.edu
Jeffrey ChanSchool of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Chaminda BulumullaRMIT UniversityVerified email at rmit.edu.au
Floriano ZiniFree University of Bozen-BolzanoVerified email at unibz.it
Luciano SerafiniHead of Data and Knowledge Management Research Unit, Fondazione Bruno Kessler, Trento, ItalyVerified email at fbk.eu
Bhagya Niroshan WickramasingheRoyal Meolbourne Institute of TechnologyVerified email at rmit.edu.au
Stéphane AiriauLAMSADE, Université Paris DauphineVerified email at dauphine.fr
Ralph HorneRMIT UniversityVerified email at rmit.edu.au
Leorey MarquezResearch Scientist, CSIROVerified email at csiro.au
Vincent LemialeGroup Leader, CSIROVerified email at csiro.au
Koen HindriksVrije Universiteit (VU) AmsterdamVerified email at vu.nl
James BruseyProfessor of Computer Science, Coventry UniversityVerified email at coventry.ac.uk

Dhirendra Singh

Principal Research Scientist, CSIRO's Data61

Verified email at data61.csiro.au - Homepage

Agent-based Modelling Simulation Agent Programming Artificial Intelligence Data Science


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Integrating BDI agents with Agent-Based simulation platforms D Singh, L Padgham, B Logan Autonomous Agents and Multi-Agent Systems, 1--22, 2016	105	2016
Extending multi-agent cooperation by overhearing P Busetta, L Serafini, D Singh, F Zini International Conference on Cooperative Information Systems, 40-52, 2001	58	2001
Learning context conditions for BDI plan selection D Singh, S Sardina, L Padgham, S Airiau Proceedings of the 9th International Conference on Autonomous Agents and …, 2010	55	2010
Integrating learning into a BDI agent for environments with changing dynamics D Singh, S Sardina, L Padgham, G James Proceedings of the Twenty-Second international joint conference on …, 2011	54	2011
Integrating BDI Agents into a MATSim Simulation L Padgham, K Nagel, D Singh, Q Chen Frontiers in Artificial Intelligence and Applications 263 (ECAI 2014), 681 - 686, 2014	46	2014
Extending BDI plan selection to incorporate learning from experience D Singh, S Sardina, L Padgham Robotics and Autonomous Systems 58 (9), 1067-1075, 2010	27	2010
Situational Preferences for BDI Plans L Padgham, D Singh Proceedings of the 2013 international conference on Autonomous agents and …, 2013	25	2013
Building the road network for city-scale active transport simulation models A Jafari, A Both, D Singh, L Gunn, B Giles-Corti Simulation Modelling Practice and Theory 114, 102398, 2022	24	2022
OpenSim: A framework for integrating agent-based models and simulation components D Singh, L Padgham Frontiers in Artificial Intelligence and Applications 263 (ECAI 2014), 837 - 842, 2014	24	2014
Planning for sandbagging as a response to flooding: A tool and case study L Padgham, R Horne, D Singh, T Moore Australian Journal of Emergency Management, The 29 (4), 26-31, 2014	23	2014
Learning to Improve Agent Behaviours in GOAL D Singh, KV Hindriks Programming Multi-Agent Systems, 158-173, 2013	14	2013
The importance of modelling realistic human behaviour when planning evacuation schedules C Bulumulla, L Padgham, D Singh, J Chan Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017	13	2017
Emergency Evacuation Simulator (EES) - a Tool for Planning Community Evacuations in Australia D Singh, L Padgham Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017	13	2017
Residential density and 20-minute neighbourhoods: A multi-neighbourhood destination location optimisation approach A Jafari, D Singh, B Giles-Corti Health & Place 83, 103070, 2023	11	2023
An Activity-Based Model of Transport Demand for Greater Melbourne A Both, D Singh, A Jafari, B Giles-Corti, L Gunn arXiv preprint arXiv:2111.10061, 2021	11	2021
Community Evacuation Planning for Bushfires Using Agent-Based Simulation D Singh, L Padgham Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015	11	2015
Activity-based and agent-based transport model of Melbourne: an open multi-modal transport simulation model for Greater Melbourne A Jafari, D Singh, A Both, M Abdollahyar, L Gunn, S Pemberton, ... Journal of Intelligent Transportation Systems, 1-18, 2024	10*	2024
Multi-level simulation of the physical, cognitive and social C Bulumulla, D Singh, L Padgham, J Chan Computers, Environment and Urban Systems 93, 101756, 2022	9	2022
Using MATSim as a component in dynamic agent-based micro-simulations D Singh, L Padgham, K Nagel International Workshop on Engineering Multi-Agent Systems, 85-105, 2019	8	2019
Making MATSim Agents Smarter with the Belief-Desire-Intention Framework L Padgham, D Singh Horni, A., Nagel, K. and Axhausen, K.W. (eds.) The Multi-Agent Transport …, 2016	7	2016

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