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Dhirendra Singh
Dhirendra Singh
Principal Research Scientist, CSIRO's Data61
Email verificata su data61.csiro.au - Home page
Titolo
Citata da
Citata da
Anno
Integrating BDI agents with Agent-Based simulation platforms
D Singh, L Padgham, B Logan
Autonomous Agents and Multi-Agent Systems, 1--22, 2016
1042016
Extending multi-agent cooperation by overhearing
P Busetta, L Serafini, D Singh, F Zini
International Conference on Cooperative Information Systems, 40-52, 2001
582001
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
542010
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
532011
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
462014
Extending BDI plan selection to incorporate learning from experience
D Singh, S Sardina, L Padgham
Robotics and Autonomous Systems 58 (9), 1067-1075, 2010
272010
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
242022
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
242014
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
232014
Situational Preferences for BDI Plans
L Padgham, D Singh
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
232013
Learning to Improve Agent Behaviours in GOAL
D Singh, KV Hindriks
Programming Multi-Agent Systems, 158-173, 2013
142013
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
132017
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
132017
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
112023
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
112021
Community Evacuation Planning for Bushfires Using Agent-Based Simulation
D Singh, L Padgham
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
112015
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
82022
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
82019
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
72016
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