| Exploiting vagueness for multi-agent consensus M Crosscombe, J Lawry Multi-Agent and Complex Systems, 67-78, 2017 | 9 | 2017 |
| A model of multi-agent consensus for vague and uncertain beliefs M Crosscombe, J Lawry Adaptive Behavior 24 (4), 249-260, 2016 | 8 | 2016 |
| Robust distributed decision-making in robot swarms: Exploiting a third truth state M Crosscombe, J Lawry, S Hauert, M Homer 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 7 | 2017 |
| Epistemic Sets Applied to Best-of-n Problems J Lawry, M Crosscombe, D Harvey European Conference on Symbolic and Quantitative Approaches with Uncertainty …, 2019 | 2 | 2019 |
| Dual consensus measure for multi-perspective multi-criteria group decision making I Palomares, M Crosscombe, ZS Chen, J Lawry 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 2 | 2018 |
| Distributed Possibilistic Learning in Multi-Agent Systems J Lawry, M Crosscombe, D Harvey arXiv preprint arXiv:2001.07145, 2020 | | 2020 |
| Evidence Propagation and Consensus Formation in Noisy Environments M Crosscombe, J Lawry, P Bartashevich International Conference on Scalable Uncertainty Management, 310-323, 2019 | | 2019 |
| Evidence Propagation and Consensus Formation in Noisy Environments: Extended Abstract M Crosscombe, J Lawry International Conference on Autonomous Agents and Multiagent Systems, 1904-1906, 2019 | | 2019 |
| A Model of Multi-Agent Consensus for Compound Sentences M Crosscombe, J Lawry LFU-2017, 2017 | | 2017 |
Jonathan LawryProfessor of Artificial Intelligence, University of BristolVerified email at bris.ac.uk
