| Multiagent decision-making dynamics inspired by honeybees R Gray, A Franci, V Srivastava, NE Leonard IEEE Transactions on Control of Network Systems 5 (2), 793-806, 2018 | 109 | 2018 |
| A modified approach to objective surface generation within the Gauss-Newton parameter identification to ignore outlier data points RAL Gray, PD Docherty, LM Fisk, R Murray Biomedical Signal Processing and Control 30, 162-169, 2016 | 16 | 2016 |
| An agent-based framework for bio-inspired, value-sensitive decision-making R Gray, A Franci, V Srivastava, NE Leonard IFAC-PapersOnLine 50 (1), 8238-8243, 2017 | 8 | 2017 |
| Reducing the effect of outlying data on the identification of insulinaemic pharmacokinetic parameters with an adapted Gauss-Newton approach PD Docherty, RAL Gray, EJ Mansell IFAC Proceedings Volumes 47 (3), 5635-5640, 2014 | 7 | 2014 |
| Honeybee-inspired dynamics for multi-agent decision-making R Gray, A Franci, V Srivastava, NE Leonard arXiv preprint arXiv:1503.08526, 2015 | 4 | 2015 |
| Designing collective decision-making dynamics for multi-agent systems, with inspiration from honeybees RAL Gray Princeton, NJ: Princeton University, 2019 | 1 | 2019 |
| An agent-based model of bio-inspired collective decision-making. R Gray | | |
