Professor Jonathan Lawry

Summary

Biography

Brief Career History
1987-1990 BSc Mathematics at Plymouth Polytechnic. Graduated with first class honours
1990-1994 PhD Mathematics and Logic at the University of Manchester.
1994-1997 Research Assistant in the Artificial Intelligence Group at the University of Bristol
1997-2004 Lecturer in Artificial Intelligence and Soft Computing. Department of Engineering Mathematics, University of Bristol
2004- Reader in Artificial Intelligence. Department of Engineering Mathematics, University of Bristol

Keywords

• Uncertainty Modelling
• Vagueness (Fuzziness)
• Imprecise Probabilities
• Language Games
• Artificial Intelligence

Expertise

-Random sets and fuzzy sets -Label Semantics for Modelling Vague Concepts -Foundations of uncertain reasoning in Artificial Intelligence -Combining probability, fuzzy sets and random sets in data analysis -Computing and modelling with words -Imprecise probabilities

Fuzzy Logic

artificial intelligence

Memberships

Organisations

Department of Engineering Mathematics

Other sites

• Engineering

Links

• External Homepage

Recent publications

• Crosscombe, M & Lawry, J, 2019, ‘Evidence Propagation and Consensus Formation in Noisy Environments: Extended Abstract’. in: the Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. International Foundation for Autonomous Agents and MultiAgent Systems, pp. 1904-1906
• Palomares, I, Crosscombe, M, Chen, ZS & Lawry, J, 2019, ‘Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making’. in: 2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018). Institute of Electrical and Electronics Engineers (IEEE), pp. 3313-3318
• Crosscombe, M, Lawry, J, Hauert, S & Homer, M, 2018, ‘Robust distributed decision-making in robot swarms: Exploiting a third truth state’. in: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017): Proceedings of a meeting held 24-28 September 2017, Vancouver, British Columbia, Canada. Institute of Electrical and Electronics Engineers (IEEE), pp. 4326-4332
• Lee, C, Lawry, J & Winfield, A, 2018, ‘Negative Updating Combined with Opinion Pooling in the Best-of-n Problem in Swarm Robotics’. in: Swarm Intelligence: 11th International Conference, ANTS 2018 Proceedings (Lecture Notes in Computer Science), October 29-31, 2018. Rome, Italy. Springer Nature, pp. 97-108
• Lee, C, Lawry, J & Winfield, A, 2018, ‘Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus’. in: Jérôme Lang (eds) Proceedings of the 27th International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence (IJCAI), pp. 347-353
• Morse, J, Araiza-Illan, D, Eder, K, Lawry, J & Richards, A, 2017, ‘A fuzzy approach to qualification in design exploration for autonomous robots and systems’. in: 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017. Institute of Electrical and Electronics Engineers (IEEE)
• Lawry, J & James, O, 2017, ‘Vagueness and aggregation in multiple sender channels’. Erkenntnis.
• Lopez-Santander, A & Lawry, J, 2017, ‘An Ordinal Model of Risk Based on Mariner’s Judgement’. Journal of the Institute of Navigation, vol 70., pp. 309-324
• Turnbull, ODN, Lawry, J, Lowenberg, MH & Richards, AG, 2016, ‘A cloned linguistic decision tree controller for real-time path planning in hostile environments’. Fuzzy Sets and Systems, vol 293., pp. 1-29
• Crosscombe, M & Lawry, J, 2016, ‘A model of multi-agent consensus for vague and uncertain beliefs’. Adaptive Behavior, vol 24., pp. 249-260

View complete publications list in the University of Bristol publications system