Selected Publications
- M. Crosscombe, J. Lawry, (2024), `The Benefits of Interaction Constraints in Distributed Autonomous Systems', International Symposium on Distributed Autonomous Robotic Systems, (published version), (open access)
- M. Crosscombe, J. Lawry, (2022),`The Impact of Network Connectivity on Collective Learning, International Symposium on Distributed Autonomous Robotic Systems, (published version), (open access)
- J. Lawry, (2022), `Heterogeneity and Robustness in Social Learning', ALIFE 2022: The 2022 Conference on Artificial Life, (published version)
- M. Crosscombe, J. Lawry, (2021), `Collective Preference Learning in the Best-of-n Problem: From Best-of-n to Ranking n, Swarm Intelligence, Vol. 15, pp 145-170, (published version)
- C. Lee, J. Lawry, A. F. T. Winfield, (2021), `Negative updating applied to the best-of-n problem with noisy qualities', Swarm Intelligence, Vol. 15, pp 111-143, (published version)
- T. Bewley, J. Lawry, (2021), `Tripletree: A Versatile Interpretable Representation of Black Box Agents and their Environments', Proceedings of the AAAI Conference on Artificial Intelligence, (published version)
- J. Lawry, C. Lee, (2020), `Probability Pooling for Dependent Agents in Collective Learning', Artificial Intelligence, Vol. 288, (published version)
- M. Crosscombe, J. Lawry, P. Bartashevich, (2019), `Evidence Propagation and Consensus Formation in Noisy Environments', International Conference on Scalable Uncertainty Modelling, (published version), (open access)
- C. Lee, J. Lawry, A Winfield, (2018), `Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus', International Joint Conference on AI (IJCAI), (published version)
- M. Crosscombe, J. Lawry, S. Hauert, M. Homer, (2017), `Robust distributed decision-making in robot swarms: Exploiting a third truth state', 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, 2017, pp 4326-4332. (published version)
- J. Lawry, O. James, (2017), `Vagueness and Aggregation in Multiple Sender Channels', Erkenntnis, in press, (open access)
- M. Lewis, J. Lawry, (2016), `Hierarchical Conceptual Spaces for Concept Combination', Artificial Intelligence, Vol. 237, pp 204-227 (open access)
- M. Crosscombe, J. Lawry, (2015), `Exploiting Vagueness for Multi-agent Consensus', Proceedings of SSMCS 2015 (open access)
- J. Lawry, (2014), `Probability, Fuzziness and Borderline Cases', International Journal of Approximate Reasoning, Vol. 55, No. 5, pp 1164-1184 (published version)
- H. Eyre, J. Lawry, (2014), `Language games with vague categories and negations', Adaptive Behaviour, Vol. 22 (5), pp 289-303 (published version)
- J. Lawry, Y. Tang, (2012), `On truth-gaps, bipolar belief and the assertability of vague propositions', Artificial Intelligence, Vol. 191-192, pp 20-41 (published version), (open access)
- J. Lawry, D. Dubois, (2012), `A bipolar framework for combining beliefs about vague propositions', Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning, pp 530-540, (published version)
- J. Lawry, Y. Tang, (2009), `Uncertainty modelling for vague concepts: A prototype theory approach', Artificial Intelligence, Vol. 713, pp 1539-1558 (published version)
- J. Lawry, (2008), `Appropriateness measures: an uncertainty model for vague concepts', Synthese, Vol. 161, pp 255-269 (published version)
- J. Hall, G. Fu, J. Lawry, (2007), `Imprecise probabilities of climate change: aggregation of fuzzy scenarios and model uncertainties', Climatic Change, Vol. 81, pp 265-281 (published version)
- J. Lawry, (2006), Modelling and reasoning with vague concepts, Springer (published version)
- J. Hall, J. Lawry, (2004), `Generation, combination and extension of random set approximations to coherent lower and upper probabilities', Reliability Engineering & System Safety, Vol. 85, pp 89-101 (published version)
- J. Lawry, (2004), `A framework for linguistic modelling', Artificial Intelligence, Vol. 155, pp 1-39 (published version)
- J. Lawry, (2001), ` A methodology for computing with words', International Journal of Approximate Reasoning, Vol. 28, pp 51-89 (published version)
- J. Lawry, (1998), ` A voting mechanism for fuzzy logic', International Journal of Approximate Reasoning, Vol. 19, pp 315-333 (published version)
- J. Lawry, (1994), ` An inductive method for inexact reasoning', International Journal of Approximate Reasoning, Vol. 16, pp 205-221 (published version)
- J. Lawry, (1994), Natural Distributions in Inexact Reasoning, PhD Thesis, University of Manchester lawry_thesis.pdf
For a more detailed list of my publications please see my Google Scholar page