Jonathan Lawry

142 papers A* 4A 3B 9C 7Misc 1Journal 76Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	—	`book`	Uncertainty in AI - A Journey Through Possible Worlds Uncertainty in AI Jonathan Lawry
2025	A	`conf`	DeepSets Reinforcement Learning for Opinion Pooling. ECAI Jack Butler, Chanelle Lee, Jonathan Lawry
2025	J	`jnl`	Imprecise evidence in social learning. Swarm Intell. Zixuan Liu, Michael Crosscombe, Jonathan Lawry
2025	J	`jnl`	Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork. CoRR Jianhong Wang, Yang Li, Samuel Kaski, Jonathan Lawry
2024	Misc	`conf`	Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus. SAC Zachary R. Madin, Jonathan Lawry, Edmund R. Hunt
2024	J	`jnl`	Heterogeneous Thresholds, Social Ranking, and the Emergence of Vague Categories. Artif. Life Jonathan Lawry
2024	—	`conf`	Typicality-based point OOD detection with contrastive learning. NLDL Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
2023	J	`jnl`	Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus. CoRR Zachary R. Madin, Jonathan Lawry, Edmund R. Hunt
2023	J	`jnl`	Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback. CoRR Tom Bewley, Jonathan Lawry, Arthur Richards
2023	J	`jnl`	The Benefits of Interaction Constraints in Distributed Autonomous Systems. CoRR Michael Crosscombe, Jonathan Lawry
2023	J	`jnl`	Two-step counterfactual generation for OOD examples. CoRR Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
2022	J	`jnl`	Reward Learning with Trees: Methods and Evaluation. CoRR Tom Bewley, Jonathan Lawry, Arthur Richards, Rachel Craddock, Ian Henderson
2022	J	`jnl`	Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction. CoRR Tom Bewley, Jonathan Lawry, Arthur Richards
2022	—	`conf`	The Benefits of Interaction Constraints in Distributed Autonomous Systems. DARS Michael Crosscombe, Jonathan Lawry
2022	—	`conf`	Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection. ICPR Workshops (1) Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
2022	J	`jnl`	Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection. CoRR Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
2021	J	`jnl`	Collective preference learning in the best-of-n problem. Swarm Intell. Michael Crosscombe, Jonathan Lawry
2021	—	`conf`	Demonstrating the Differential Impact of Flock Heterogeneity on Multi-agent Herding. TAROS Chris Bennett, Seth Bullock, Jonathan Lawry
2021	J	`jnl`	FeelMusic: Enriching Our Emotive Experience of Music through Audio-Tactile Mappings. Multimodal Technol. Interact. Alice Haynes, Jonathan Lawry, Christopher Kent, Jonathan Rossiter
2021	C	`conf`	Imprecise Fusion Operators for Collective Learning. ALIFE Zixuan Liu, Michael Crosscombe, Jonathan Lawry
2021	J	`jnl`	Negative updating applied to the best-of-n problem with noisy qualities. Swarm Intell. Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield
2021	—	`conf`	The Impact of Network Connectivity on Collective Learning. DARS Michael Crosscombe, Jonathan Lawry
2021	J	`jnl`	The Impact of Network Connectivity on Collective Learning. CoRR Michael Crosscombe, Jonathan Lawry
2021	A*	`conf`	TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. AAAI Tom Bewley, Jonathan Lawry
2020	J	`jnl`	Claim Consistency Checking Using Soft Logic. Mach. Learn. Knowl. Extr. Nouf Bindris, Nello Cristianini, Jonathan Lawry
2020	J	`jnl`	Distributed Possibilistic Learning in Multi-Agent Systems. CoRR Jonathan Lawry, Michael Crosscombe, David Harvey
2020	—	`conf`	Modelling Agent Policies with Interpretable Imitation Learning. TAILOR Tom Bewley, Jonathan Lawry, Arthur Richards
2020	J	`jnl`	Modelling Agent Policies with Interpretable Imitation Learning. CoRR Tom Bewley, Jonathan Lawry, Arthur Richards
2020	J	`jnl`	Probability pooling for dependent agents in collective learning. Artif. Intell. Jonathan Lawry, Chanelle Lee
2020	J	`jnl`	TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. CoRR Tom Bewley, Jonathan Lawry
2019	C	`conf`	Epistemic Sets Applied to Best-of- ECSQARU Jonathan Lawry, Michael Crosscombe, David Harvey
2019	A	`conf`	Evidence Propagation and Consensus Formation in Noisy Environments. AAMAS Michael Crosscombe, Jonathan Lawry
2019	—	`conf`	Evidence Propagation and Consensus Formation in Noisy Environments. SUM Michael Crosscombe, Jonathan Lawry, Palina Bartashevich
2019	J	`jnl`	Evidence Propagation and Consensus Formation in Noisy Environments. CoRR Michael Crosscombe, Jonathan Lawry
2019	—	`conf`	Three Valued Representation of Opinions in Affective Design. IUKM Jonathan Lawry, Van-Nam Huynh, Chris A. McMahon
2018	A*	`conf`	Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus. IJCAI Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield
2018	B	`conf`	Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making. SMC Iván Palomares, Michael Crosscombe, Zhen-Song Chen, Jonathan Lawry
2018	—	`conf`	Negative Updating Combined with Opinion Pooling in the Best-of-n Problem in Swarm Robotics. ANTS Conference Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield
2017	B	`conf`	A fuzzy approach to qualification in design exploration for autonomous robots and systems. FUZZ-IEEE Jeremy Morse, Dejanira Araiza-Illan, Kerstin Eder, Jonathan Lawry, Arthur Richards
2017	A	`conf`	Robust distributed decision-making in robot swarms: Exploiting a third truth state. IROS Michael Crosscombe, Jonathan Lawry, Sabine Hauert, Martin E. Homer
2016	J	`jnl`	A Label Semantics Approach to Linguistic Hedges. CoRR Martha Anne Flinders Lewis, Jonathan Lawry
2016	J	`jnl`	A Model of Multi-Agent Consensus for Vague and Uncertain Beliefs. CoRR Michael Crosscombe, Jonathan Lawry
2016	J	`jnl`	A cloned linguistic decision tree controller for real-time path planning in hostile environments. Fuzzy Sets Syst. Oliver Turnbull, Jonathan Lawry, Mark H. Lowenberg, Arthur Richards
2016	J	`jnl`	A formal approach to analysing requirements conformance in adaptive systems. CoRR Jeremy Morse, Dejanira Araiza-Illan, Jonathan Lawry, Arthur Richards, Kerstin Eder
2016	J	`jnl`	A model of multi-agent consensus for vague and uncertain beliefs. Adapt. Behav. Michael Crosscombe, Jonathan Lawry
2016	J	`jnl`	Borderlines and probabilities of borderlines: On the interconnection between vagueness and uncertainty. J. Appl. Log. Jonathan Lawry
2016	J	`jnl`	Concept Generation in Language Evolution. CoRR Martha Anne Flinders Lewis, Jonathan Lawry
2016	J	`jnl`	Emerging Dimension Weights in a Conceptual Spaces Model of Concept Combination. CoRR Martha Lewis, Jonathan Lawry
2016	J	`jnl`	Exploiting Vagueness for Multi-Agent Consensus. CoRR Michael Crosscombe, Jonathan Lawry
2016	J	`jnl`	Hierarchical conceptual spaces for concept combination. Artif. Intell. Martha Lewis, Jonathan Lawry
2016	J	`jnl`	The Utility of Hedged Assertions in the Emergence of Shared Categorical Labels. CoRR Martha Anne Flinders Lewis, Jonathan Lawry
2016	J	`jnl`	Towards the Specification of Adaptive Robotic Systems. CoRR Jeremy Morse, Dejanira Araiza-Illan, Jonathan Lawry, Kerstin Eder
2015	J	`jnl`	A Dempster-Shafer model of imprecise assertion strategies. J. Appl. Log. Henrietta Eyre, Jonathan Lawry
2015	J	`jnl`	On truth-gaps, truth-gluts, and bipolar propositions. Int. J. Approx. Reason. Yongchuan Tang, Jonathan Lawry
2014	J	`jnl`	A label semantics approach to linguistic hedges. Int. J. Approx. Reason. Martha Anne Flinders Lewis, Jonathan Lawry
2014	J	`jnl`	Borderline vs. unknown: comparing three-valued representations of imperfect information. Int. J. Approx. Reason. Davide Ciucci, Didier Dubois, Jonathan Lawry
2014	J	`jnl`	Language games with vague categories and negations. Adapt. Behav. Henrietta Eyre, Jonathan Lawry
2014	J	`jnl`	Probability, fuzziness and borderline cases. Int. J. Approx. Reason. Jonathan Lawry
2014	J	`jnl`	The linguistic attribute hierarchy and its optimisation for classification. Soft Comput. Hongmei He, Jonathan Lawry
2013	—	`conf`	A Random Set and Rule-Based Regression Model Incorporating Image Labels. IUKM Guanyi Li, Jonathan Lawry
2013	J	`jnl`	A linguistic decision tree approach to predicting storm surge. Fuzzy Sets Syst. Samantha Royston, Jonathan Lawry, K. Horsburgh
2013	A*	`conf`	Concept Generation in Language Evolution. IJCAI Martha Anne Flinders Lewis, Jonathan Lawry
2013	C	`conf`	Conditional Beliefs in a Bipolar Framework. ECSQARU Jonathan Lawry, Trevor Martin
2013	—	`conf`	Flexible Concepts Are Fuzzy Concepts. On Fuzziness (1) Jonathan Lawry
2012	A*	`conf`	A Bipolar Framework for Combining Beliefs about Vague Propositions. KR Jonathan Lawry, Didier Dubois
2012	J	`jnl`	A bipolar model of vague concepts based on random set and prototype theory. Int. J. Approx. Reason. Yongchuan Tang, Jonathan Lawry
2012	J	`jnl`	Information cells and information cell mixture models for concept modelling. Ann. Oper. Res. Yongchuan Tang, Jonathan Lawry
2012	J	`jnl`	Integrated uncertainty management for decision making. Ann. Oper. Res. Van-Nam Huynh, Jonathan Lawry, Yoshiteru Nakamori
2012	J	`jnl`	On truth-gaps, bipolar belief and the assertability of vague propositions. Artif. Intell. Jonathan Lawry, Yongchuan Tang
2012	—	`conf`	Possibilistic Rules from Fuzzy Prototypes. IPMU (2) Guanyi Li, Jonathan Lawry
2011	J	`jnl`	A bipolar model of assertability and belief. Int. J. Approx. Reason. Jonathan Lawry, Inés González Rodríguez
2011	—	`conf`	Bipolar Semantic Cells: An Interval Model for Linguistic Labels. IUKM Yongchuan Tang, Jonathan Lawry
2011	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - International Symposium, IUKM 2011, Hangzhou, China, October 28-30, 2011. Proceedings IUKM Yongchuan Tang, Van-Nam Huynh, Jonathan Lawry
2011	J	`jnl`	Prediction and query evaluation using linguistic decision trees. Appl. Soft Comput. Zengchang Qin, Jonathan Lawry
2010	—	`conf`	A Random Set and Prototype Theory Interpretation of Intuitionistic Fuzzy Sets. IPMU (1) Jonathan Lawry
2010	J	`jnl`	A prototype-based rule inference system incorporating linear functions. Fuzzy Sets Syst. Yongchuan Tang, Jonathan Lawry
2010	J	`jnl`	Foreword to the Special Section on Computing With Words. IEEE Trans. Fuzzy Syst. Jerry M. Mendel, Jonathan Lawry, Lotfi A. Zadeh
2010	J	`jnl`	Granular Knowledge Representation and Inference Using Labels and Label Expressions. IEEE Trans. Fuzzy Syst. Jonathan Lawry, Yongchuan Tang
2010	—	`conf`	Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues. SUM Jonathan Lawry
2010	—	`conf`	Information Cell Mixture Models: The Cognitive Representations of Vague Concepts. IUM Yongchuan Tang, Jonathan Lawry
2010	—	`ed.`	Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, IUM 2010, Ishikawa, Japan, April 9-11, 2010] IUM Van-Nam Huynh, Yoshiteru Nakamori, Jonathan Lawry, Masahiro Inuiguchi
2010	—	`conf`	Linguistic Decision Trees for Fusing Tidal Surge Forecasting Models. SMPS Jonathan Lawry, Hongmei He
2010	J	`jnl`	What Computing with Words Means to Me [Discussion Forum]. IEEE Comput. Intell. Mag. Jerry M. Mendel, Lotfi A. Zadeh, Enric Trillas, Ronald R. Yager, Jonathan Lawry, Hani Hagras, Sergio Guadarrama
2009	—	`ed.`	2009 Second International Symposium on Computational Intelligence and Design, ISCID 2009, Changsha, Hunan, China, 12-14 December 2009, 2 Volumes ISCID Yongchuan Tang, Jonathan Lawry
2009	—	`ch.`	A Random Set and Prototype Theory Model of Linguistic Query Evaluation. Scalable Fuzzy Algorithms for Data Management and Analysis Jonathan Lawry, Yongchuan Tang
2009	B	`conf`	A linguistic CMAC equivalent to a Linguistic Decision Tree for classification. IJCNN Hongmei He, Jonathan Lawry
2009	C	`conf`	Generalised Label Semantics as a Model of Epistemic Vagueness. ECSQARU Jonathan Lawry, Inés González Rodríguez
2009	J	`jnl`	Linguistic modelling and information coarsening based on prototype theory and label semantics. Int. J. Approx. Reason. Yongchuan Tang, Jonathan Lawry
2009	J	`jnl`	Uncertainty modelling for vague concepts: A prototype theory approach. Artif. Intell. Jonathan Lawry, Yongchuan Tang
2008	J	`jnl`	A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making. IEEE Trans. Fuzzy Syst. Van-Nam Huynh, Yoshiteru Nakamori, Jonathan Lawry
2008	—	`ch.`	An Overview of Computing with Words using Label Semantics. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Jonathan Lawry
2008	J	`jnl`	Appropriateness measures: an uncertainty model for vague concepts. Synth. Jonathan Lawry
2008	J	`jnl`	Fuzzy Bayesian Modeling of Sea-Level Along the East Coast of Britain. IEEE Trans. Fuzzy Syst. Nicholas J. Randon, Jonathan Lawry, K. Horsburgh, Ian D. Cluckie
2008	—	`book`	Interval / Probabilistic Uncertainty and Non-Classical Logics Van-Nam Huynh, Yoshiteru Nakamori, Hiroakira Ono, Jonathan Lawry, Vladik Kreinovich, Hung T. Nguyen
2008	—	`ch.`	Knowledge Discovery in a Framework for Modelling with Words. Soft Computing for Knowledge Discovery and Data Mining Zengchang Qin, Jonathan Lawry
2008	J	`jnl`	LFOIL: Linguistic rule induction in the label semantics framework. Fuzzy Sets Syst. Zengchang Qin, Jonathan Lawry
2008	—	`ch.`	Label Semantics as a Framework for Granular Modelling. Interval / Probabilistic Uncertainty and Non-Classical Logics Jonathan Lawry
2008	B	`conf`	Linguistic attribute hierarchies for downwards propagation of information. FUZZ-IEEE Hongmei He, Jonathan Lawry
2008	J	`jnl`	Multi-Attribute Decision Making Based on Label Semantics. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Jonathan Lawry, Hongmei He
2008	—	`conf`	Non-parametric Density Estimation Based on Label Semantics. SMPS Jonathan Lawry, Inés González Rodríguez
2008	B	`conf`	Real-time flood forecasting using updateable linguistic decision trees. FUZZ-IEEE Daniel R. McCulloch, Jonathan Lawry, Ian D. Cluckie
2008	—	`conf`	Relating Prototype Theory and Label Semantics. SMPS Jonathan Lawry, Yongchuan Tang
2007	B	`conf`	Classification of Weather Radar Images using Linguistic Decision Trees with Conditional Labelling. FUZZ-IEEE Daniel R. McCulloch, Jonathan Lawry, Miguel A. Rico-Ramirez, Ian D. Cluckie
2007	—	`conf`	Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees. IFSA (1) Zengchang Qin, Jonathan Lawry
2007	B	`conf`	Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making. FUZZ-IEEE Jonathan Lawry, Hongmei He
2006	—	`conf`	A Fuzzy Synset-Based Hidden Markov Model for Automatic Text Segmentation. SMPS Viet Ha-Thuc, Quang-Anh Nguyen-Van, Tru Hoang Cao, Jonathan Lawry
2006	J	`jnl`	Classification and query evaluation using modelling with words. Inf. Sci. Nicholas J. Randon, Jonathan Lawry
2006	—	`conf`	Fuzzy Decision Tree Cloning of Flight Trajectory Optimisation for Rapid Path Planning. CDC Oliver Turnbull, Arthur Richards, Jonathan Lawry, Mark H. Lowenberg
2006	—	`conf`	High Level Fuzzy Labels for Vague Concepts. SMPS Zengchang Qin, Jonathan Lawry
2006	—	`book`	Modelling and Reasoning with Vague Concepts Jonathan Lawry
2006	—	`conf`	Online Learning for Fuzzy Bayesian Prediction. SMPS Nicholas J. Randon, Jonathan Lawry, Ian D. Cluckie
2006	—	`ed.`	Soft Methods for Integrated Uncertainty Modelling, Proceedings of the 2006 International Workshop on Soft Methods in Probability and Statistics, SMPS 2006, Bristol, UK, 5-7 September 2006 SMPS Jonathan Lawry, Enrique Miranda, Alberto Bugarín, Shoumei Li, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz
2005	—	`conf`	A Granular Semantics for Fuzzy Measures and its Application to Climate Change Scenarios. ISIPTA Jonathan Lawry, Jim W. Hall, Guangtao Fu
2005	J	`jnl`	Decision tree learning with fuzzy labels. Inf. Sci. Zengchang Qin, Jonathan Lawry
2005	C	`conf`	Hybrid Bayesian Estimation Trees Based on Label Semantics. ECSQARU Zengchang Qin, Jonathan Lawry
2004	J	`jnl`	A framework for linguistic modelling. Artif. Intell. Jonathan Lawry
2004	J	`jnl`	Fusion of expert and learnt knowledge in a framework of fuzzy labels. Int. J. Approx. Reason. Jonathan Lawry, Jim W. Hall, R. Bovey
2004	J	`jnl`	Generation, combination and extension of random set approximations to coherent lower and upper probabilities. Reliab. Eng. Syst. Saf. Jim W. Hall, Jonathan Lawry
2004	J	`jnl`	Induction And Fusion Of Fuzzy Prototypes. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Inés González Rodríguez, Jonathan Lawry, James F. Baldwin
2003	C	`conf`	A Random set Model for Fuzzy Labels. ECSQARU Jonathan Lawry, Jordi Recasens
2003	—	`conf`	An Iterative Fuzzy Prototype Induction Algorithm. IWANN (1) Inés González Rodríguez, Jonathan Lawry, James F. Baldwin
2003	—	`conf`	Fuzzy models for prediction based on random set semantics. EUSFLAT Conf. Nicholas J. Randon, Jonathan Lawry
2003	—	`book`	Modelling with Words - Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework Modelling with Words Jonathan Lawry, James G. Shanahan, Anca L. Ralescu
2003	J	`jnl`	Normalizing Possibility Distributions Using t-Norms. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Jordi Recasens, Jonathan Lawry
2003	J	`jnl`	Probabilistic and fuzzy methods for information fusion in data mining. Int. J. Intell. Syst. Nicholas J. Randon, Jonathan Lawry
2003	—	`ch.`	Random Sets and Appropriateness Degrees for Modelling with Labels. Modelling with Words Jonathan Lawry
2001	J	`jnl`	A methodology for computing with words. Int. J. Approx. Reason. Jonathan Lawry
2001	J	`jnl`	An Alternative Approach to Computing with Words. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Jonathan Lawry
2001	—	`conf`	Imprecise Probabilities of Engineering System Failure from Random and Fuzzy Set Reliability Analysis. ISIPTA Jim W. Hall, Jonathan Lawry
2001	C	`conf`	Label Semantics: A Formal Framework for Modeling with Words. ECSQARU Jonathan Lawry
2001	J	`jnl`	Possibilistic Normalisation and Reasoning Under Partial Inconsistency. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Jonathan Lawry
2001	B	`conf`	Query Evaluation from Linguistic Prototypes. FUZZ-IEEE Jonathan Lawry
2000	J	`jnl`	A New Approach to Learning Linguistic Control Rules. Int. J. Uncertain. Fuzziness Knowl. Based Syst. James F. Baldwin, Jonathan Lawry
2000	B	`conf`	A c-fuzzy means algorithm for prototype induction. FUZZ-IEEE Jim F. Baldwin, Jonathan Lawry
1999	J	`jnl`	A mass assignment method for prototype induction. Int. J. Intell. Syst. Jim F. Baldwin, Jonathan Lawry, Trevor P. Martin
1998	J	`jnl`	A note on the conditional probability of fuzzy subsets of a continuous domain. Fuzzy Sets Syst. James F. Baldwin, Jonathan Lawry, Trevor P. Martin
1998	J	`jnl`	A voting mechanism for fuzzy logic. Int. J. Approx. Reason. Jonathan Lawry
1998	J	`jnl`	The Application of Generalised Fuzzy Rules to Machine Learning and Automated Knowledge Discovery. Int. J. Uncertain. Fuzziness Knowl. Based Syst. James F. Baldwin, Jonathan Lawry, Trevor P. Martin
1997	J	`jnl`	A mass assignment based ID3 algorithm for decision tree induction. Int. J. Intell. Syst. James F. Baldwin, Jonathan Lawry, Trevor P. Martin
1997	J	`jnl`	An inductive method for inexact reasoning. Int. J. Approx. Reason. Jonathan Lawry
1996	J	`jnl`	A mass assignment theory of the probability of fuzzy events. Fuzzy Sets Syst. Jim F. Baldwin, Jonathan Lawry, Trevor P. Martin
1992	—	`conf`	An Axiomatic Approach to Systems of Prior Distributions in Inexact Reasoning. Logic at Work Jonathan Lawry, George M. Wilmers