• L.K. Bartlett, N. Javed, D. Bennett, P.C.R. Lane and F. Gobet, 'Modelling attentional cueing and inhibition of return with genetic programming', Proceedings of the 11th Annual Conference on Advances in Cognitive Systems, 2024.
• P.C.R. Lane, L.K. Bartlett and F.Gobet, 'Investigating the diversity of evolved cognitive models in Delayed Match to Sample experiments', Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference, 2024. pdf - Winner of Best Poster Prize.
• P.C.R. Lane, N. Javed, L.K. Bartlett, D. Bennett and F. Gobet, 'Exploring the diversity of evolved cognitive models with cluster analysis', in V. Bhateja, P. Patel, and T. Jinshang (Eds.), Evolution in Computational Intelligence: Proceedings of the 12^th International Conference on Frontiers of Intelligent Computing: Theory and Applications, 2024.
• D. Bennett, N. Javed, P.C.R. Lane, F. Gobet and L.K. Bartlett, 'Genetically evolving verbal learning: a computational model based on chunking and evolution', in Proceedings of the 22nd International Conference on Cognitive Modelling, 2024. paper
• A. Pirrone, P.C.R. Lane, L.K. Bartlett, N.Javed and F. Gobet, 'Heuristic search of heuristics', in M.Bramer and F.Stahl (Eds.) Artificial Intelligence XL. SGAI 2023. Lecture Notes in Computer Science(), vol 14381, pp.407-420, 2023. (Springer, Cham.) https://doi.org/10.1007/978-3-031-47994-6_36
• P.C.R. Lane, F. Gobet, A. Pirrone, L.K. Bartlett and N.Javed, 'Synthesising cognitive models with genetic programming', Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference, 2023. pdf
• L.K. Bartlett, A. Pirrone, N. Javed, P.C.R. Lane and F. Gobet, 'Genetic programming for developing simple cognitive models', in M. Goldwater, F.K. Anggoro, B.K. Hayes, & D.C. Ong (Eds.), Proceedings of the 45^th Annual Meeting of the Cognitive Science Society, pp.2833-2839, 2023. read online
• N. Javed, A. Pirrone, L.K. Bartlett, P.C.R. Lane and F. Gobet, 'Trust in cognitive models: Understandability and computational realism', in B.Muller (Ed.), Proceedings of the AISB Convention, pp. 43-50, 2023. pdf
• P.C.R. Lane, L.K. Bartlett, N. Javed, A. Pirrone and F. Gobet, 'Evolving understandable cognitive models', in T.C.Steward (Ed.), Proceedings of the 20^th International Conference on Cognitive Modelling, pp.176-82, 2022. (University Park, PA: Applied Cognitive Science Lab, Penn State.) pdf - Proceedings
• N. Javed, F. Gobet and P.C.R. Lane, 'Simplification of genetic programs: A literature survey', Data Mining and Knowledge Discovery, 36:1279-1300, 2022. https://doi.org/10.1007/s10618-022-00830-7 (open access)
• M. Zheng, N. Helian, P.C.R. Lane, Y. Sun and A. Donald, 'Bacterial colony counting could be rapid, adaptive and automated', in L. Coudron (Ed.), Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference, pp. 44-46, 2022. https://doi.org/10.18745/pb.25867
• P.C.R. Lane, N. Helian, M.H. Bodla, M. Zheng and P.M. Moggridge, 'Dynamic hierarchical structure optimisation for cloud computing job scheduling', in J.L. Jiménez Laredo, J.I. Hidalgo, K.O. Babaagba (Eds.), Applications of Evolutionary Computation. EvoApplications 2022. Lecture Notes in Computer Science(), vol 13224, pp.301-316, 2022. (Springer, Cham.) https://doi.org/10.1007/978-3-031-02462-7_20
• D. Bennett, F. Gobet and P.C.R. Lane, 'Forming concepts of Mozart and Homer using short-term and long-term memory: A computational model based on chunking', in Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, pp.178-184, 2020. pdf
• M. Addis, P.C.R. Lane, P.D. Sozou and F. Gobet (Eds.), Scientific Discovery in the Social Sciences, 2019. (Springer, Cham.) https://doi.org/10.1007/978-3-030-23769-1
• M. Addis, F. Gobet, P.C.R. Lane and P.D. Sozou, 'Semi-automatic generation of models in cognitive science', in M. Addis, P.C.R. Lane, P.D. Sozou and F. Gobet (Eds.), Scientific Discovery in the Social Sciences, pp.155-171, 2019. (Springer, Cham.) https://doi.org/10.1007/978-3-030-23769-1_10
• A. Verma, P.C.R. Lane and M. Lilley, 'Data fusion in internet of things', in L. Coudron (Ed.), Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference, pp. 19-20, 2019. https://doi.org/10.18745/pb.21692
• D. Panday, P.C.R. Lane and N. Helian, 'Using feature weighting as a tool for clustering application', in L. Coudron (Ed.), Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference, pp. 47-48, 2019. https://doi.org/10.18745/pb.21692
• Z. Mahmood, D. Bowes, T. Hall, P.C.R. Lane and J. Petric, 'Reproducibility and replicability of software defect prediction studies', Information and Software Technology, 99:148-63, 2018. https://doi.org/10.1016/j.infsof.2018.02.003 - http://hdl.handle.net/2299/20303
• D. Panday, R.C. de Amorim and P.C.R. Lane, 'Feature weighting as a tool for unsupervised feature selection', Information Processing Letters, 129:44-52, 2018. https://doi.org/10.1016/j.ipl.2017.09.005 - http://hdl.handle.net/2299/19699
• F. Gobet and P.C.R. Lane, 'Constructing a standard model: Lessons from CHREST', in Proceedings of the AAAI Fall Symposium on A Standard Model of the Mind, pp. 338-343, 2017. proceedings - pdf
• F. Gobet, M. Lloyd-Kelly and P.C.R.Lane, 'Computational models of expertise', in D.Z. Hambrick, G. Campitelli, and B.N. Macnamara (Eds.), The Science of Expertise, pp.347-364, 2017. (New York: Psychology Press) https://doi.org/10.4324/9781315113371 (book)
• P.D. Sozou, P.C.R. Lane, M. Addis and F. Gobet, 'Computational scientific discovery', in L. Magnani and T. Bertolotti (Eds.), Springer Handbook of Model-Based Science, pp.719-734, 2017. (Springer Handbooks. Springer, Cham.) https://doi.org/10.1007/978-3-319-30526-4_33
• M. Lloyd-Kelly, F. Gobet and P.C.R. Lane, 'Under pressure: How time-limited cognition explains statistical learning by 8-month old infants', in Papafragou, A., Grodner, D., Mirman, D., and Trueswell, J.C. (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society, pp.1475-80, 2016. pdf
• P.C.R. Lane, P.D. Sozou, F. Gobet and M. Addis, 'Analysing psychological data by evolving computational models', in A. Wilhelm and H. Kestler (Eds.), Analysis of Large and Complex Data. Studies in Classification, Data Analysis, and Knowledge Organization, pp.587-597, 2016. (Springer, Cham.) https://doi.org/10.1007/978-3-319-25226-1_50
• M. Addis, P.D. Sozou, P.C.R. Lane and F. Gobet, 'Computational scientific discovery and cognitive science theories', in Müller, Vincent C. (ed.), Computing and Philosophy. Synthese Library, vol 375., pp.83-97, 2016. (Springer, Cham.) https://doi.org/10.1007/978-3-319-23291-1_6
• F. Gobet, M. Lloyd-Kelly and P.C.R. Lane, 'What's in a name? The multiple meanings of "chunk" and "chunking"', Frontiers in Psychology, 7(102), 2016. https://doi.org/10.3389/fpsyg.2016.00102 (open access)
• M. Lloyd-Kelly, F. Gobet and P.C.R. Lane, 'A question of balance: The benefits of pattern-recognition when solving problems in a complex domain', Transactions on Computational Collective Intelligence XX . Lecture Notes in Computer Science(), vol 9420, pp.224-258, 2015. (Springer, Cham.) https://doi.org/10.1007/978-3-319-27543-7_11 - http://hdl.handle.net/2299/19027
• M. Lloyd-Kelly, F. Gobet and P.C.R. Lane, 'Piece of mind: Long-term memory structure in ACT-R and CHREST', in Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society, (Austin, TX: Cognitive Science Society) pp.1422-27, 2015.
• M. Lloyd-Kelly, F. Gobet and P.C.R. Lane, 'The art of balance: Problem-solving vs pattern-recognition,' in Proceedings of the Seventh International Conference on Agents and Artificial Intelligence, pp.131-42, 2015. https://doi.org/10.5220/0005215901310142 (open access)
• Z. Mahmood, D. Bowes, P.C.R. Lane and T. Hall, 'What is the impact of imbalance on software defect prediction performance?', in Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2015), pp.1-4, 2015. https://doi.org/10.1145/2810146.2810150
• F. Gobet and P.C.R. Lane, 'Human problem solving: Beyond Newell et al.'s (1958) Elements of a theory of human problem solving', in D. Groome and M.W. Eysenck (Eds.), Cognitive Psychology: Revisiting the Classic Studies, Thousand Oaks, CA: Sage, pp.133-45, 2015.
• F. Gobet, P.C.R. Lane and M. Lloyd-Kelly, 'Chunks, schemata and retrieval structures: Past and current computational models', Frontiers in Psychology, 6(1785), 2015. https://doi.org/10.3389/fpsyg.2015.01785 - http://hdl.handle.net/2299/19005
• M. Lloyd-Kelly, P.C.R. Lane and F. Gobet, 'The effects of bounding rationality on the performance and learning of CHREST agents in Tileworld', in M.Bramer and M.Petridis (Eds.) Research and Development in Intelligent Systems XXXI. SGAI 2014, pp.149-162, 2014. (Springer, Cham.) https://doi.org/10.1007/978-3-319-12069-0_10
• P.C.R. Lane, P.D. Sozou, M. Addis and F. Gobet, 'Evolving process-based models from psychological data using genetic programming', in Rodger Kibble (ed.) Proceedings of the 50th Anniversary Convention of the AISB, 2014. pdf
• P.C.R. Lane and F. Gobet, 'Evolving non-dominated parameter sets for computational models from multiple experiments', Journal of Artificial General Intelligence, 4:1-30, 2013. https://doi.org/10.2478/jagi-2013-0001 (open access) - code
• P.C.R. Lane and F. Gobet, 'A theory-driven testing methodology for developing scientific software', Journal of Experimental and Theoretical Artificial Intelligence, 24:421-56, 2012. https://doi.org/10.1080/0952813X.2012.695443
• P.C.R. Lane, D. Clarke, and P. Hender, 'On developing robust models for favourability analysis: Model choice, feature sets and imbalanced data,' Decision Support Systems, 53:712-18, 2012. https://doi.org/10.1016/j.dss.2012.05.028 - http://hdl.handle.net/2299/9017
• P.C.R. Lane and F. Gobet, 'CHREST models of implicit learning and board game interpretation', in J.Bach, B.Goertzel and M.Ikle (Eds.), Proceedings of the Fifth Conference on Artificial General Intelligence. Lecture Notes in Computer Science(), vol 7716, pp. 148-157, 2012. (Springer, Berlin, Heidelberg) https://doi.org/10.1007/978-3-642-35506-6_16 (open access) - code
• P.C.R. Lane and F. Gobet, 'Using chunks to categorise chess positions', in M.Bramer and M.Petridis (Eds.) Research and Development in Intelligent Systems XXIX. SGAI 2012, pp. 93-106, 2012. (Springer London) https://doi.org/10.1007/978-1-4471-4739-8_7
• T. Bossomaier, J. Traish, F. Gobet and P.C.R. Lane, 'Neuro-cognitive model of move location in the game of Go', in the 2012 International Joint Conference on Neural Networks (IJCNN 2012). https://doi.org/10.1109/ijcnn.2012.6252377
• P.D. Green, P.C.R. Lane, A.W. Rainer, S. Scholz, and S.J. Bennett, 'Same difference: Detecting collusion by finding unusual shared elements', in Proceedings of the Fifth International Plagiarism Conference, 2012. http://hdl.handle.net/2299/18509
• F. Gobet and P.C.R. Lane, 'Bounded rationality and learning', in N.M. Seel (Ed.) Encyclopedia of the Sciences of Learning, pp.482-484, 2012. (Springer, Boston, MA) https://doi.org/10.1007/978-1-4419-1428-6_1733
• F. Gobet and P.C.R. Lane, 'Chunking mechanisms and learning', in N.M. Seel (Ed.) Encyclopedia of the Sciences of Learning, pp.541-544, 2012. (Springer, Boston, MA) https://doi.org/10.1007/978-1-4419-1428-6_1731
• F. Gobet and P.C.R. Lane, 'Learning in the CHREST cognitive architecture', in N.M. Seel (Ed.) Encyclopedia of the Sciences of Learning, pp.1920-1922, 2012. (Springer, Boston, MA) https://doi.org/10.1007/978-1-4419-1428-6_1732
• P.C.R. Lane and F. Gobet, 'Perception in chess and beyond: Commentary on Linhares and Freitas (2010)', New Ideas in Psychology, 29:156-61, 2011. https://doi.org/10.1016/J.NEWIDEAPSYCH.2010.08.002 - http://hdl.handle.net/2299/7901
• D. Clarke, P.C.R. Lane and P. Hender, 'Semi-automatic analysis of traditional media with machine learning', in M. Bramer, M. Petridis and L. Nolle (Eds.), Research and Development in Intelligent Systems XXVIII. SGAI 2011, pp. 325-37, 2011. (Springer, London) https://doi.org/10.1007/978-1-4471-2318-7_25
• D. Clarke, P.C.R. Lane and P. Hender, 'Developing robust models for favourability analysis', in A. Balahur, E. Boldrini, A. Montoyo and P. Martinez-Barco (Eds.), Second Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA), pp.44-52, Association for Computational Linguistics, Portland, Oregon, 2011. https://dlnext.acm.org/doi/abs/10.5555/2107653.2107659 - http://hdl.handle.net/2299/8083
• A.A. Albrecht, P.C.R. Lane and K. Steinhöfel, 'Analysis of local search landscapes for k-SAT instances,' Mathematics in Computer Science, 3:465-488, 2010. https://doi.org/10.1007/s11786-010-0040-7 - http://hdl.handle.net/2299/4632
• P.D. Green, P.C.R. Lane, A.W. Rainer and S. Scholz, 'Selecting features in origin analysis', in M. Bramer, M. Petridis and A. Hopgood (Eds.) Research and Development in Intelligent Systems XXVII. SGAI 2010, pp. 379-392, 2011. (Springer, London) https://doi.org/10.1007/978-0-85729-130-1_29
• F. Gobet and P.C.R. Lane, 'The CHREST architecture of cognition: The role of perception in general intelligence', in M. Hutter, E.B. Baum and E. Kitzelmann (Eds). Proceedings of the Third conference on Artificial General Intelligence, pp. 7-12, 2010. (Paris, France: Atlantis Press) https://doi.org/10.2991/AGI.2010.20 (open access)
• P.C.R. Lane and F. Gobet, 'Building models of learning and expertise with CHREST', in Proceedings of the Thirty-Second Annual Meeting of the Cognitive Science Society, 2010. https://uhra.herts.ac.uk/handle/2299/4724
• P.D. Green, P.C.R. Lane, A.W. Rainer and S. Scholz, 'Analysing Ferret XML reports to estimate the density of copied code', Technical Report 501, Science and Technology Research Institute, University of Hertfordshire, 2010. http://hdl.handle.net/2299/6128
• P.D. Green, P.C.R. Lane, A.W. Rainer and S. Scholz, 'Unscrambling code clones for one-to-one matching of duplicated code', Technical Report 502, Science and Technology Research Institute, University of Hertfordshire, 2010. http://hdl.handle.net/2299/6129
• J.W. Han, P.C.R. Lane, N. Davey and Y. Sun, 'Attention mechanisms and component-based face detection', in 2009 Proceeding of the International Conference on Methods and Models in Computer Science (ICM2CS), pp. 57-62, 2009. https://doi.org/10.1109/ICM2CS.2009.5397992
• J.A. Malcolm and P.C.R. Lane, 'Tackling the PAN'09 external plagiarism detection corpus with a desktop plagiarism detector', in Proceedings of the 3rd PAN Workshop "Uncovering Plagiarism, Authorship and Social Software Misuse", pp.29-33, 2009. http://hdl.handle.net/2299/3911
• R. Ll. Smith, F. Gobet and P.C.R. Lane, 'Checking chess checks with chunks: A model of simple check detection', in A. Howes, D. Peebles, R. Cooper (Eds.), Proceedings of the Ninth International Conference on Cognitive Modelling, 2009. pdf
• P.D. Green, P.C.R. Lane, A.W. Rainer and S. Scholz, 'Building classifiers to identify split files', in Proceedings of the International Conference on Machine Learning and Data Mining, 2009. http://hdl.handle.net/2299/3358
• P.C.R. Lane, F. Gobet and R. Ll. Smith, 'Attention mechanisms in the CHREST cognitive architecture', in L. Paletta and J. K. Tsotsos (eds), Attention in Cognitive Systems. WAPCV 2008. Lecture Notes in Computer Science(), vol 5395, pp. 183-196, 2009. (Springer, Berlin, Heidelberg) https://doi.org/10.1007/978-3-642-00582-4_14
• A.W. Rainer, P.C.R. Lane and J.A. Malcolm, 'A fast copy detection tool for forensic analysis of suspect documents', in Proceedings of the Third International Conference on Cybercrime Forensics Education & Training, 2009.
• P.C.R. Lane and F. Gobet, 'EPAM/CHREST Tutorial: Fifty years of simulating human learning', in Proceedings of the Ninth International Conference on Cognitive Modelling, 2009. pdf
• P.C.R. Lane and F. Gobet, 'EPAM/CHREST Tutorial: Fifty years of simulating human learning', in N.A. Taatgen and J. van Rijn (Eds.) Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society, pp. 13-14, (Austin, TX: Cognitive Science Society) 2009. pdf
• P.D. Green, P.C.R. Lane, A.W. Rainer and S. Scholz, 'An introduction to slice-based cohesion and coupling metrics', Technical Report 488, Science and Technology Research Institute, University of Hertfordshire, 2009. http://hdl.handle.net/2299/3694
• A.W. Rainer, P.C.R. Lane, J.A. Malcolm and S. Scholz, 'Using n-grams to rapidly characterise the evolution of software code', in 2008 23rd IEEE/ACM International Conference on Automated Software Engineering - Workshops, pp.43-52, 2008. https://doi.org/10.1109/ASEW.2008.4686320 - http://hdl.handle.net/2299/9658
• R. Ll. Smith, P.C.R. Lane and F. Gobet, 'Modelling the relationship between visual short-term memory capacity and recall ability', 2008 Second UKSIM European Symposium on Computer Modeling and Simulation, pp. 99-104, 2008. https://doi.org/10.1109/EMS.2008.44
• J.A. Malcolm and P.C.R. Lane, 'An approach to detecting article spinning', in Proceedings of the Third International Conference on Plagiarism, 2008.
• A. Albrecht, P.C.R. Lane and K. Steinhöfel, 'Combinatorial landscape analysis for k-SAT instances', in 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence, pp.2498-2504, 2008. https://doi.org/10.1109/CEC.2008.4631133
• J.A. Malcolm and P.C.R. Lane, 'Efficient search for plagiarism on the web', in Proceedings of the International Conference on Technology, Communication and Education, pp. 206-211, 2008. http://hdl.handle.net/2299/2549
• P.C.R. Lane and F. Gobet, 'A methodology for developing computational implementations of scientific theories', Proceedings of the Tenth International Conference on Computer Modelling & Simulation (IEEE Computer Society), pp. 392-7, 2008. https://doi.org/10.1109/UKSIM.2008.62 - http://hdl.handle.net/2299/3401
• J.W. Han, P.C.R. Lane, N. Davey, Y. Sun, 'A dual-layer model of high-level perception', in R.M. French and E. Thomas (eds.), From Associations to Rules: Connectionist Models of Behavior and Cognition, Proceedings of the Tenth Neural Computation and Psychology Workshop, (World Scientific) Progress in Neural Processing, vol. 17, pp. 139-150, 2008. https://doi.org/10.1142/9789812797322_0012
• A. Albrecht, P.C.R. Lane and K. Steinhöfel, 'Estimating the number of local maxima for k-SAT Instances', in Proceedings of the Tenth International Symposium on Artificial Intelligence and Mathematics (ISAIM 2008), 2008. http://hdl.handle.net/2299/2188
• P.C.R. Lane and J.A. Malcolm, 'Searching for plagiarism: An evaluation of WebFerret', in University of Hertfordshire Annual Learning and Teaching Conference, 2008.
• J.W. Han, P.C.R. Lane, N. Davey and Y. Sun, 'Comparing the performance of single-layer and two-layer support vector machines on face detection', in Proceedings of The Seventh UK Workshop on Computational Intelligence, 2007. http://hdl.handle.net/2299/783
• R. Ll. Smith, F. Gobet and P.C.R. Lane, 'An investigation into the effect of ageing on expert memory with CHREST', in Proceedings of The Seventh UK Workshop on Computational Intelligence, 2007. http://hdl.handle.net/2299/2226
• P.C.R. Lane and F. Gobet, 'Developing and evaluating cognitive architectures with behavioural tests', in Workshop on Evaluating Architectures for Intelligence, at the Twenty-Second Conference on Artificial Intelligence (AAAI-2007), 2007. http://hdl.handle.net/2299/3403
• J.P. Bao, C.M. Lyon and P.C.R. Lane, 'A text annotation method based on semantic sequence', in Proceedings of the Seventh International Workshop on Computational Semantics, 2007. http://hdl.handle.net/2299/4911
• P.C.R. Lane, 'Order effects in neural networks (Order out of chaos)', in F.E. Ritter, J. Nerb, E. Lehtinen and T. O'Shea (Eds.), In Order to Learn: How the sequence of topics influences learning, 2007. (Oxford University Press) https://doi.org/10.1093/acprof:oso/9780195178845.003.0005
• F. Gobet and P.C.R. Lane, 'An ordered chaos: How do order effects arise in a cognitive model?', in F.E. Ritter, J. Nerb, E. Lehtinen and T. O'Shea (Eds.), In Order to Learn: How the sequence of topics influences learning, 2007. (Oxford University Press) https://doi.org/10.1093/acprof:oso/9780195178845.003.0008
• P.C.R. Lane, J.A. Malcolm and A.W. Rainer, 'WebFerret: Plagiarism detection across the web', in FEIS Learning & Teaching Conference, 2007.
• J.P. Bao, C.M. Lyon, P.C.R. Lane, W. Ji, and J.A. Malcolm, 'Comparing different text similarity methods', Technical Report 461, Science and Technology Research Institute, University of Hertfordshire, 2007. http://hdl.handle.net/2299/1772
• J.P. Bao, C.M. Lyon and P.C.R. Lane, 'Copy detection in Chinese documents using Ferret,' Language Resources and Evaluation, 40:357-365, 2006. https://doi.org/10.1007/s10579-007-9020-1 - http://hdl.handle.net/2299/1121
• P.C.R. Lane, C. M. Lyon and J. A. Malcolm, 'Demonstration of the Ferret Plagiarism Detector', in Proceedings of the Second International Plagiarism Conference, 2006.
• J.P. Bao, C.M. Lyon, P.C.R. Lane, W. Ji, and J.A. Malcolm, 'Copy detection in Chinese documents using the Ferret: A report on experiments', Technical Report 456, Science and Technology Research Institute, University of Hertfordshire, 2006. http://hdl.handle.net/2299/1773
• P.C.R. Lane and F. Gobet, 'Applying multi-criteria optimisation to develop cognitive models', in Proceedings of the Fifth UK Workshop on Computational Intelligence, pp. 28-35, 2005. http://hdl.handle.net/2299/2080
• P.C.R. Lane and F. Gobet, 'Discovering predictive variables when evolving cognitive models', in S.Singh, M.Singh, C.Apte and P.Perner (eds.), Pattern Recognition and Data Mining. ICAPR 2005. Lecture Notes in Computer Science(), vol 3686, pp. 108-117, 2005. (Springer, Berlin, Heidelberg) https://doi.org/10.1007/11551188_12 - http://hdl.handle.net/2299/5575
• P.C.R. Lane and F. Gobet, 'Multi-task learning and transfer: The effect of algorithm representation', in Meta-Learning Workshop of the Twenty-Second International Conference on Machine Learning, 2005. http://hdl.handle.net/2299/4728
• F. Gobet and P.C.R. Lane, 'A distributed framework for semi-automatically developing architectures of brain and mind', in Proceedings of the First International Conference on e-Social Science, 2005. http://hdl.handle.net/2299/2081
• F. Gobet and P.C.R. Lane, 'The CHREST architecture of cognition: Listening to empirical data', in D.N.Davis (Ed.), Visions of Mind: Architectures for Cognition and Affect, pp. 204-224, 2005. (IGI Global) https://doi.org/10.4018/978-1-59140-482-8.ch010
• P.C.R. Lane and F. Gobet, 'CHREST Tutorial: Simulations of human learning', in Proceedings of the Twenty-Seventh Annual Meeting of the Cognitive Science Society, p. 17, 2005.
• F. Gobet and P.C.R. Lane, 'CHREST Tutorial: Simulations of human learning', in Proceedings of the Twenty-Sixth Annual Meeting of the Cognitive Science Society, p. 3, 2004. proceedings
• P.C.R. Lane and F.Gobet, 'Developing reproducible and comprehensible computational models,' Artificial Intelligence, 144:251-263, 2003. https://doi.org/10.1016/S0004-3702(02)00384-3 - pdf
• P.C.R. Lane and J.B. Henderson, 'Towards effective parsing with neural networks: Inherent generalisations and bounded resource effects,' Applied Intelligence, 19:83-100, 2003. https://doi.org/10.1023/A:1023820807862
• P.C.R. Lane, A. K. Sykes, and F. Gobet, 'Combining low-level perception with expectations in CHREST', in F. Schmalhofer, R. M. Young and G. Katz (eds.), Proceedings of EuroCogSci'03, (Mahwah, NJ: Lawrence Erlbaum Associates) pp. 205-210, 2003. http://hdl.handle.net/2299/6626
• P.C.R. Lane and F. Gobet, 'Towards a model of expectation-driven perception', AISB Quarterly, 114:7, 2003. pdf
• F. Gobet, P.C.R. Lane, S. Croker, P.C-H. Cheng, G. Jones, I. Oliver, and J.M. Pine, 'Chunking mechanisms in human learning,' Trends in Cognitive Sciences, 5:236-243, 2001. https://doi.org/10.1016/S1364-6613(00)01662-4
• P.C.R. Lane and J.B. Henderson, 'Incremental syntactic parsing of natural language corpora with Simple Synchrony Networks,' IEEE Transactions on Knowledge and Data Engineering, 13:219-231, 2001. https://doi.org/10.1109/69.917562 - http://hdl.handle.net/2299/8618
• P.C.R. Lane, P.C-H. Cheng and F. Gobet, 'Learning perceptual chunks for problem decomposition', in Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, pp. 528-33, 2001. pdf
• P.C.R. Lane and F. Gobet, 'Simple environments fail as illustrations of intelligence: A review of R. Pfeifer and C. Scheier, Understanding Intelligence', Artificial Intelligence, 127:261-67, 2001. https://doi.org/10.1016/S0004-3702%2801%2900063-7
• P.C.R. Lane, P.C-H. Cheng, and F. Gobet, 'The CHREST model of active perception and its role in problem solving', Behavioral and Brain Sciences, 24(5), pp.892-3, 2001. https://doi.org/10.1017/S0140525X01350100
• P.C.R. Lane, F. Gobet and P.C-H. Cheng, 'What forms the chunks in a subject's performance: Lessons from the CHREST computational model of expertise', Behavioral and Brain Sciences, 24(1), pp.128-9, 2001. https://doi.org/10.1017/S0140525X01363926
• P.C.R. Lane, P.C-H. Cheng and F. Gobet, 'CHREST+: Investigating how humans learn to solve problems with diagrams,' AISB Quarterly, 103:24-30, 2000. pdf
• P.C.R. Lane, F. Gobet and P.C-H. Cheng, 'Learning-based constraints on schemata', in Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society, pp. 776-81, 2000. proceedings
• P.C.R. Lane, F. Gobet and P.C-H. Cheng, 'Learning perceptual chunks in a computational model of problem solving with diagrams', in Proceedings of the Third International Conference on Cognitive Modelling, pp. 285-86, 2000.
• P.C.R. Lane, F. Gobet, and P.C-H. Cheng, 'Predicting perceptual chunks with a computational model of problem solving with diagrams', ESRC CREDIT Technical Report No. 67, University of Nottingham, 2000. pdf
• P.C.R. Lane, 'Simple Synchrony Networks: A new connectionist architecture applied to natural language parsing', Ph.D. Thesis, Dept. of Computer Science, University of Exeter, England, 2000. pdf
• P.C.R. Lane, P.C-H. Cheng and F. Gobet, 'Learning perceptual schemas to avoid the utility problem', in M. Bramer, A. Macintosh, and F. Coenen (Eds.) Research and Development in Intelligent Systems XVI, pp. 72-82, 2000. (Springer, London) https://doi.org/10.1007/978-1-4471-0745-3_5
• P.C.R. Lane, P.C-H. Cheng, and F. Gobet, 'Problem solving with diagrams: Modelling the learning of perceptual information', in Proceedings of the Twenty-First Annual Meeting of the Cognitive Science Society, 1999. proceedings
• P.C.R. Lane, P.C-H. Cheng, and F. Gobet, 'Problem solving with diagrams: Modelling the learning of perceptual information', ESRC CREDIT Technical Report No. 59, University of Nottingham, 1999. pdf
• P.C.R. Lane and J.B. Henderson, 'Simple Synchrony Networks: Learning to parse natural language with Temporal Synchrony Variable Binding', in Proceedings of the 1998 International Conference on Artificial Neural Networks, pp. 615-20, 1998. https://doi.org/10.1007/978-1-4471-1599-1_93
• P.C.R. Lane, 'Simple Synchrony Networks: Learning generalisations across syntactic constituents', in Proceedings of the Thirteenth European Conference on Artificial Intelligence, pp. 469-70, 1998.
• J.B. Henderson and P.C.R. Lane, 'A connectionist architecture for learning to parse', in Proceedings of the Seventeenth International Conference on Computational Linguistics and the Thirty-Sixth Annual Meeting of the Association for Computational Linguistics, 1998. https://doi.org/10.3115/980845.980934
• P.C.R. Lane, 'Machine learning and pattern recognition', M.Sc. Thesis, Dept. of Computer Science, University of Exeter, England, 1995.
• P.C.R. Lane, 'An implementation of ARTMAP', Project Report, Dept. of Computer Science, University of Exeter, England, 1995.