Projects per year
Personal profile
Research interests
- Cognitive architectures: I develop the CHREST model of human learning and perceptual expertise.
- Data mining: algorithms and applications in text and image analysis.
- Methodology: techniques and tools to aid in the development of scientific models and software.
Overview
Peter Lane has degrees in Mathematics and Computer Science. His research interests cover many aspects of machine learning and its applications, including the simulation of human learning. His early work looked at connectionist models of natural-language learning. More recently, he has worked on the CHREST cognitive architecture of human perception and learning. His current project uses genetic programming to develop cognitive models from psychological data.
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Collaborations and top research areas from the last five years
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Rapid bacteria colony counting algorithm development
Helian, N., Sun, Y., Lane, P. & Veneziano, V.
1/03/19 → 28/02/23
Project: Other
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Automatically generating scientific theories
UKRI - Economic and Social Research Council (ESRC)
1/09/13 → 1/02/15
Project: Research
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sKTP - Aquaforest +C49. OCR and image analysis.
Lane, P. & Rainer, A.
1/03/10 → 31/12/10
Project: Other
Research output
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Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference 2022
Coudron, L. (ed.), Amafabia, D., Asimea, L., Bally, J., Baran, A., Boies, A., Borjali, A., Bosomworth, C., Burningham, B., Chaliasou, N-A., CHEN, Y. K., Cheong, Y. K., Chizari, M., Chung, E., Coppin, K., David-West, O., Dennler, N., Dhakal, H., Dimov, N., Dmitruk, E., & 98 others , 4 Nov 2022, University of Hertfordshire. 128 p.Research output: Book/Report › Anthology
Open AccessFile74 Downloads (Pure) -
Simplification of genetic programs: A literature survey
Javed, N., Gobet, F. & Lane, P., 27 Apr 2022, In: Data Mining and Knowledge Discovery. 22 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling
Lane, P., Helian, N., Bodla, M. H., Zheng, M. & Moggridge, P., 15 Apr 2022, Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling. Springer Nature, p. 301-316 16 p. (Part of the Lecture Notes in Computer Science book series; vol. 13224).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Downloads (Pure) -
Evolving Understandable Cognitive Models
Lane, P., Bartlett, L., Javed, N., Pirrone, A. & Gobet, F., 2022. 7 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile58 Downloads (Pure) -
Forming Concepts of Mozart and Homer Using Short-Term and Long-Term Memory: A Computational Model Based on Chunking
Bennett, D., Gobet, F. & Lane, P., 1 Aug 2020, p. 178-184. 7 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile57 Downloads (Pure)