Browsing Research publications by Author "Lane, Peter"
Now showing items 1-20 of 31
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Analysing Ferret XML reports to estimate the density of copied code
Green, Pamela; Lane, Peter; Rainer, Austen; Scholz, Sven-Bodo (University of Hertfordshire, 2010)This document explains a method for identifying dense blocks of copied text in pairs of files. The files are compared suing Ferret, a copy-detection tool which computes a similarity score based on trigrams. This similarity ... -
Analysing psychological data by evolving computational models
Lane, Peter; Gobet, Fernand; Addis, Mark; Sozou, Peter (Springer Nature, 2016) -
The art of balance: Problem-solving vs pattern-recognition
Lloyd-Kelly, Martyn; Gobet, Fernand; Lane, Peter (Springer Nature, 2015) -
Bounded rationality and learning
Gobet, Fernand; Lane, Peter (Springer Nature, 2012) -
CHREST implementation : Java-based implementation of the CHREST cognitive architecture
Science & Technology Research Institute; School of Computer Science; Centre for Computer Science and Informatics Research; Lane, Peter (2012)The Chrest Shell is a graphical application and library for running a variety of Chrest models and experiments. Currently, the shell supports a limited range of domain-types, but more functionality is available using the ... -
Chunking mechanisms and learning
Gobet, Fernand; Lane, Peter (Springer Nature, 2012) -
'Chunks, schemata and retrieval structures: Past and current computational models
Gobet, Fernand; Lane, Peter; Lloyd-Kelly, Martyn (2015-11-24)A recurring question in psychology and cognitive science concerns the expression of theories that are internally consistent and testable. Natural language is unsatisfactory, as theoretical concepts and mechanisms are not ... -
Computational scientific discovery and cognitive science theories
Addis, Mark; Sozou, Peter; Lane, Peter; Gobet, Fernand (Springer Nature, 2016) -
Developing robust models for favourability analysis
Clarke, Daoud; Lane, Peter; Hender, Paul (Association for Computational Linguistics, 2011)Locating documents carrying positive or negative favourability is an important application within media analysis. This paper presents some empirical results on the challenges facing a machine-learning approach to this kind ... -
Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling
Lane, Peter; Helian, Na; Bodla, Muhammad Haad; Zheng, Minghua; Moggridge, Paul (Springer Nature, 2022-04-15)The performance of cloud computing depends in part on job-scheduling algorithms, but also on the connection structure. Previous work on this structure has mostly looked at fixed and static connections. However, we argue ... -
Evolving Non-Dominated Parameter Sets for Computational Models from Multiple Experiments
Lane, Peter; Gobet, Fernand (2014-04-25)Creating robust, reproducible and optimal computational models is a key challenge for theorists in many sciences. Psychology and cognitive science face particular challenges as large amounts of data are collected and many ... -
Evolving Understandable Cognitive Models
Lane, Peter; Bartlett, Laura; Javed, Noman; Pirrone, Angelo; Gobet, Fernand (Applied Cognitive Science Lab, 2022-07-27)Cognitive models for explaining and predicting human performance in experimental settings are often challenging to develop and verify. We describe a process to automatically generate the programs for cognitive models from ... -
Feature weighting as a tool for unsupervised feature selection
Panday, Deepak; Cordeiro De Amorim, Renato; Lane, Peter (2018-01-01)Feature selection is a popular data pre-processing step. The aim is to remove some of the features in a data set with minimum information loss, leading to a number of benefits including faster running time and easier data ... -
Forming Concepts of Mozart and Homer Using Short-Term and Long-Term Memory: A Computational Model Based on Chunking
Bennett, Dmitry; Gobet, Fernand; Lane, Peter (2020-08-01)A fundamental issue in cognitive science concerns the mental processes that underlie the formation and retrieval of concepts in the short-term and long-term memory (STM and LTM respectively). This study advances Chunking ... -
Genetic Programming for Developing Simple Cognitive Models
Bartlett, Laura; Pirrone, Angelo; Javed, Noman; Lane, Peter; Gobet, Fernand (Cognitive Science Society, 2023-07-29)Frequently in psychology, simple tasks that are designed to tap a particular feature of cognition are used without considering the other mechanisms that might be at play. For example, the delayed-match-to-sample (DMTS) ... -
Heuristic Search of Heuristics
Pirrone, Angelo; Lane, Peter; Bartlett, Laura; Javed, Noman; Gobet, Fernand (Springer Nature, 2023-11-08)How can we infer the strategies that human participants adopt to carry out a task? One possibility, which we present and discuss here, is to develop a large number of strategies that participants could have adopted, given ... -
Human problem solving: Beyond Newell et al.'s (1958) Elements of a theory of human problem solving
Gobet, Fernand; Lane, Peter (SAGE Publications, 2015) -
Learning in the CHREST cognitive architecture
Gobet, Fernand; Lane, Peter (Springer Nature, 2012) -
On developing robust models for favourability analysis : Model choice, feature sets and imbalanced data
Lane, Peter; Clarke, Daoud; Hender, Paul (2012)Locating documents carrying positive or negative favourability is an important application within media analysis. This article presents some empirical results on the challenges facing a machine-learning approach to this ... -
Piece of mind: Long-term memory structure in ACT-R and CHREST
Lloyd-Kelly, Martyn; Gobet, Fernand; Lane, Peter (Cognitive Science Society, 2015)Creating a plausible Unified Theory of Cognition (UTC) requires considerable effort from large, potentially distributed, teams. Computational Cognitive Architectures (CCAs) provide researchers with a concrete medium for ...