28 found
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  1.  14
    The Multiattribute Linear Ballistic Accumulator Model of Context Effects in Multialternative Choice.Jennifer S. Trueblood, Scott D. Brown & Andrew Heathcote - 2014 - Psychological Review 121 (2):179-205.
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  2.  15
    Racing to Remember: A Theory of Decision Control in Event-Based Prospective Memory.Luke Strickland, Shayne Loft, Roger W. Remington & Andrew Heathcote - 2018 - Psychological Review 125 (6):851-887.
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  3.  8
    Slow Down and Remember to Remember! A Delay Theory of Prospective Memory Costs.Andrew Heathcote, Shayne Loft & Roger W. Remington - 2015 - Psychological Review 122 (2):376-410.
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  4.  15
    Strategic Attention and Decision Control Support Prospective Memory in a Complex Dual-Task Environment.Russell J. Boag, Luke Strickland, Shayne Loft & Andrew Heathcote - 2019 - Cognition 191:103974.
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  5.  5
    Urgency, Leakage, and the Relative Nature of Information Processing in Decision-Making.Jennifer S. Trueblood, Andrew Heathcote, Nathan J. Evans & William R. Holmes - 2021 - Psychological Review 128 (1):160-186.
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  6.  8
    The Fragile Nature of Contextual Preference Reversals: Reply to Tsetsos, Chater, and Usher (2015).Jennifer S. Trueblood, Scott D. Brown & Andrew Heathcote - 2015 - Psychological Review 122 (4):848-853.
  7.  13
    A Ballistic Model of Choice Response Time.Scott Brown & Andrew Heathcote - 2005 - Psychological Review 112 (1):117-128.
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  8.  15
    An Integrated Model of Choices and Response Times in Absolute Identification.Scott D. Brown, A. A. J. Marley, Christopher Donkin & Andrew Heathcote - 2008 - Psychological Review 115 (2):396-425.
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  9.  22
    Integrating Cognitive Process and Descriptive Models of Attitudes and Preferences.Guy E. Hawkins, A. A. J. Marley, Andrew Heathcote, Terry N. Flynn, Jordan J. Louviere & Scott D. Brown - 2014 - Cognitive Science 38 (4):701-735.
    Discrete choice experiments—selecting the best and/or worst from a set of options—are increasingly used to provide more efficient and valid measurement of attitudes or preferences than conventional methods such as Likert scales. Discrete choice data have traditionally been analyzed with random utility models that have good measurement properties but provide limited insight into cognitive processes. We extend a well-established cognitive model, which has successfully explained both choices and response times for simple decision tasks, to complex, multi-attribute discrete choice data. The (...)
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  10.  7
    Model Flexibility Analysis Does Not Measure the Persuasiveness of a Fit.Nathan J. Evans, Zachary L. Howard, Andrew Heathcote & Scott D. Brown - 2017 - Psychological Review 124 (3):339-345.
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  11.  11
    Refining the Law of Practice.Nathan J. Evans, Scott D. Brown, Douglas J. K. Mewhort & Andrew Heathcote - 2018 - Psychological Review 125 (4):592-605.
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  12.  10
    Reactive Control Processes Contributing to Residual Switch Cost and Mixing Cost Across the Adult Lifespan.Lisa R. Whitson, Frini Karayanidis, Ross Fulham, Alexander Provost, Patricia T. Michie, Andrew Heathcote & Shulan Hsieh - 2014 - Frontiers in Psychology 5.
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  13. State-Trace Analysis of the Face-Inversion Effect.Melissa Prince & Andrew Heathcote - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  14.  1
    Racing Against the Clock: Evidence-Based Versus Time-Based Decisions.Guy E. Hawkins & Andrew Heathcote - 2021 - Psychological Review 128 (2):222-263.
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  15.  64
    Two Routes to Expertise in Mental Rotation.Alexander Provost, Blake Johnson, Frini Karayanidis, Scott D. Brown & Andrew Heathcote - 2013 - Cognitive Science 37 (7):1321-1342.
    The ability to imagine objects undergoing rotation (mental rotation) improves markedly with practice, but an explanation of this plasticity remains controversial. Some researchers propose that practice speeds up the rate of a general-purpose rotation algorithm. Others maintain that performance improvements arise through the adoption of a new cognitive strategy—repeated exposure leads to rapid retrieval from memory of the required response to familiar mental rotation stimuli. In two experiments we provide support for an integrated explanation of practice effects in mental rotation (...)
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  16.  2
    An App-Enhanced Cognitive Fitness Training Program for Athletes: The Rationale and Validation Protocol.Eugene Aidman, Gerard J. Fogarty, John Crampton, Jeffrey Bond, Paul Taylor, Andrew Heathcote & Leonard Zaichkowsky - 2022 - Frontiers in Psychology 13.
    The core dimensions of cognitive fitness, such as attention and cognitive control, are emerging through a transdisciplinary expert consensus on what has been termed the Cognitive Fitness Framework. These dimensions represent key drivers of cognitive performance under pressure across many occupations, from first responders to sport, performing arts and the military. The constructs forming the building blocks of CF2 come from the RDoC framework, an initiative of the US National Institute of Mental Health aimed at identifying the cognitive processes underlying (...)
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  17.  6
    Titrating Decision Processes in the Mental Rotation Task.Alexander Provost & Andrew Heathcote - 2015 - Psychological Review 122 (4):735-754.
  18.  8
    The Falsifiability of Actual Decision-Making Models.Andrew Heathcote, E. -J. Wagenmakers & Scott D. Brown - 2014 - Psychological Review 121 (4):676-678.
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  19. Long Term Implicit and Explicit Memory for Briefly Studied Words.Lee Averell & Andrew Heathcote - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 978--0.
  20. Designing State-Trace Experiments to Assess the Number of Latent Psychological Variables Underlying Binary Choices.Guy Hawkins, Melissa Prince, Scott Brown & Andrew Heathcote - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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  21.  11
    The Law of Practice and Localist Neural Network Models.Andrew Heathcote & Scott Brown - 2000 - Behavioral and Brain Sciences 23 (4):479-480.
    An extensive survey by Heathcote et al. (in press) found that the Law of Practice is closer to an exponential than a power form. We show that this result is hard to obtain for models using leaky competitive units when practice affects only the input, but that it can be accommodated when practice affects shunting self-excitation.
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  22. Systematic Parameter Reviews in Cognitive Modeling: Towards a Robust and Cumulative Characterization of Psychological Processes in the Diffusion Decision Model.N. -Han Tran, Leendert van Maanen, Andrew Heathcote & Dora Matzke - 2021 - Frontiers in Psychology 11.
    Parametric cognitive models are increasingly popular tools for analyzing data obtained from psychological experiments. One of the main goals of such models is to formalize psychological theories using parameters that represent distinct psychological processes. We argue that systematic quantitative reviews of parameter estimates can make an important contribution to robust and cumulative cognitive modeling. Parameter reviews can benefit model development and model assessment by providing valuable information about the expected parameter space, and can facilitate the more efficient design of experiments. (...)
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  23. Accumulating Advantages: A New Conceptualization of Rapid Multiple Choice.Don van Ravenzwaaij, Scott D. Brown, A. A. J. Marley & Andrew Heathcote - 2020 - Psychological Review 127 (2):186-215.
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  24. Non-Decision Time Effects in the Lexical Decision Task.Christopher Donkin, Andrew Heathcote, Scott Brown & Sally Andrews - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
  25.  1
    A Unified Theory of Discrete and Continuous Responding.Peter D. Kvam, A. A. J. Marley & Andrew Heathcote - forthcoming - Psychological Review.
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  26.  6
    Is Unbounded Visual Search Intractable?Andrew Heathcote & D. J. K. Mewhort - 1990 - Behavioral and Brain Sciences 13 (3):449-449.
  27.  2
    Two Processes Are Not Necessary to Understand Memory Deficits.Adam F. Osth, John C. Dunn, Andrew Heathcote & Roger Ratcliff - 2019 - Behavioral and Brain Sciences 42.
    Bastin et al. propose a dual-process model to understand memory deficits. However, results from state-trace analysis have suggested a single underlying variable in behavioral and neural data. We advocate the usage of unidimensional models that are supported by data and have been successful in understanding memory deficits and in linking to neural data.
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  28.  1
    A General Architecture for Modeling the Dynamics of Goal-Directed Motivation and Decision-Making.Timothy Ballard, Andrew Neal, Simon Farrell, Erin Lloyd, Jonathan Lim & Andrew Heathcote - 2022 - Psychological Review 129 (1):146-174.
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