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  1. Studying strategies and types of players: experiments, logics and cognitive models.Sujata Ghosh & Rineke Verbrugge - 2018 - Synthese 195 (10):4265-4307.
    How do people reason about their opponent in turn-taking games? Often, people do not make the decisions that game theory would prescribe. We present a logic that can play a key role in understanding how people make their decisions, by delineating all plausible reasoning strategies in a systematic manner. This in turn makes it possible to construct a corresponding set of computational models in a cognitive architecture. These models can be run and fitted to the participants’ data in terms of (...)
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  • Strategic Reasoning: Building Cognitive Models from Logical Formulas.Sujata Ghosh, Ben Meijering & Rineke Verbrugge - 2014 - Journal of Logic, Language and Information 23 (1):1-29.
    This paper presents an attempt to bridge the gap between logical and cognitive treatments of strategic reasoning in games. There have been extensive formal debates about the merits of the principle of backward induction among game theorists and logicians. Experimental economists and psychologists have shown that human subjects, perhaps due to their bounded resources, do not always follow the backward induction strategy, leading to unexpected outcomes. Recently, based on an eye-tracking study, it has turned out that even human subjects who (...)
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  • The nature and transfer of cognitive skills.Niels A. Taatgen - 2013 - Psychological Review 120 (3):439-471.
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  • Criteria for the Design and Evaluation of Cognitive Architectures.Sashank Varma - 2011 - Cognitive Science 35 (7):1329-1351.
    Cognitive architectures are unified theories of cognition that take the form of computational formalisms. They support computational models that collectively account for large numbers of empirical regularities using small numbers of computational mechanisms. Empirical coverage and parsimony are the most prominent criteria by which architectures are designed and evaluated, but they are not the only ones. This paper considers three additional criteria that have been comparatively undertheorized. (a) Successful architectures possess subjective and intersubjective meaning, making cognition comprehensible to individual cognitive (...)
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  • The Locus of the Gratton Effect in Picture–Word Interference.Leendert Van Maanen & Hedderik Van Rijn - 2010 - Topics in Cognitive Science 2 (1):168-180.
    Between‐trial effects in Stroop‐like interference tasks are linked to differences in the amount of cognitive control. Trials following an incongruent trial show less interference, an effect suggested to result from the increased control caused by the incongruent previous trial (known as the Gratton effect). In this study, we show that cognitive control not only results in a different amount of interference but also in a different locus of the interference. That is, the stage of the task that shows the most (...)
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  • Individual differences in the Simon effect are underpinned by differences in the competitive dynamics in the basal ganglia: An experimental verification and a computational model.Andrea Stocco, Nicole L. Murray, Brianna L. Yamasaki, Taylor J. Renno, Jimmy Nguyen & Chantel S. Prat - 2017 - Cognition 164 (C):31-45.
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  • Individual Differences in Reward‐Based Learning Predict Fluid Reasoning Abilities.Andrea Stocco, Chantel S. Prat & Lauren K. Graham - 2021 - Cognitive Science 45 (2):e12941.
    The ability to reason and problem‐solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real‐world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self‐generated feedback about progress. We propose that such an ability is underpinned by the basal ganglia nuclei, which are critically tied to both reward processing and cognitive control. This hypothesis was implemented in a neurocomputational (...)
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  • Shape and color naming are inherently asymmetrical: Evidence from practice-based interference.Athanassios Protopapas, Artemis Markatou, Evangelos Samaras & Andreas Piokos - 2017 - Cognition 158:122-133.
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  • Cognitive Control: Componential and Yet Emergent.Ion Juvina - 2011 - Topics in Cognitive Science 3 (2):242-246.
    In this commentary, I will argue that the componential and emergent views of cognitive control as defined by Cooper (2010) do not necessarily oppose each other, and I will try to make a case for their interdependence. First, I will use the construct of cognitive inhibition—one of the main componential control functions mentioned in the target articles—to illustrate my line of reasoning. Then, I will comment on how some of the target articles, each from a different perspective, bring arguments in (...)
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  • Cognitive Control: Componential or Emergent?Richard P. Cooper - 2010 - Topics in Cognitive Science 2 (4):598-613.
    The past 25 years have witnessed an increasing awareness of the importance of cognitive control in the regulation of complex behavior. It now sits alongside attention, memory, language, and thinking as a distinct domain within cognitive psychology. At the same time it permeates each of these sibling domains. This introduction reviews recent work on cognitive control in an attempt to provide a context for the fundamental question addressed within this topic: Is cognitive control to be understood as resulting from the (...)
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  • The Modified Stroop Task Is Susceptible to Feigning: Stroop Performance and Symptom Over-endorsement in Feigned Test Anxiety.Irena Boskovic, Anita J. Biermans, Thomas Merten, Marko Jelicic, Lorraine Hope & Harald Merckelbach - 2018 - Frontiers in Psychology 9.
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  • Modeling strategies in Stroop with a general architecture of executive control.Tomasz Smoleń & Adam Chuderski - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 931--936.
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