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  1. Perceiving, remembering, and communicating structure in events.Jeffrey M. Zacks, Barbara Tversky & Gowri Iyer - 2001 - Journal of Experimental Psychology: General 130 (1):29.
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  • Stimulus information as a determinant of reaction time.Ray Hyman - 1953 - Journal of Experimental Psychology 45 (3):188.
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  • Scaling up from atomic to complex events.Jeffrey M. Zacks - 2001 - Behavioral and Brain Sciences 24 (5):909-910.
    The Theory of Event Coding deals with brief events but has implications for longer, complex events, particularly goal-directed activities. Two of the theory's central claims are consistent with or assumed by theories of complex events. However, the claim that event codes arise from the rapid activation and integration of features presents challenges for scaling up to larger events.
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  • The theory of event coding (TEC): A framework for perception and action planning.Bernhard Hommel, Jochen Müsseler, Gisa Aschersleben & Wolfgang Prinz - 2001 - Behavioral and Brain Sciences 24 (5):849-878.
    Traditional approaches to human information processing tend to deal with perception and action planning in isolation, so that an adequate account of the perception-action interface is still missing. On the perceptual side, the dominant cognitive view largely underestimates, and thus fails to account for, the impact of action-related processes on both the processing of perceptual information and on perceptual learning. On the action side, most approaches conceive of action planning as a mere continuation of stimulus processing, thus failing to account (...)
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  • On distinguishing epistemic from pragmatic action.David Kirsh & Paul Maglio - 1994 - Cognitive Science 18 (4):513-49.
    We present data and argument to show that in Tetris - a real-time interactive video game - certain cognitive and perceptual problems are more quickly, easily, and reliably solved by performing actions in the world rather than by performing computational actions in the head alone. We have found that some translations and rotations are best understood as using the world to improve cognition. These actions are not used to implement a plan, or to implement a reaction; they are used to (...)
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  • Tea With Milk? A Hierarchical Generative Framework of Sequential Event Comprehension.Gina R. Kuperberg - 2021 - Topics in Cognitive Science 13 (1):256-298.
    Inspired by, and in close relation with, the contributions of this special issue, Kuperberg elegantly links event comprehension, production, and learning. She proposes an overarching hierarchical generative framework of processing events enabling us to make sense of the world around us and to interact with it in a competent manner.
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  • How Does the Mind Render Streaming Experience as Events?Dare A. Baldwin & Jessica E. Kosie - 2021 - Topics in Cognitive Science 13 (1):79-105.
    Events—the experiences we think we are having and recall having had—are constructed; they are not what actually occurs. What occurs is ongoing dynamic, multidimensional, sensory flow, which is somehow transformed via psychological processes into structured, describable, memorable units of experience. But what is the nature of the redescription processes that fluently render dynamic sensory streams as event representations? How do such processes cope with the ubiquitous novelty and variability that characterize sensory experience? How are event‐rendering skills acquired and how do (...)
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  • The Scene Perception & Event Comprehension Theory (SPECT) Applied to Visual Narratives.Lester C. Loschky, Adam M. Larson, Tim J. Smith & Joseph P. Magliano - 2020 - Topics in Cognitive Science 12 (1):311-351.
    Understanding how people comprehend visual narratives (including picture stories, comics, and film) requires the combination of traditionally separate theories that span the initial sensory and perceptual processing of complex visual scenes, the perception of events over time, and comprehension of narratives. Existing piecemeal approaches fail to capture the interplay between these levels of processing. Here, we propose the Scene Perception & Event Comprehension Theory (SPECT), as applied to visual narratives, which distinguishes between front-end and back-end cognitive processes. Front-end processes occur (...)
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  • Representational Momentum in the Expertise Context: Support for the Theory of Event Coding as an Explanation for Action Anticipation.Dior N. Anderson, Victoria M. Gottwald & Gavin P. Lawrence - 2019 - Frontiers in Psychology 10.
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  • Plateaus, Dips, and Leaps: Where to Look for Inventions and Discoveries During Skilled Performance.Wayne D. Gray & John K. Lindstedt - 2017 - Cognitive Science 41 (7):1838-1870.
    The framework of plateaus, dips, and leaps shines light on periods when individuals may be inventing new methods of skilled performance. We begin with a review of the role performance plateaus have played in experimental psychology, human–computer interaction, and cognitive science. We then reanalyze two classic studies of individual performance to show plateaus and dips which resulted in performance leaps. For a third study, we show how the statistical methods of Changepoint Analysis plus a few simple heuristics may direct our (...)
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  • Studies on the telegraphic language: The acquisition of a hierarchy of habits.Lowe Bryan William & Noble Harter - 1899 - Psychological Review 6 (4):345-375.
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  • (1 other version)Interrogating Feature Learning Models to Discover Insights Into the Development of Human Expertise in a Real‐Time, Dynamic Decision‐Making Task.Catherine Sibert, Wayne D. Gray & John K. Lindstedt - 2017 - Topics in Cognitive Science 9 (2):374-394.
    Tetris provides a difficult, dynamic task environment within which some people are novices and others, after years of work and practice, become extreme experts. Here we study two core skills; namely, choosing the goal or objective function that will maximize performance and a feature-based analysis of the current game board to determine where to place the currently falling zoid so as to maximize the goal. In Study 1, we build cross-entropy reinforcement learning models to determine whether different goals result in (...)
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  • (1 other version)Interrogating Feature Learning Models to Discover Insights Into the Development of Human Expertise in a Real‐Time, Dynamic Decision‐Making Task.Catherine Sibert, Wayne D. Gray & John K. Lindstedt - 2016 - Topics in Cognitive Science 8 (4).
    Tetris provides a difficult, dynamic task environment within which some people are novices and others, after years of work and practice, become extreme experts. Here we study two core skills; namely, choosing the goal or objective function that will maximize performance and a feature-based analysis of the current game board to determine where to place the currently falling zoid so as to maximize the goal. In Study 1, we build cross-entropy reinforcement learning models to determine whether different goals result in (...)
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  • Event‐Predictive Cognition: A Root for Conceptual Human Thought.Martin V. Butz, Asya Achimova, David Bilkey & Alistair Knott - 2021 - Topics in Cognitive Science 13 (1):10-24.
    Butz, Achimova, Bilkey, and Knott provide a topic overview and discuss whether the special issue contributions may imply that event‐predictive abilities constitute a root for conceptual human thought, because they enable complex, mutually beneficial, but also intricately competitive, social interactions and language communication.
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  • SpotLight on Dynamics of Individual Learning.Roussel Rahman & Wayne D. Gray - 2020 - Topics in Cognitive Science 12 (3):975-991.
    The ability to learn complex tasks is fundamental to being human. Rahman and Gray examine this process in the context of learning to play a simple video game, using a tool called SpotLight to examine the low‐level process of skill and strategy improvements during this process. This paper was awarded the Allen Newell Best Student‐Led Paper Award at ICCM 2019.
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  • Action Production and Event Perception as Routine Sequential Behaviors.Richard P. Cooper - 2021 - Topics in Cognitive Science 13 (1):63-78.
    Topics in Cognitive Science, Volume 13, Issue 1, Page 63-78, January 2021.
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  • Discovering the Sequential Structure of Thought.John R. Anderson & Jon M. Fincham - 2014 - Cognitive Science 38 (2):322-352.
    Multi-voxel pattern recognition techniques combined with Hidden Markov models can be used to discover the mental states that people go through in performing a task. The combined method identifies both the mental states and how their durations vary with experimental conditions. We apply this method to a task where participants solve novel mathematical problems. We identify four states in the solution of these problems: Encoding, Planning, Solving, and Respond. The method allows us to interpret what participants are doing on individual (...)
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  • Six tenets for event perception.James E. Cutting - 1981 - Cognition 10 (1-3):71-78.
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