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  1. From Event Representation to Linguistic Meaning.Ercenur Ünal, Yue Ji & Anna Papafragou - 2021 - Topics in Cognitive Science 13 (1):224-242.
    A fundamental aspect of human cognition is the ability to parse our constantly unfolding experience into meaningful representations of dynamic events and to communicate about these events with others. How do we communicate about events we have experienced? Influential theories of language production assume that the formulation and articulation of a linguistic message is preceded by preverbal apprehension that captures core aspects of the event. Yet the nature of these preverbal event representations and the way they are mapped onto language (...)
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  • Events, Event Prediction, and Predictive Processing.Jakob Hohwy, Augustus Hebblewhite & Tom Drummond - 2021 - Topics in Cognitive Science 13 (1):252-255.
    Events and event prediction are pivotal concepts across much of cognitive science, as demonstrated by the papers in this special issue. We first discuss how the study of events and the predictive processing framework may fruitfully inform each other. We then briefly point to some links to broader philosophical questions about events.
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  • Emergent Goal‐Anticipatory Gaze in Infants via Event‐Predictive Learning and Inference.Christian Gumbsch, Maurits Adam, Birgit Elsner & Martin V. Butz - 2021 - Cognitive Science 45 (8).
    Cognitive Science, Volume 45, Issue 8, August 2021.
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  • Constructing Expertise: Surmounting Performance Plateaus by Tasks, by Tools, and by Techniques.Wayne D. Gray & Sounak Banerjee - 2021 - Topics in Cognitive Science 13 (4):610-665.
    Acquiring expertise in a task is often thought of as an automatic process that follows inevitably with practice according to the log‐log law (aka: power law) of learning. However, as Ericsson, Chase, and Faloon (1980) showed, this is not true for digit‐span experts and, as we show, it is certainly not true for Tetris players at any level of expertise. Although some people may simply “twitch” faster than others, the limit to Tetris expertise is not raw keypress time but the (...)
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  • Constructing Expertise: Surmounting Performance Plateaus by Tasks, by Tools, and by Techniques.Wayne D. Gray & Sounak Banerjee - 2021 - Topics in Cognitive Science 13 (4):610-665.
    Acquiring expertise in a task is often thought of as an automatic process that follows inevitably with practice according to the log‐log law (aka: power law) of learning. However, as Ericsson, Chase, and Faloon (1980) showed, this is not true for digit‐span experts and, as we show, it is certainly not true for Tetris players at any level of expertise. Although some people may simply “twitch” faster than others, the limit to Tetris expertise is not raw keypress time but the (...)
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  • Resourceful Event-Predictive Inference: The Nature of Cognitive Effort.Martin V. Butz - 2022 - Frontiers in Psychology 13.
    Pursuing a precise, focused train of thought requires cognitive effort. Even more effort is necessary when more alternatives need to be considered or when the imagined situation becomes more complex. Cognitive resources available to us limit the cognitive effort we can spend. In line with previous work, an information-theoretic, Bayesian brain approach to cognitive effort is pursued: to solve tasks in our environment, our brain needs to invest information, that is, negative entropy, to impose structure, or focus, away from a (...)
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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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  • 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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  • Learning about others: Modeling social inference through ambiguity resolution.Asya Achimova, Gregory Scontras, Christian Stegemann-Philipps, Johannes Lohmann & Martin V. Butz - 2022 - Cognition 218 (C):104862.
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