13 found
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  1.  6
    Editors' Review and Forthcoming Topic Event‐Predictive Cognition: From Sensorimotor Via Conceptual to Language‐Based Structures and Processes.Martin V. Butz, Asya Achimova, David Bilkey & Alistair Knott - forthcoming - Topics in Cognitive Science.
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  2.  12
    Toward a Unified Sub-Symbolic Computational Theory of Cognition.Martin V. Butz - 2016 - Frontiers in Psychology 7.
  3.  6
    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.
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  4.  28
    Mario Becomes Cognitive.Fabian Schrodt, Jan Kneissler, Stephan Ehrenfeld & Martin V. Butz - 2017 - Topics in Cognitive Science 9 (2):343-373.
    In line with Allen Newell's challenge to develop complete cognitive architectures, and motivated by a recent proposal for a unifying subsymbolic computational theory of cognition, we introduce the cognitive control architecture SEMLINCS. SEMLINCS models the development of an embodied cognitive agent that learns discrete production rule-like structures from its own, autonomously gathered, continuous sensorimotor experiences. Moreover, the agent uses the developing knowledge to plan and control environmental interactions in a versatile, goal-directed, and self-motivated manner. Thus, in contrast to several well-known (...)
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  5.  7
    Mental Space Maps Into the Future.Anna Belardinelli, Johannes Lohmann, Alessandro Farnè & Martin V. Butz - 2018 - Cognition 176 (C):65-73.
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  6. 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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  7.  3
    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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  8.  10
    Exploiting Redundancy for Flexible Behavior: Unsupervised Learning in a Modular Sensorimotor Control Architecture.Martin V. Butz, Oliver Herbort & Joachim Hoffmann - 2007 - Psychological Review 114 (4):1015-1046.
  9.  4
    Too Good to Be True? Ideomotor Theory From a Computational Perspective.Oliver Herbort & Martin V. Butz - 2012 - Frontiers in Psychology 3.
  10.  2
    How the Mind Comes Into Being: Introducing Cognitive Science From a Functional and Computational Perspective.Martin V. Butz & Esther F. Kutter - 2016 - Oxford University Press UK.
    This book offers an interdisciplinary introduction to embodied cognitive science, addressing the question of how the mind comes into being while actively interacting with and learning from the environment by means of the own body. By pursuing a functional and computational perspective, concrete answers are provided about the fundamental mechanisms and developing structures that must bring the mind about, taking into account insights from biology, neuroscience, psychology, and philosophy as well as from computer science, machine learning, and artificial intelligence.
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  11.  6
    How Deep Is Your SNARC? Interactions Between Numerical Magnitude, Response Hands, and Reachability in Peripersonal Space.Johannes Lohmann, Philipp A. Schroeder, Hans-Christoph Nuerk, Christian Plewnia & Martin V. Butz - 2018 - Frontiers in Psychology 9.
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  12.  23
    The Influence of Human Body Orientation on Distance Judgments.Edgard Jung, Kohske Takahashi, Katsumi Watanabe, Stephan de la Rosa, Martin V. Butz, Heinrich H. Bülthoff & Tobias Meilinger - 2016 - Frontiers in Psychology 7.
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  13.  4
    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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