6 found
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  1. Dynamical Approaches to Cognitive Science.Randall D. Beer - 2000 - Trends in Cognitive Sciences 4 (3):91-99.
  2.  65
    A Dynamical Systems Perspective on Agent-Environment Interaction.Randall D. Beer - 1995 - Artificial Intelligence 72 (1-2):173-215.
  3.  58
    Information Processing and Dynamics in Minimally Cognitive Agents.Randall D. Beer & Paul L. Williams - 2015 - Cognitive Science 39 (1):1-38.
    There has been considerable debate in the literature about the relative merits of information processing versus dynamical approaches to understanding cognitive processes. In this article, we explore the relationship between these two styles of explanation using a model agent evolved to solve a relational categorization task. Specifically, we separately analyze the operation of this agent using the mathematical tools of information theory and dynamical systems theory. Information-theoretic analysis reveals how task-relevant information flows through the system to be combined into a (...)
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  4.  88
    Computational and Dynamical Languages for Autonomous Agents.Randall D. Beer - 1995 - In Tim van Gelder & Robert Port (eds.), Mind as Motion: Explorations in the Dynamics of Cognition. MIT Press. pp. 121--147.
  5. Framing the Debate Between Computational and Dynamical Approaches to Cognitive Science.Randall D. Beer - 1998 - Behavioral and Brain Sciences 21 (5):630-630.
    van Gelder argues that computational and dynamical systems are mathematically distinct kinds of systems. Although there are real experimental and theoretical differences between adopting a computational or dynamical perspective on cognition, and the dynamical approach has much to recommend it, the debate cannot be framed this rigorously. Instead, what is needed is careful study of concrete models to improve our intuitions.
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  6. Biological Neural Networks in Invertebrate Neuroethology and Robotics.Randall D. Beer, Roy E. Ritzmann & Thomas McKenna - 1994 - Bioessays 16 (11):857.
     
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