Dynamical approaches to cognitive science.

By Randall D. Beer. Trends in Cognitive Sciences, 2000

634 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/17506640ba6b91c983b9b6c38358ef60b52de75e

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Citations in the corpus

The Dynamics of Active Categorical Perception in an Evolved Model Agent (2003, methodology): “…of dynamical systems theory are applied to the analysis of the temporal behavior of a cognitive system (Ashby, 1952; Skarda & Freeman, 1987; Thelen & Smith, 1994; Kelso, 1995; Elman, 1995; Beer, 1995 ; Port & van Gelder, 1995; van Gelder, 1998; Beer, 2000; Thelen , Schöner, Scheier, & Smith, 2001).”
Performance on the A-not-B Task of Argentinean Infants from Unsatisfied and Satisfied Basic Needs Homes (2005, methodology): “Other theoretical approach proposed the repetition of motoric schemes as the underlying process (Smith, Thelen, Titzer, & McLin, 1999; Beer, 2000), but it used a different version of the task (Diamond, 2001b).”
Trust in Automation: Designing for Appropriate Reliance (2004, background): “These concepts have successfully described motor control (Kelso, 1995; Shaw & Kinsella-Shaw, 1988) but have been applied only recently to cognitive and social behavior (Beer, 2001; Thelen, Schoner, Scheier, & Smith, 2001).”
Potential Originality and Effectiveness: The Dynamic Definition of Creativity (2016, background): “Exemplary hypothesis for investigation: H10) Extant concepts constitute saddle limit sets (Beer, 2000) in the state space representing knowledge: They are generally stable, but there exist directions leading to instability.”
Is there chaos in the brain? II. Experimental evidence and related models. (2003, background): “Representative models of this kind take the form of layers of neuron-like elements that are trained to deal with numerical input–output transformations; here the critical factors are the network’s architecture and the learning algorithms [316,319–322].”
Biologically Inspired Approaches to Advanced Information Technology (2004, background): “Rat Cortex Area (cm(2)): 4-5 [25], 6 [10], 6.”
The extended body: a case study in the neurophenomenology of social interaction (2012, neutral): “In this case it is modeled using a continuous-time recurrent neural network (CTRNN), consisting of three fully interconnected neurons (N03) with self-connections (Beer 2003). Each neuron is linked to a single input parameter, namely the binary state of the contact sensor. We assume that the general ”
Empathy and consciousness. (2001, background): “…cognitivist view that an inner mind represents an outer world using symbols in a computational language of thought, to the view that mental processes are embodied in the sensorimotor activity of the organism and embedded in the environment (see Clark, 1999, and Beer, 2000, for recent discussions).”
Horizons for the Enactive Mind: Values, Social Interaction, and Play (2010, background): “Natural cognitive systems are simply not in the business of accessing their world in order to build accurate pictures of it.”
An efficient automated parameter tuning framework for spiking neural networks (2014, methodology): “Alternatively, indirect encoding allows the genotype to specify a rule or method for growing the ANN instead of specifying the parameter values directly (Husbands et al., 1998; Beer, 2000; Floreano and Urzelai, 2001; Stanley and Miikkulainen, 2003).”
Evolutionary Robotics: A New Scientific Tool for Studying Cognition (2005, methodology): “These basic assumptions or hypotheses underlie what is sometimes called the dynamical systems (DS) approach to cognition [11, 15, 16].”
Whatever next? Predictive brains, situated agents, and the future of cognitive science. (2013, background): “More positively, they highlight some recent studies (Eliades & Wang 2008; Keller et al. 2012; Meyer & Olson 2011) that offer tantalizing hints of such evidence. Especially striking here is the work by Keller et al. (2012) offering early evidence for the existence of prediction-error neurons in supra”