The Dynamics of Active Categorical Perception in an Evolved Model Agent

By Randall D. Beer. Adaptive Behavior, 2003

528 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology

View Paper: https://www.semanticscholar.org/paper/25bf405ca6ead53171ecf130715e0403b0cd5762

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Citations in the corpus

Embodied Cognition is Not What you Think it is (2013, background): “This robotics work and more like it (e.g., Brooks, 1999; Pfeifer and Scheier, 1999; Beer, 2003; Pfeifer and Bongard, 2007) reveal a great deal of complex behavior (from tidying, to locomotion, to mate selection) can emerge from placing the right type of body into a specific environmental context,…”
Enactive artificial intelligence: Investigating the systemic organization of life and mind (2009, background): “…not satisfy EAI-1, but which is nevertheless still informative for the enactive approach, for example investigations into the dynamics of minimal cognition (e.g. Beer 2003), social interaction (e.g. Froese & Di Paolo 2008), vision (e.g. Suzuki & Floreano 2008), and adaptivity (e.g. Di Paolo 2000).”
Introduction to Evolutionary Algorithms (2006, background): “That is, many systems behave intelligently and exhibit minimally cognitive behaviors, such as perceptual classification, attentional focusing, etc. [2], but the common sense is so tightly embedded in reactive routines (or controllers with simple notions of internal state) that it evades reuse for…”
Expertise effects on decision-making in sport are constrained by requisite response behaviours - a meta-analysis. (2013, background): “Particularly in sport, behavioural decision-making is a complex, temporally extended process, and it makes little sense to consider a putative optimal decision prior to, or independently of, the behavioural expression of that decision during performance (Araújo et al., 2006; Beer, 2003).”
Ecological cognition: expert decision-making behaviour in sport (2017, background): “Decisions are expressed by actions (Beer, 2003).”
Evolutionary Robotics: A New Scientific Tool for Studying Cognition (2005, background): “And even if we succeed in evolving an integrated and situated system, we cannot immediately know how it works or whether unwanted regularities have been taken advantage of by evolution; we must often resort to psychophysical experiments, lesion analysis, and dynamical studies [36].”
The Nature of Dynamical Explanation* (2011, background): “Andy Clark (2008) has recently suggested that cognitive scientists frequently rely on the explanatory heuristic of distributed functional decomposition— roughly, the heuristic of functional decomposition outlined in section 2 applied to the behavior of systems that span the physical boundaries betwe”
Defining Agency: Individuality, Normativity, Asymmetry, and Spatio-temporality in Action (2009, background): “The need to understand agents as brain–body–environment coupled dynamical systems has been repeatedly stressed (Beer, 1995, 2003; Chiel & Beer, 1997).”
The Feeling Body: Toward an Enactive Approach to Emotion (2007, background): “…the manipulation of abstract representations according to syntactic rules, and has proposed instead that cognition emerges from the coupled interactions of the brain, body, and environment (Beer, 2003; Kelso, 1995; Port & van Gelder, 1995; elen & Smith, 1994; elen, Schöner, Scheier, & Smith, 2001).”
The extended body: a case study in the neurophenomenology of social interaction (2012, unknown): “In cognitive science, for example, they can be used to challenge and probe our intuitions of the necessary conditions of cognitive behavior (Beer 2003).”
Are bigger brains better? (2009, background): “For example, a simple visual categorisation task (where patterns varying along a continuum are categorised by width or shape) can be solved with a network consisting of seven sensory neurons and five interneurons [80], and selective attention could be generated with nine sensory neurons and fewer th”
The sense of agency – a phenomenological consequence of enacting sensorimotor schemes (2017, background): “One can explore this effect over time and find counter-intuitively that commitment to a choice is not a monotonic quantity that increases progressively as the time for execution approaches but that instead it can fluctuate in complex ways (Beer 2003).”