Embodied Cognition: A field guide

By Michael L. Anderson. 2003

1,080 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Cultural Studies, Social Psychology, Cognitive Science & Psychology

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Citations in the corpus

Environmental drivers of systematicity and generalization in a situated agent (2019, background): “…in artiﬁcial neural networks if those networks are afforded access to a rich, interactive, multimodal stream of stimuli that better matches the experience of an embodied human learner (Clerkin et al., 2017; Kellman & Arterberry, 2000; James et al., 2014; Yurovsky et al., 2013; Anderson, 2003).”
What can the brain teach us about building artificial intelligence? (2016, background): “shaped to adaptively interact with the physical world (Anderson, 2003; Pfeifer & Gómez, 2009) to satisfy the organism's needs and goals (Mannella et al.”
Visual Semantic Planning Using Deep Successor Representations (2017, background): “A key element to visual intelligence is the ability to interact with the environment and plan a sequence of actions to achieve specific goals; This, in fact, is central to the survival of agents in dynamic environments [2, 37].”
Sensemaking in Crisis and Change: Inspiration and Insights from Weick (1988) (2010, background): “We propose embodiment as a second important area for future sensemaking research, connecting our previous discussion of emotion in sensemaking to the growing interest in ‘embodied cognition’, seen in cognitive science and related fields (Anderson, 2003; Cornelissen and Kafouros, 2008; Gibbs, 2006).”
On the assessment of landmark salience for human navigation (2007, background): “The proposed human information processing cycle abstracts the ease of encoding and memorizing single objects [e.g., typical objects are hard to remember while atypical objects are easy to remember (Anderson 2003)].”
Reinforcement Learning for Improving Agent Design (2018, background): “Embodied cognition [3, 40, 58] is the theory that an organism’s cognitive abilities is shaped by its body.”
Title of paper : KASPAR – A Minimally Expressive Humanoid Robot for Human-Robot Interaction Research (2009, neutral): “The ‘embodied cognition’ hypothesis, argues that "cognition is a highly embodied or situated activity and suggests that thinking beings ought therefore be considered first and foremost as acting beings" (Anderson, 2003).”
Evolving Plastic Neuromodulated Networks for Behavior Emergence of Autonomous Virtual Characters (2013, methodology): “This position is motivated by the Embodied (Anderson (2003)) and Enactive (Froese and Ziemke (2009)) approaches to AI, where intelligence is perceived as something that emerges from a close interaction among all the components involved in the cognitive phenomenon.”
Enactive artificial intelligence: Investigating the systemic organization of life and mind (2009, methodology): “Though there has been some important work done to incorporate these different approaches into a more unified framework of embodied AI (e.g. Pfeifer & Scheier 1999; Pfeifer & Bongard 2007) and cognitive science (e.g. Clark Draft paper submitted for journal publication 16 1997; Wheeler 2005), such att”
Philosophical Antecedents of Situated Cognition (2008, background): “See also Anderson (2003); Brooks (1999); Clancey (1997); Hutto (in press); Kirsh (2004); Noë (2004), Rowlands (2007), and the special issue of Phenomenology and the Cognitive Sciences (vol. 1, no. 4, 2002) on Dreyfus’s anti-representationalism. image of a slab; the slab is perceptually and handily…”
Embodiment in Mathematics Teaching and Learning: Evidence From Learners' and Teachers' Gestures (2012, background): “A related set of claims is that cognition occurs in real-world environments, is used for practical ends, and exploits the possibility of interacting with and manipulating external props (Anderson, 2003; Nathan, 2008).”
Neural reflections of meaning in gesture, language, and action (2009, background): “Anderson (2003) describes how this is the case for an extreme example: “.”
A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents (2007, methodology): “As we will see, the term cognition is often used in a similar manner [1].”