27 October 2022
Introduction to Embodied Cognitive Science
There is nothing so theoretical as a good method — Greenwald 2012
There is nothing so practical as a good theory — Lewin 1951
The body and its dynamics
Interaction and its dynamics
The environment
are constitutive of cognition
are constitutive of cognition
is constitutive of cognition
Break or change (and measure) a small part
Simulate operations
Isolate minimal operation
Interpret parts, wholes, and relations
Kirsh, D. (2011). How marking in dance constitutes thinking with the body.
Behavioural measures
Regular cognitive science targeting the body
Rochat, P., Neisser, U., & Marian, V. (1998). Are young infants sensitive to interpersonal contingency?
Murray, L., & Trevarthen, C. (1985). Emotional regulations of interactions between two-month-olds and their mothers.
Behavioural measures
Regular cognitive science targeting the body
Ablation or modification of interactions
Behavioural measures
Regular cognitive science targeting the body
Ablation or modification of interactions
Sensory substitution
O’Regan, J. K., & Noë, A. (2001). A sensorimotor account of vision and visual consciousness.
Froese, T., & Ortiz-Garin, G. U. (2020). Where Is the Action in Perception? An Exploratory Study With a Haptic Sensory Substitution Device.
Behavioural measures
Regular cognitive science targeting the body
Ablation or modification of interactions
Sensory substitution
Instrumentation-based measures
2-person neuroscience
Babiloni, F., & Astolfi, L. (2014). Social neuroscience and hyperscanning techniques: Past, present and future.
Behavioural measures
Regular cognitive science targeting the body
Ablation or modification of interactions
Sensory substitution
Instrumentation-based measures
2-person neuroscience
Synchronised signals
Differing frequency signals
Synchronized and desynchronized signals
Yiyuan, Y et al. (2021). Wireless multilateral devices for optogenetic studies of individual and social behaviors.
2017
A case may be made for mathematization of scientific domains as a course toward resolving theoretical disputes, clarifying conceptual confusions, and making potential decisions concerning the greater validity of one verbalized scientific description over another. — Dale and Spivey 2005
Theory or controversy as targets
Simulate autopoiesis
Beer, R. D. (2014). The Cognitive Domain of a Glider in the Game of Life.
Theory or controversy as targets
Dynamical Systems Theory vs. Information Theory
Simulate autopoiesis
Beer, R. D., & Williams, P. L. (2015). Information Processing and Dynamics in Minimally Cognitive Agents.
Theory or controversy as targets
Dynamical Systems Theory vs. Information Theory
Simulate autopoiesis
System design
Minimal organisms
Braitenberg, V. (1986). Vehicles: Experiments in synthetic psychology.
Theory or controversy as targets
Dynamical Systems Theory vs. Information Theory
Simulate autopoiesis
System design
Minimal organisms
Neuro-biomechanical interactions vs. neural control
Beer, R. D. (2009). Beyond Control: The Dynamics of Brain-Body-Environment Interaction in Motor Systems.
Theory or controversy as targets
Dynamical Systems Theory vs. Information Theory
Simulate autopoiesis
System design
Minimal organisms
Neuro-biomechanical interactions vs. neural control
Robotics
Scruffy body-based robotics
Dynamic AI, body computation
Brooks, R. A. (1990). Elephants don’t play chess.
Nakajima, K., Hauser, H., Li, T., & Pfeifer, R. (2018). Exploiting the Dynamics of Soft Materials for Machine Learning.
Dotov, D., & Froese, T. (2020). Dynamic Interactive Artificial Intelligence: Sketches for a Future AI Based on Human-Machine Interaction.
Minimal sensorimotor interaction
Minimal sensorimotor interaction
Human Dynamic Clamp and the Haken-Kelso-Bunz model
Dumas, G., Guzman, G. C. de, Tognoli, E., & Kelso, J. A. S. (2014). The human dynamic clamp as a paradigm for social interaction.
Kelso, J. A. S. (2008). Haken-Kelso-Bunz model.
Minimal sensorimotor interaction
Human Dynamic Clamp and the Haken-Kelso-Bunz model
Perceptual Crossing Paradigm
Zapata-Fonseca, L., Dotov, D., Fossion, R., & Froese, T. (2016). Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties.
Kojima, H., Froese, T., Oka, M., Iizuka, H., & Ikegami, T. (2017). A Sensorimotor Signature of the Transition to Conscious Social Perception: Co-regulation of Active and Passive Touch.
Conversation Analysis
Dingemanse, M., & Floyd, S. (2014). Conversation across cultures.
Informal talk can be studied across different human societies: it can be inspected for how it helps construct distinct linguistic and cultural worlds and for how it may itself be subject to linguistic and cultural inflection. Any stretch of conversation shows that participants rely on a combination of interactional, linguistic, and cultural competencies to bring off even seemingly simple sequences
Conversation Analysis
Anthropology & Ethnography
... ethnographers typically make this a major epistemological point ... They are seeing the “real world” of everyday life, not some version of it created at their urging and for their benefit, and this version, they think, deserves to be treated as having greater truth value than the potentially less accurate versions produced by other methods.
If you do a survey, you know in advance all the information you can acquire. There may be some surprises in the connections between the items you measure, but there will not be any surprise data, things you didn’t ask about but were told anyway. ... In contrast, fieldworkers cannot insulate themselves from data.
Becker, H. S. (1996). The epistemology of qualitative research.
Conversation Analysis
Anthropology & Ethnography
(Neuro-)phenomenology
Froese, T., & Fuchs, T. (2012). The extended body: A case study in the neurophenomenology of social interaction.