Embodied Cognitive Science Unit (Tom Froese)
In this unit we pursue the implications of embodied cognitive science from the mind’s most basic expressions in adaptive behavior to its most complex manifestations in abstract thinking. Our interdisciplinary research is framed by a general interest in better understanding the major transitions from minimal cognition to human cognition, and our guiding insight is that changes in environmental mediation, especially sociocultural and technological mediation, have the potential to transform and potentiate the mind.
We employ a diversity of methods that are drawn from the intersection of computer science and complex systems theory: agent-based modeling, artificial neural networks, evolutionary robotics, time series analysis, virtual reality, sensory substitution interfaces, and human-computer interaction.
Listen to the October 2019 OIST Podcast “Embodied cognitive science with Professor Tom Froese”What is the mind? Traditionally, cognitive science has approached this question in terms of the hypothesis of a physical symbol system: the mind/brain is a computer, and cognition is computation. More recent approaches to cognitive science have questioned the adequacy of this hypothesis and have begun to advance alternative frameworks that substantially broaden the basis of the mind, leading to the rise of embodied, embedded, extended, and enactive (4E) cognition. These approaches develop in different ways a shared core commitment to the claim that agent-environment interaction is a foundational part of cognition, rather than just a secondary product of cognition. Together these approaches are broadly known as embodied cognitive science.
In the paper we consider the reduction in brain size associated with the transition from the Paleolithic to Neolithic. Is it indicative of less cognition? Using agent modeling, we show how it could actually be indicative of socially extended cognition.
On Monday, May 24, Fernando Rosas gave an online seminar to the Embodied Cognitive Science Unit entitled Towards a quantitative understanding of high-order interdependencies in complex systems. An extremely relevant topic given the unit's projects!
The article Emergent Interaction: Complexity, Dynamics, and Enaction in HCI, authored by Dan Bennett, Alan Dix, Parisa Eslambolchilar, Feng Feng, Tom Froese, Vassilis Kostakos, Sébastien Lerique, and Niels van Berkel was published as part of CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems.