Description
Scientists studying ecological and embodied cognition try to use algorithms as little as they can. Instead, they favor dynamical systems, typically represented as a set of equations that share variables in a way that is somewhat looplike: component A changes, which changes component B, which changes component A, and so on. Peculiarities of behavior can be explained as such systems reaching stable states. This episode describes two sets of equations that predict surprising properties of what seems to be intelligent behavior.
Source:
Anthony Chemero, Radical Embodied Cognitive Science, 2011Either mentioned or came this close to being mentioned
James Clerk Maxwell, "On Governors", 1868 (PDF)
Andy Clark, Being There: Putting Brain, Body, and World Together Again, 1997
Stanford Encyclopedia of Philosophy, "Embodied Cognition", 2020
Stanford Encyclopedia of Philosophy, "The Computational Theory of Mind", 2021
Wikipedia, "Dynamical Systems Theory"
Nick Bostrom, "Letter from Utopia", 2008/20
Credits
The image is from Maxwell's "On Governors", showing the sort of equations "EEs" work with instead of code.
In this episode, I ask the question: what would a software design style inspired by ecological and embodied cognition be like? I sketch some tentative ideas. I plan to explore this further at nh.oddly-influenced.dev, a blog that will document an app I'm beginning to write.
In my implementation,...
Published 12/31/23
In the '80s, David Chapman and Phil Agre were doing work within AI that was very compatible with the ecological and embodied cognition approach I've been describing. They produced a program, Pengi, that played a video game well enough (given the technology of the time) even though it had nothing...
Published 12/04/23