| I tried turning it off and then on again already! |
'Embodied cognition' is cognition which is "deeply dependent upon features of the physical body of an agent, that is, when aspects of the agent's body beyond the brain play a significant causal or physically constitutive role in cognitive processing".
It provides an alternative way of understanding the human mind, to the prevailing cognitive science model. In the cognitive science model, the brain is like a computer, it receives information from its external senses, it processes that information, then it provides a (motor) output. It processes information through computation. Its job could be entirely performed instead by a (very powerful) computer).
I myself find a lot of embodied cognition theory and research compelling and illuminating, it feels closer to real-life to me than some cognitive science. At present, embodied cognition is a minority view, and it's also not a single group or research program, it covers many different groups, with many different (and sometimes conflicting) theories.
It can be tricky to describe, so let's take a look at a couple of examples.
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The outfielder problem
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| I'm not saying I entirely understand this diagram... |
In cricket*, how does an outfielder know where to run, to catch a ball which has been hit high and far by the batsman/batswoman?
'Instinct'. 'Practice'. Yeah sort of, but I mean the deeper explanation. How does the brain work out exactly where to send its body, in time to catch the ball?
Given the ball's starting point, and an estimate of its direction and velocity soon after it was hit, the answer can be calculated, it's basic Newtonian mechanics. Does the brain do this? Does it turn the two-dimensional image which the eyes have sent it into a 3D model, calculate the ball's landing spot, and send the body there? This model has been proposed as an explanation.
But that's apparently not what happens. The way the brain really solves this physics problem is by taking a shortcut, one which reliably works.
It gets a bit complicated, and there's still debate about which shortcut is used in real life. As I understand it, the fielder uses a (presumably unconscious) heuristic, of running so that as they see it, the ball moves in a particular way, within their field of vision. "The fielder watches the flight of the ball; constantly adjusting her position in response to what she sees. If it appears to be accelerating upward, she moves back. If it seems to be accelerating downward, she moves forward."
This trick would be much easier to show someone, with a bat and ball out on a field, than to describe in words. Although the best outfielder in the world hasn't ever been either shown this trick, or had it described to them.
This all captures a central idea in embodied cognition - that just because a real-life problem can be solved by a computer, that doesn't mean that animal or human brains actually do so, like a computer. Computation can be 'offloaded' onto the body and the environment. We didn't start off as a modern computer in a sea cucumber body; the brain and the body evolved concurrently, and interdependently.
*Research actually refers to 'fly balls' in baseball, thanks a lot American cultural imperialism.
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Embodied simulation as a theory of language
Where does language come from? More specifically, what is the mechanism by which the human brain turns infants with no language into fluent speakers? You might think we'd have a clear answer to that by now, but far from it.
When behaviourist theory dominated, in the first half of the 20th century, it tried to explain language acquisition as merely the reinforced association of sound patterns (words) with objects and actions, handed down from one generation to the next, one behavioural training session at a time. Too easy.
Cognitive science, and Noam Chomsky especially, came along in the 1960s and ripped that all to shreds. Chomsky then, and Steven Pinker now, propose an innate, hardwired program for language, which the human brain has evolved - a 'generative grammar'. A really innate program - in the genes. Chomsky talked about 'the poverty of the stimulus', arguing that young kids can't possibly hear enough instances of words and grammar to work out the structure of a human language (the feat can indeed seem miraculous, if you think about it).
But then by this model, what base language does our genes program, which a child then turns into one of the thousands of human languages around? What is the language of thought itself? A 1975 book on the topic by a guy called Jerry Fodor was influential. Pinker later coined the term 'mentalese' for this postulated language of thought.
Some thinkers and researchers today don't believe in this model, however. And for what it's worth, neither do I.
One alternative theory of the neural/cognitive foundation of language is the 'embodied simulation' theory. By this theory, the way all our brains have attached a particular meaning to a word or utterance, is by associating that utterance with a particular sensorimotor experience. A particular sensorimotor experience which we have actually experienced in real life, once or repeatedly.
This theory is closely tied to the 'conceptual metaphor' theory, which argues that most thought (not just language) arises as metaphor; a literal meaning being (largely unconsciously) cognitively recycled for an abstract meaning. The conceptual metaphor that 'anger is fire' is an example - we might consider a remark to be 'inflammatory', without any affectation of poetry. It's argued that these connections to and from conceptual metaphors are so direct that they underlie common fallacies and biases. We might conceptualise linguistic expressions as 'containers for meaning', but that conceptual metaphor might leave us blind to the role which context plays, in determining the meaning of a particular expression in real life.
This can all get very complex and very philosophical, quite quickly. Modern researchers in language embodied simulation have, however, done some pretty cool experiments supporting their claims, which I won't go into here.
To get slightly off topic, I myself suspect that, as is the usually the case in child development, child language acquisition is neither predominantly innate (genes/brain), nor predominantly determined by the environment/body. It's not just some 50-50 split either. It's the product of millions of agent-environment interactions, occurring in real time.
Or, as someone more clever than me has put it (I forget who), the cause of child language acquisition is evenly split between 100% genetic cause and 100% environmental cause.
[The discussion above excludes many other important aspects and frameworks of understanding human language. Those other frameworks, looking at the question from a different angle (such as the social aspect, set out by Jerome Bruner and Michael Tomasello), are of course equally important in explaining language.]
Further reading:
https://plato.stanford.edu/entries/embodied-cognition/
https://scienceblogs.com/cognitivedaily/2010/01/07/how-baseball-and-softball-outf
http://psychsciencenotes.blogspot.com/2011/10/prospective-control-i-outfielder.html
Lakoff G and Johnson M, "Metaphors We Live By" (1980) University of Chicago Press.
Pinker S, "The language instinct: The new science of language and mind" (1995) Penguin.
Bergen BK, "Louder than words: The new science of how the mind makes meaning" (2012) Basic Books.
Heh I hadn't noticed before that Bergen mimicked the title of Pinker's bestseller.
Related papers:
Saxberg BVH, "Projected free fall trajectories" (1987) 56 Biological Cybernetics 159.
McBeath MK et al., "How baseball outfielders determine where to run to catch fly balls" (1995) 268 Science 569.
Fink PW et al., "Catching fly balls in virtual reality: A critical test of the outfielder problem" (2009) 9 Journal of Vision 1.




