Embodied Language Learning
From AGIRI.org
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Cassimatis on Language Learning and Physical Learning
Check out
N. L. Cassimatis (2004). Grammatical Processing Using the Mechanisms of Physical Inferences. In Proceedings of the Twentieth-Sixth Annual Conference of the Cognitive Science Society.
available at
http://www.cassimatis.com/polyscheme.html
As the author describes it, the paper gives
A model of syntactic parsing model based almost entirely on the mechanisms in the physical reasoning model, making the case for the cognitive substrate principle.
The author Nick Cassimatis, who is specifically oriented toward creating human-level intelligence, has articulated an explanation of infant-level physical learning in terms of his logic-based AI framework, PolyScheme (in which multiple reasoning algorithms interact using a common predicate-logic language) then shown how the same mechanisms and representations used for infant physical learning can be used for language learning
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Goertzel on Embodied and Statistical Language Learning
An argument for a hybrid approach involving embodiment plus more traditional computational linguistics is in the paper
Goertzel, Ben. A Pragmatic Path Toward Endowing Virtually-Embodied AIs with Human-Level Linguistic Capability - IEEE World Congress on Computational Intelligence (WCCI) Hong Kong, 2008
at

