This paper describes a framework for studies of the adaptive acquisition and evolution of language, with the following components: language learning begins by associating words with cognitively salient representations ("grounding"); the sentences of each language are determined by properties of lexical items, and so only these need to be transmitted by learning; the learnable languages allow multiple agreements, multiple crossing agreements, and reduplication, as mildly context sensitive and human languages do; infinitely many different languages are learnable; many of the learnable languages include infinitely many sentences; in each language, inferential processes can be defined over succinct representations of the derivations themselves; the languages can be extended by innovative responses to communicative demands. Preliminary analytic results and a robotic implementation are described.
CITATION STYLE
Stabler, E. P., Collier, T. C., Kobele, G. M., Lee, Y., Lin, Y., Riggle, J., … Taylor, C. E. (2003). The learning and emergence of mildly context sensitive languages. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2801, pp. 525–534). Springer Verlag. https://doi.org/10.1007/978-3-540-39432-7_56
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