Language Emergence for Activities
Abstract
Language development is an important aspect of human cognitive processes. Robotic and
Artificial Intelligent models have been used to simulate language emergence situations.
The aim is to study the process of specification of the universal features of language
and emergence of structures (symantic/syntactic) in human language through a model
known as Language Games. The games consist of short two body interactions which
are classified by game playing agents and utterances are produced. Our first aim is to
develop large number of such interactions and correctly classify them. The second part
consist of language learning and lexicon development through naming games. We see
that our models produce consistent results.
Proposal(pdf)
CS498 Report(pdf)
CS498 presentation pdf ppt
CS499 Report(pdf)
CS499 presentation pdf
Bibtex here
Cohen Maps video here
Breve Python and Java codes for Cohen Maps here
MNG clustering code here
The Language Game code (Java) here
Related links:
Breve Homepage