Exploring the Impact of Contextual Input on the Evolution of Word-Meaning

This paper investigates how dierent types of non-verbal input inuence the bootstrapping and evolution of lexicons. This is done by comparing three language game models that dier in the type of input they use. The simulations show that the language games that use either joint attention or corrective feedback as a source of contextual input are better capable of bootstrapping a lexicon than the game without such precise and directed input