Language is the only way for us to communicate with robots. It can be programming language, language of commands or ordinary speech. To achieve adaptable autonomous functioning of a robot while understanding commands within different contexts is strongly desirable. We suggest a biomimetic approach to the problem of context understanding evoking the model of animal behaviour within a social environment, where context plays crucial role. We propose a quasi-semantic model for a context which allows to take into the account words values as well as word frequency.
|Title of host publication||Proceedings of AISB'06: Adaptation in Artificial and Biological Systems|
|Number of pages||5|
|Publication status||Published - 2006|
Bogatyreva, O., & McMahon, C. (2006). Adaptable language understanding: Can robots understand context bypass grammar rules? In Proceedings of AISB'06: Adaptation in Artificial and Biological Systems (Vol. 2, pp. 107-111)