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.
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