Towards a Model for Extraction of Possible Worlds and Accessibility Relation from Cognitive Agent's Experience

In this paper a problem of finding possible worlds based on agent's partial knowledge gathered from environment observations is defined. Paper marks a direction of research into the ways in which data mining techniques can be used to extract possible worlds and accessibility relation within minds of cognitive agents. The problem is considered in the context of robotics. Problem also connects to recent research trend of merging data mining to agents. Introductory and informal solution is proposed.

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