IMPROVING THE COGNITIVE CLARITY OF GRAPH MODELS OF KNOWLEDGE REPRESENTATION AND DECISION-MAKING USING VISUALIZATION
Abstract and keywords
Abstract (English):
The article discusses the ways to improve the cognitive clarity of graph models for knowledge representation and decision making by applying visualization capabilities. Using fuzzy cognitive models as an example, it is shown that applying an approach based on visualization metaphors allows one to structure and partially formalize the task of increasing the cognitive clarity of models, breaking it down into separate easily interpreted stages, each of which contributes to providing cognitive clarity in general. The conclusion is made about the relevance of developing visualization metaphors to increase the cognitive clarity of graph models of other types.

Keywords:
knowledge representation, decision making, graph models, cognitive clarity, visualization metaphor, cognitive maps
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