Abstract
A goal-based analysis of human personality traits is presented with the objective of developing a comprehensive simulation model. It is shown that understanding trait attributions is an integral part of story comprehension and therefore much of natural language processing. The model of personality traits is derived from the goal trees in the POLITICS system, the notion of social prototypes, and planning/counterplanning strategies. It is argued that the goal-expectation setting, created from an analysis of personality traits attributed to actors in a story, establishes a best-first evaluation criterion that makes more tractable the search problem inherent in story understanding.
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