Describes a recursive transition network model that analyzes and represents a story as a causal network of categorized clauses and labeled relations. Reports on two experiments using procedural criteria to identify inferences and the assumptions that inferences operate over distances in the text and are transitive, resulting in a network…

Introduces a multistate probabilistic causal chain notation for describing the knowledge structures implicitly represented by the subjective conditional probability distribution. Proposes a psychological process model of how story comprehension and recall processes operate using causal chain representations. Compares the model's story-recall…

Respectively, three experiments indicate that (1) people can identify all the terminal units in stories as well as different kinds of episodic structure; (2) when attention was focused on the intermediate units, the Goal Path emerged in the judgments; and (3) the same judgments about terminal units were made even when the number of sentences per…

Reviews several theoretical perspectives and presents data pertinent to what makes a story likable. Examines the contribution of two story characteristics to adults' and elementary students' ratings of story liking and storyhood: the importance of the goal the protagonist pursues and the difficulty of attaining that goal. (JAD)