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Geoffrey P Goodwin

Publications and source records attributed to Geoffrey P Goodwin.

2 recordsLinked to original sources

Reasoning about the relations between relations.

Relations can hold between relations, as in assertions such as: Cordelia loves Lear more than Goneril does. Naïve reasoners can make inferences that depend on these higher order relations, which are vital for science and mathematics, but no existing theory explains such inferences. The present paper presents a theory based on mental models of the situations under description, and it reports four experiments corroborating the theory. Experiment 1a showed that the difficulty of such inferences from two premises depends on the integration of the information from the premises into a single model. The same result held in Experiment 1b, even when individuals were not permitted to make written workings. Experiment 2 required the participants to think aloud, and their protocols revealed that they developed three main strategies. Experiment 3 biased the development of these strategies, showing that individuals assemble them "bottom up" from various tactical steps.

Adult↗

Reasoning about relations.

Inferences about spatial, temporal, and other relations are ubiquitous. This article presents a novel model-based theory of such reasoning. The theory depends on 5 principles. (a) The structure of mental models is iconic as far as possible. (b) The logical consequences of relations emerge from models constructed from the meanings of the relations and from knowledge. (c) Individuals tend to construct only a single, typical model. (d) They spontaneously develop their own strategies for relational reasoning. (e) Regardless of strategy, the difficulty of an inference depends on the process of integration of the information from separate premises, the number of entities that have to be integrated to form a model, and the depth of the relation. The article describes computer implementations of the theory and presents experimental results corroborating its main principle.

Algorithms↗