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It is the purpose of this paper to discuss the ‘Lens Mode’ approach to the analysis of subject performance in multiple-cue judgment tasks embedded in probabilistic environments. Various characteristics of the linear lens model are presented in matrix notation and are formulated without reference to standardized variables in order to facilitate analysis and subsequent generalization. Some new results on ‘matching’ behavior are presented. A brief outline of current problems and related work is presented.
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Stored only when both papers are in the corpus — 41 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.