User:RJHolzworth/sandbox

Hi Jim -- Have fun in your sandbox.

“… while God may not gamble, animals and people do.” ―  Egon Brunswik (1955)

Multiple cue probability learning – An exercise in vicarious functioning Multiple cue probability learning (MCPL) involves using numerous (more or less reliable and valid) indicators (cues) to identify or predict an event or object. Examples include predicting the weather and diagnosing an illness. Since cues are unreliable, people and animals must be flexible in choosing and using them. Furthermore, since cues are not always available (e.g., sunshine, test results), they must be inferred or replaced by others (substituted).

A psychological study of MCPL was first conducted by Brunswik and Herma in 1951. Inspired by Tolman and Brunswik (1935) and Brunswik (1937), Smedslund (1955) conducted the first MCPL study after Brunswik, but it was Hammond and his students in the United States (Hammond, Hursch, & Todd, 1964; Hursch, Hammond, & Hursch, 1964), and Björkman (1965) and his student Brehmer (1972) in Sweden who initiated extensive programs of research using the MCPL paradigm. See Holzworth (2000) for a history of MCPL.

^ Jump up to:a b Brunswik, Egon (1952). “The conceptual framework of psychology”. Vol. 1. University of Chicago Press. pp. IV, 102. ISBN 9780226575858

^ Jump up to:a b Tolman, E., and Brunswik, E. (1935). “The organism and the causal texture of the environment.” Psychological Review, 42, 43-77.