Contingency and Its Two Indices Within Conditional Probability Analysis

作者: John S. Watson

DOI: 10.1007/BF03392770

关键词: Conditional dependenceArtificial intelligencePosterior probabilityConditional probability distributionEconometricsConditional probabilityConditional mutual informationConditional varianceRegular conditional probabilityLaw of total probabilityComputer scienceClinical psychologySocial psychology (sociology)

摘要: Four theoretical bases for detecting a contingency between behavior and consequent stimuli are considered: contiguity, correlation, conditional probability, logical implication. It is argued that probability analysis statistically the most powerful of these options, in part due to its provision two indices contingency: forward time reinforcement follows backward precedes reinforcement. Evidence cited both appear bear on learning variety animals, although they unequally salient human adults artificial neural networks designed solve time-series functions. hypothesized humans may acquire capacity detect progressive sequence: ultimately

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