A response rule for positive and negative stimulus interaction in associative learning and performance

Pineño, Oskar

doi:10.3758/bf03193100

Cited by 16 publications

(34 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to Pineño's (2007) model, in compound extinction situations, two processes occur tbat are in opposition to eacb otber. First, tbe concurrent excitor increases tbe expectation of tbe US, wbicb causes a greater loss in tbe strengtb of tbe X-US association.…”

Section: Results and Discussion 'mentioning

confidence: 99%

“…Second, tbe US representation activated tbrougb tbe X-concurrent excitor-US associative linkage summates at tbe time of testing witb tbe residual direct X-US association, tbereby increasing responding to X. Tbe same processes are engaged wben X is extinguisbed in an excitatory context. Pineño's (2007) model, under most parameters, assumes tbat tbe net effect of a concurrent excitor is to attenuate responding. Tbus, Pineño's (2007) model tends to predict tbe observation tbat extinction is deepened wben X is extinguisbed eitber in tbe presence of a concurrent excitor or in an excitatory context.…”

Section: Results and Discussion 'mentioning

confidence: 99%

See 1 more Smart Citation

Associative status of the training context determines the effectiveness of compound extinction.

Witnauer¹,

Miller²

2012

Journal of Experimental Psychology: Animal Behavior Processes

View full text Add to dashboard Cite

Studies of extinction of a target cue in compound with another excitor have produced evidence of both deepened and attenuated extinction relative to elemental extinction. The present experiments sought to resolve this discrepancy by assessing the effect of the extinction context-unconditioned stimulus (US) association on compound extinction. In an ABC renewal situation with rats, Experiment 1 replicated the observation that enhanced extinction (i.e., reduced conditioned suppression) occurs as a result of nonreinforcement in compound with a concurrent excitor. In Experiment 2, inflation of the extinction context-US association through unsignaled, intertrial US presentations reversed the effect of a concurrent excitor (i.e., extinction with a concurrent excitor was less effective than elemental extinction). Experiment 3 compared compound extinction and second-order conditioning with respect to the effect of context inflation, and produced results incompatible with the view that second-order conditioning contributed to the results of Experiment 2. In Experiment 4, a concurrent excitor enhanced extinction in ABC renewal and attenuated extinction in AAC renewal. The present results suggest that the effect of a concurrent excitor during extinction depends on the strength of the extinction context-US association, thereby confirming predictions of the sometimes -competing retrieval model of associative acquisition and extinction.

show abstract

Section: Results and Discussion 'mentioning

confidence: 99%

Section: Results and Discussion 'mentioning

confidence: 99%

Associative status of the training context determines the effectiveness of compound extinction.

Witnauer¹,

Miller²

2012

Journal of Experimental Psychology: Animal Behavior Processes

View full text Add to dashboard Cite

show abstract

“…For example, the Rescorla-Wagner (1972) model assumes a monotonic mapping of X-US associative strength onto the response potential of X. In contrast, Pineno’s (2007) revision of the Rescorla-Wagner model makes more sophisticated assumptions about the link between learning and performance. Hence, computational comparison of these two models is not apt to be illuminating.…”

Section: Limitationsmentioning

confidence: 99%

“…Thus, contemporary models of associative learning have been revised. For example, revisions of the Rescorla-Wagner model have been developed to explain retrospective revaluation (e.g., Van Hamme & Wasserman, 1994) and second-order conditioning (e.g., Piñeno, 2007). However, these revised models are necessarily more complex than their predecessors and their predictions must be derived using computational (instead of analytical or intuitive) methods.…”

Section: Introduction: Models and Computational Simulationsmentioning

confidence: 99%

Methods of comparing associative models and an application to retrospective revaluation

Witnauer

Hutchings

Miller

2017

Behavioural Processes

View full text Add to dashboard Cite

Contemporary theories of associative learning are increasingly complex, which necessitates the use of computational methods to reveal predictions of these models. We argue that comparisons across multiple models in terms of goodness of fit to empirical data from experiments often reveal more about the actual mechanisms of learning and behavior than do simulations of only a single model. Such comparisons are best made when the values of free parameters are discovered through some optimization procedure based on the specific data being fit (e.g., hill climbing), so that the comparisons hinge on the psychological mechanisms assumed by each model rather than being biased by using parameters that differ in quality across models with respect to the data being fit. Statistics like the Bayesian information criterion facilitate comparisons among models that have different numbers of free parameters. These issues are examined using retrospective revaluation data.

show abstract

“…Pineño (2007), for example, offered a variant on SOCR's (Stout & Miller, 2007) response rule wedded to a competitive learning mechanism, allowing Pineño to account for cue interaction as a postacquisition phenomenon, as Stout and Miller do, or to treat it as arising from competition in acquisition, as most associativelearning models do. Gallistel and Gibbon's (2000) RET model describes a conditioned response as occurring when a signal based on reinforcement intervals exceeds a decision threshold.…”

mentioning

confidence: 99%

The criterion-calibration model of cue interaction in contingency judgments

Hannah

Allan

2011

Learn Behav

View full text Add to dashboard Cite

Siegel, Allan, Hannah, and Crump (2009) demonstrated that cue interaction effects in human contingency judgments reflect processing that occurs after the acquisition of information. This finding is in conflict with a broad class of theories. We present a new postacquisition model, the criterion-calibration model, that describes cue interaction effects as involving shifts in a report criterion. The model accounts for the Siegel et al. data and outperforms the only other postacquisition model of cue interaction, Stout and Miller's (2007) SOCR model. We present new data from an experiment designed to evaluate a prediction of the two models regarding reciprocal cue interaction effects. The new data provide further support for the criterion-calibration model.

show abstract

A response rule for positive and negative stimulus interaction in associative learning and performance

Cited by 16 publications

References 36 publications

Associative status of the training context determines the effectiveness of compound extinction.

Associative status of the training context determines the effectiveness of compound extinction.

Methods of comparing associative models and an application to retrospective revaluation

The criterion-calibration model of cue interaction in contingency judgments

Contact Info

Product

Resources

About