Literature DB >> 22178714

Transitive inference in pigeons: measuring the associative values of Stimuli B and D.

Olga F Lazareva1, Edward A Wasserman.   

Abstract

Several reinforcement-based models have been proposed to explain transitive-like behavior in nonverbal transitive inference tasks. These models assume that the initial training required for memorizing the premises produces an ordered series of associative values (A>B>C>D>E); these values can then be used to select the "transitively correct" stimulus in a novel pair (e.g., BD). Our study experimentally tested this assumption by using resistance-to-extinction and resistance-to-reinforcement techniques to obtain empirical measures of associative strength for Stimuli B and D. We first measured the associative strengths of these stimuli after completion of initial training with overlapping pairs of colored squares (A+B-, B+C-, C+D-, and D+E-) using resistance-to-extinction and resistance-to-reinforcement procedures. Next, we used massed presentations of Pair D+E- (termed bias reversal) that ought to increase the associative value of Stimulus D, and again measured the associative strengths of the stimuli. None of our experimental measures of associative strength correlated with pigeons' behavior in the BD test or with BD performance predicted by associative models either before or after bias reversal (Wynne, 1995; Siemann and Delius, 1998). These results question validity of reinforcement-based models for explaining animals' behavior in nonverbal TI tasks. Copyright Â
© 2012 Elsevier B.V. All rights reserved.

Mesh:

Year:  2011        PMID: 22178714     DOI: 10.1016/j.beproc.2011.12.001

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  15 in total

1.  Six-term transitive inference with pigeons: successive-pair training followed by mixed-pair training.

Authors:  Carter W Daniels; Jennifer R Laude; Thomas R Zentall
Journal:  J Exp Anal Behav       Date:  2013-12-07       Impact factor: 2.468

2.  Effects of spatial training on transitive inference performance in humans and rhesus monkeys.

Authors:  Regina Paxton Gazes; Olga F Lazareva; Clara N Bergene; Robert R Hampton
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2014-07-28       Impact factor: 2.478

3.  Cognitive mechanisms for transitive inference performance in rhesus monkeys: measuring the influence of associative strength and inferred order.

Authors:  Regina Paxton Gazes; Nicholas W Chee; Robert R Hampton
Journal:  J Exp Psychol Anim Behav Process       Date:  2012-10

4.  Cognitive abilities on transitive inference using a novel touchscreen technology for mice.

Authors:  J L Silverman; P T Gastrell; M N Karras; M Solomon; J N Crawley
Journal:  Cereb Cortex       Date:  2013-11-28       Impact factor: 5.357

5.  Associative models fail to characterize transitive inference performance in rhesus monkeys (Macaca mulatta).

Authors:  Olga F Lazareva; Regina Paxton Gazes; Zachary Elkins; Robert Hampton
Journal:  Learn Behav       Date:  2020-03       Impact factor: 1.986

6.  Absolute and relative knowledge of ordinal position on implied lists.

Authors:  Tina Kao; Greg Jensen; Charlotte Michaelcheck; Vincent P Ferrera; Herbert S Terrace
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2019-11-21       Impact factor: 3.051

7.  Inferential Learning of Serial Order of Perceptual Categories by Rhesus Monkeys (Macaca mulatta).

Authors:  Natalie Tanner; Greg Jensen; Vincent P Ferrera; Herbert S Terrace
Journal:  J Neurosci       Date:  2017-05-25       Impact factor: 6.167

8.  Influence of Rule- and Reward-based Strategies on Inferences of Serial Order by Monkeys.

Authors:  Allain-Thibeault Ferhat; Greg Jensen; Herbert S Terrace; Vincent P Ferrera
Journal:  J Cogn Neurosci       Date:  2022-03-05       Impact factor: 3.225

9.  Transitive inference in humans (Homo sapiens) and rhesus macaques (Macaca mulatta) after massed training of the last two list items.

Authors:  Greg Jensen; Yelda Alkan; Fabian Muñoz; Vincent P Ferrera; Herbert S Terrace
Journal:  J Comp Psychol       Date:  2017-03-23       Impact factor: 2.231

10.  Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model.

Authors:  Greg Jensen; Fabian Muñoz; Yelda Alkan; Vincent P Ferrera; Herbert S Terrace
Journal:  PLoS Comput Biol       Date:  2015-09-25       Impact factor: 4.475

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