Literature DB >> 31307281

How competitive is cue competition?

Julian Packheiser1, Roland Pusch1, Clara C Stein1, Onur Güntürkün1, Harald Lachnit2, Metin Uengoer2.   

Abstract

Cue competition refers to phenomena indicating that learning about the relationship between a cue and an outcome is influenced by learning about the predictive significance of other cues that are concurrently present. In two autoshaping experiments with pigeons, we investigated the strength of competition among cues for predictive value. In each experiment, animals received an overexpectation training (A+, D+ followed by AD+). In addition, the training schedule of each experiment comprised two control conditions-one condition to evaluate the presence of overexpectation (B+ followed by BY+) and a second one to assess the strength of competition among cues (C+ followed by CZ-). Training trials were followed by a test with individual stimuli (A, B, C). Experiment 1 revealed no evidence for cue competition as responding during the test mirrored the individual cue-outcome contingencies. The test results from Experiment 2, which included an outcome additivity training, showed cue competition in form of an overexpectation effect as responding was weaker for Stimulus A than Stimulus B. However, the test results from Experiment 2 also revealed that responding to Stimulus A was stronger than to Stimulus C, which indicates that competition among cues was not as strong as predicted by some influential theories of associative learning.

Keywords:  Pigeons; autoshaping; cue competition; overexpectation

Mesh:

Year:  2019        PMID: 31307281     DOI: 10.1177/1747021819866967

Source DB:  PubMed          Journal:  Q J Exp Psychol (Hove)        ISSN: 1747-0218            Impact factor:   2.143


  2 in total

1.  Agency rescues competition for credit assignment among predictive cues from adverse learning conditions.

Authors:  Mihwa Kang; Ingrid Reverte; Stephen Volz; Keith Kaufman; Salvatore Fevola; Anna Matarazzo; Fahd H Alhazmi; Inmaculada Marquez; Mihaela D Iordanova; Guillem R Esber
Journal:  Sci Rep       Date:  2021-08-10       Impact factor: 4.996

2.  Emergence of complex dynamics of choice due to repeated exposures to extinction learning.

Authors:  José R Donoso; Julian Packheiser; Roland Pusch; Zhiyin Lederer; Thomas Walther; Metin Uengoer; Harald Lachnit; Onur Güntürkün; Sen Cheng
Journal:  Anim Cogn       Date:  2021-05-12       Impact factor: 3.084

  2 in total

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