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Competition and Facilitation During Learning: Temporal and Spatial Contiguity, 2019-2020
Creator
Urcelay, G, University of Nottingham
Study number / PID
856888 (UKDA)
10.5255/UKDA-SN-856888 (DOI)
Data access
Open
Series
Not available
Abstract
Over the last 50 years, cue competition phenomena have shaped theoretical developments in animal and human learning. However, recent failures to obtain the well-known blocking effect in standard conditioning procedures, as well as the lengthy and on-going debate surrounding cue competition in the spatial learning literature, have cast doubts on the generality of competition phenomena. In the present study, we manipulated temporal contiguity between predictors and outcomes (Experiments 1-4), and spatial contiguity between landmarks and goals in spatial learning (Experiments 5-7). Across different parametric variations, we observed overshadowing when temporal and spatial contiguity were strong, but no overshadowing when contiguity was weak. Thus, across temporal and spatial domains, we observed that contiguity is necessary for competition to occur, and that competition between cues during learning is absent when cues were either spatially or temporally discontiguous. Consequently, we advance a model in which the contiguity of cues is accounted for, and which can reconcile the previously contradictory findings observed in spatial and non-spatial domains.In any domain of daily life and cognition, humans solve tasks and make decisions by using information that comes from multiple, different sources. It is quite obvious that we learn from previous experiences. We then use multiple sources of information to guide our behaviour in environments, make decisions about what is beneficial for us, and act in social situations (attributions, imitation). Most times however, not all information in the environment is useful. For example, if we eat fish and chips and later become ill, it is difficult to know which of the two made us ill, and people tend to select one or the other based on quantity. In fact, humans are particularly adept at selecting and learning from those sources which provide information about relevant outcomes. Hence, the idea of competition between different...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/05/2019 - 10/03/2020
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
The data was collected whilst participants participated in the experiments. In each experiment, participants were randomly allocated to a group and they participated in the experiment which was administered through a computer. The task in Exps 1-4 was custom written in C++, whereas the data in Exps 5-7 was collected using MazeSuite, a dedicated software for spatial learning tasks.
Funding information
Grant number
ES/R011494/2
Access
Publisher
UK Data Service
Publication year
2023
Terms of data access
The Data Collection is available from an external repository. Access is available via Related Resources.