Summary information

Study title

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...
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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.

Related publications

Not available