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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Pearce and M. Pearce , M. Bouton Published Psychology, Medicine Annual review of psychology. Theories of associative learning are concerned with the factors that govern association formation when two stimuli are presented together.
In this article we review the relative merits of the currently influential theories of associative learning. Some theories focus on the role of attention in association formation, but differ in the rules they propose for determining whether or not attention is paid to a stimulus. View PDF. Save to Library. Create Alert. Launch Research Feed. Share This Paper. Background Citations. Methods Citations. Results Citations. Tables and Topics from this paper.
Citation Type. Has PDF. Publication Type. More Filters. View 1 excerpt, cites background. Research Feed. Stimulus coding in human associative learning: Flexible representations of parts and wholes. Highly Influenced. View 4 excerpts, cites background. The propositional nature of human associative learning. View 2 excerpts, cites background and results. Cognitive processes in extinction. View 2 excerpts, cites results and background.
Evaluation of ambiguous associations in the amygdala by learning the structure of the environment. Selectivity in associative learning: a cognitive stage framework for blocking and cue competition phenomena. View 2 excerpts, cites background. Perceptual learning and representational learning in humans and animals. Simultaneous activation of the representations of absent cues results in the formation of an excitatory association between them.
View 2 excerpts, references results and background. Highly Influential. View 5 excerpts, references results, background and methods. View 3 excerpts, references background. Configural processes in human associative learning.
View 2 excerpts, references methods. A model for stimulus generalization in Pavlovian conditioning. A model for Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli. Competition among causes but not effects in predictive and diagnostic learning. A model for Pavlovian learning: Variations in the effectiveness of conditioned but not of unconditioned stimuli. Predictive and diagnostic learning within causal models: asymmetries in cue competition.
Pearce's text is of just this quality; any student fortunate enough to read it will be exposed to a lucid, entertaining, and stimulating introduction to what we know about animal learning and cognition. David Lieberman, Department of Psychology, University of Stirling, UK "This new edition of Pearce's text integrates a solid grounding in associative learning theory with an introduction to topics in animal cognition such as memory, spatial behavior, and social cognition. A particularly noteworthy feature is the way in which students are encouraged to think critically but open mindedly about the many intriguing new findings on animal tool using, imitation, theory of mind, and the like. As a basic text that covers the field of animal learning and cognition as it exists in the early 21st century, it has few, if any, competitors. Shettleworth, Department of Psychology, University of Toronto, Canada "The last decade has seen a major revolution in our understanding of animal intelligence, which is elegantly captured in John Pearce's new edition of Animal Cognition: An Introduction. Even better than the last two versions, this textbook provides a clear and comprehensive review of our current knowledge of animal learning and cognition, and in a style that is suitable for all undergraduate levels. I heartily recommend it.
How do animals learn? By what means can animals be conditioned? Associative learning plays a variety of roles in the study of animal cognition from a core theoretical component to a null hypothesis against which the contribution of cognitive processes is assessed.
Fully automated, highly diagnostic behavioral screens for malfunctions in the cognitive mechanisms that enable animals to locate themselves in time and space and remember simple abstract quantities like rates and proportions. Genetic approaches to the neurobiological mechanism of memory. Animal cognition: spatial, temporal and numerical learning and reasoning. Tutorial on Matlab's Statistics Toolbox. This is the core of my Advanced Statistics Course, which emphasizes familiarity with the different distributions and the use of relative likelihood methods.
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Animal Learning and Cognition: An Introduction provides an up-to-date review of the principal findings from more than a century of research into animal intelligence.