Causal learning and inference as a rational process: The new synthesis
KJ Holyoak, PW Cheng - Annual review of psychology, 2011 - annualreviews.org
Over the past decade, an active line of research within the field of human causal learning
and inference has converged on a general representational framework: causal models …
and inference has converged on a general representational framework: causal models …
The propositional nature of human associative learning
The past 50 years have seen an accumulation of evidence suggesting that associative
learning depends on high-level cognitive processes that give rise to propositional …
learning depends on high-level cognitive processes that give rise to propositional …
Bayesian generic priors for causal learning.
The article presents a Bayesian model of causal learning that incorporates generic priors--
systematic assumptions about abstract properties of a system of cause-effect relations. The …
systematic assumptions about abstract properties of a system of cause-effect relations. The …
Learning the form of causal relationships using hierarchical Bayesian models
People learn quickly when reasoning about causal relationships, making inferences from
limited data and avoiding spurious inferences. Efficient learning depends on abstract …
limited data and avoiding spurious inferences. Efficient learning depends on abstract …
Bayesian analogy with relational transformations.
How can humans acquire relational representations that enable analogical inference and
other forms of high-level reasoning? Using comparative relations as a model domain, we …
other forms of high-level reasoning? Using comparative relations as a model domain, we …
Link-based learning theory creates more problems than it solves
In this response, we provide further clarification of the propositional approach to human
associative learning. We explain why the empirical evidence favors the propositional …
associative learning. We explain why the empirical evidence favors the propositional …
Operating principles versus operating conditions in the distinction between associative and propositional processes
Drawing on our Associative-Propositional Evaluation (APE) Model, we argue for the
usefulness of distinguishing between basic operating principles of learning processes …
usefulness of distinguishing between basic operating principles of learning processes …
[HTML][HTML] Excessive teleological thinking is driven by aberrant associations and not by failure of reasoning
Teleological thought—the tendency to ascribe purpose to objects and events—is useful in
some cases (encouraging explanation-seeking), but harmful in others (fueling delusions and …
some cases (encouraging explanation-seeking), but harmful in others (fueling delusions and …
A Bayesian theory of sequential causal learning and abstract transfer
Two key research issues in the field of causal learning are how people acquire causal
knowledge when observing data that are presented sequentially, and the level of abstraction …
knowledge when observing data that are presented sequentially, and the level of abstraction …
Predictive feedback, early sensory representations, and fast responses to predicted stimuli depend on NMDA receptors
Learned associations between stimuli allow us to model the world and make predictions,
crucial for efficient behavior (eg, hearing a siren, we expect to see an ambulance and …
crucial for efficient behavior (eg, hearing a siren, we expect to see an ambulance and …