Results 1 to 10 of about 155,351 (242)

Inhibitory Learning with Bidirectional Outcomes: Prevention Learning or Causal Learning in the Opposite Direction? [PDF]

Journal of Cognition, 2023
Influential models of causal learning assume that learning about generative and preventive relationships are symmetrical to each other. That is, a preventive cue directly prevents an outcome from occurring (i.e., “direct” prevention) in the same way a ...
Julie Y. L. Chow, Jessica C. Lee, Peter F. Lovibond   +2 more
doaj   +2 more sources

Deep causal learning for robotic intelligence [PDF]

Frontiers in Neurorobotics, 2023
This invited Review discusses causal learning in the context of robotic intelligence. The Review introduces the psychological findings on causal learning in human cognition, as well as the traditional statistical solutions for causal discovery and causal
Yangming Li
doaj   +2 more sources

Causal Learning: Monitoring Business Processes Based on Causal Structures [PDF]

Entropy
Conventional methods for process monitoring often fail to capture the causal relationships that drive outcomes, making hard to distinguish causal anomalies from mere correlations in activity flows.
Fernando Montoya, Hernán Astudillo, Daniela Díaz, Esteban Berríos   +3 more
doaj   +2 more sources

I want to believe: Prior beliefs influence judgments about the effectiveness of both alternative and scientific medicine

Judgment and Decision Making, 2023
Previous research suggests that people may develop stronger causal illusions when the existence of a causal relationship is consistent with their prior beliefs.
Lucía Vicente, Fernando Blanco, Helena Matute   +2 more
doaj   +1 more source

Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization

Entropy, 2023
Learning invariant (causal) features for out-of-distribution (OOD) generalization have attracted extensive attention recently, and among the proposals, invariant risk minimization (IRM) is a notable solution.
Bin Deng, Kui Jia
doaj   +1 more source

Thermodynamic Neural Network

Entropy, 2020
A thermodynamically motivated neural network model is described that self-organizes to transport charge associated with internal and external potentials while in contact with a thermal reservoir.
Todd Hylton
doaj   +1 more source

Bridging the divide between causal illusions in the laboratory and the real world: the effects of outcome density with a variable continuous outcome

Cognitive Research, 2019
Illusory causation refers to a consistent error in human learning in which the learner develops a false belief that two unrelated events are causally associated.
Julie Y. L. Chow, Ben Colagiuri, Evan J. Livesey   +2 more
doaj   +1 more source

Second-Order Conditioning in Humans

Frontiers in Behavioral Neuroscience, 2021
In contrast to the large body of work demonstrating second-order conditioning (SOC) in non-human animals, the evidence for SOC in humans is scant. In this review, I examine the existing literature and suggest theoretical and procedural explanations for ...
Jessica C. Lee
doaj   +1 more source

The importance of discovery in children’s causal learning from interventions

Frontiers in Psychology, 2010
Four-year-olds were more accurate at learning causal structures from their own actions when they were allowed to act first and then observe an experimenter act, as opposed to observing first and then acting on the environment. Children who discovered the
David eSobel, Jessica Sommerville
doaj   +1 more source

Causal Reasoning with Forces

Frontiers in Human Neuroscience, 2015
Causal composition allows people to generate new causal relations by combining existing causal knowledge. We introduce a new computational model of such reasoning, the force theory, which holds that people compose causal relations by simulating the ...
Phillip eWolff, Aron K Barbey
doaj   +1 more source