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Conservative forgetful scholars: How people learn causal structure through sequences of interventions.

• Neil R Bramley, David A. Lagnado, Maarten Speekenbrink
• Journal of experimental psychology. Learning…
• 2015

Interacting with a system is key to uncovering its causal structure. A computational framework for interventional causal learning has been developed over the last decade, but how real causal learners… (More)

The order of things: Inferring causal structure from temporal patterns

• Neil R Bramley, Tobias Gerstenberg, David A. Lagnado
• CogSci
• 2014

The timing and order in which a set of events occur strongly influences whether people judge them to be causally related. But what do people think particular temporal patterns of events tell them… (More)

Children's use of interventions to learn causal structure.

• Teresa McCormack, Neil R Bramley, Caren A. Frosch, Fiona Patrick, David A. Lagnado
• Journal of experimental child psychology
• 2016

Children between 5 and 8 years of age freely intervened on a three-variable causal system, with their task being to discover whether it was a common cause structure or one of two causal chains. From… (More)

Staying afloat on Neurath's boat - Heuristics for sequential causal learning

• Neil R Bramley, Peter Dayan, David A. Lagnado
• CogSci
• 2015

Causal models are key to flexible and efficient exploitation of the environment. However, learning causal structure is hard, with massive spaces of possible models, hard-to-compute marginals and the… (More)

Natural science: Active learning in dynamic physical microworlds

• Neil R Bramley, Tobias Gerstenberg, Joshua B. Tenenbaum
• CogSci
• 2016

In this paper, we bring together research on active learning and intuitive physics to explore how people learn about “microworlds” with continuous spatiotemporal dynamics. Participants interacted… (More)

Causal learning from interventions and dynamics in continuous time

• Neil R Bramley, Ralf Mayrhofer, Tobias Gerstenberg, David A. Lagnado
• CogSci
• 2017

Event timing and interventions are important and intertwined cues to causal structure, yet they have typically been studied separately. We bring them together for the first time in an experiment… (More)

Beliefs about sparsity affect causal experimentation

• Anna Coenen, Neil R Bramley, Azzurra Ruggeri, Todd M. Gureckis
• CogSci
• 2017

What is the best way of figuring out the structure of a causal system composed of multiple variables? One prominent idea is that learners should manipulate each candidate variable in isolation to… (More)

Mechanisms of Active Causal Learning

• Neil R Bramley, David A. Lagnado, Maarten Speekenbrink
• CogSci
• 2013

• Intervention is key to causal learning (Pearl, 2000). • People benefit from the ability to intervene (Lagnado and Sloman, 2004; Steyvers et al., 2003) but how do people select interventions and… (More)

Time in causal structure learning.

• Neil R Bramley, Tobias Gerstenberg, Ralf Mayrhofer, David A. Lagnado
• Journal of experimental psychology. Learning…
• 2018

A large body of research has explored how the time between two events affects judgments of causal strength between them. In this article, we extend this work in 4 experiments that explore the role of… (More)

Strategic exploration in human adaptive control

• Eric Schulz, Edgar D. Klenske, Neil R Bramley, Maarten Speekenbrink
• CogSci
• 2017

How do people explore in order to gain rewards in uncertain dynamical systems? Within a reinforcement learning paradigm, control normally involves trading off between exploration (i.e. trying out… (More)

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