Causal learning from interventions and dynamics in continuous time

Neil Bramley, Ralf Mayrhofer, Tobias Gerstenberg, David A. Lagnado

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 where participants learn causal structure by performing interventions in continuous time. We contrast learning in acyclic and cyclic devices, with reliable and unreliable cause-effect delays. We show that successful learners use interventions to structure and simplify their interactions with the devices and that we can capture judgment patterns with heuristics based on online construction and testing of a single structural hypothesis.
Original languageEnglish
Title of host publicationProceedings of the 39th Annual Meeting of the Cognitive Science Society
PublisherCognitive Science Society
ISBN (Print)9780991196760
Publication statusPublished - 2017
EventCogSci 2017: 39th Annual Meeting of the Cognitive Science Society - Hilton London Metropole, 225 Edgware Rd, London, United Kingdom
Duration: 26 Jul 201729 Jul 2017


ConferenceCogSci 2017
CountryUnited Kingdom
Internet address


  • causal learning
  • intervention
  • time
  • causal cycles
  • structure induction
  • dynamics

Fingerprint Dive into the research topics of 'Causal learning from interventions and dynamics in continuous time'. Together they form a unique fingerprint.

  • CogSci 2017

    Neil Bramley (Presenter)

    26 Jul 201729 Jul 2017

    Activity: Participating in or organising an event typesParticipation in conference

Cite this