ReviewFrontiers in human neuroscience2014
Causal reasoning with mental models.
Review in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Article
- Causal Inference Meets Deep Learning: A Comprehensive Survey.Research (Washington, D.C.) · 2024Review
- The Mental Models Training App: Enhancing verbal reasoning through a cognitive training mobile application.Frontiers in psychology · 2023Article
- What would have happened? Counterfactuals, hypotheticals and causal judgements.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Episodic representation: A mental models account.Frontiers in psychology · 2022Article
- Overview of Mental Models research using bibliometric indicators.Cognitive processing · 2020Review
- Mental models and omissive causation.Memory & cognition · 2018Article
- Biofunctional Understanding and Conceptual Control: Searching for Systematic Consensus in Systemic Cohesion.Frontiers in psychology · 2017Article
- Systems Medicine-Complexity Within, Simplicity Without.Journal of healthcare informatics research · 2017Article
- Causal reasoning with forces.Frontiers in human neuroscience · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper outlines the model-based theory of causal reasoning. It postulates that the core meanings of causal assertions are deterministic and refer to temporally-ordered sets of possibilities: A causes B to occur means that given A, B occurs, whereas A enables B to occur means that given A, it is possible for B to occur. The paper shows how mental models represent such assertions, and how these models underlie deductive, inductive, and abductive reasoning yielding explanations. It reviews evidence both to corroborate the theory and to account for phenomena sometimes taken to be incompatible with it. Finally, it reviews neuroscience evidence indicating that mental models for causal inference are implemented within lateral prefrontal cortex.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.