Bello, Paul;
Lovett, Andrew;
Briggs, Gordon;
O'Neill, Kevin;
(2018)
An Attention-Driven Computational Model of Human Causal Reasoning.
In:
Proceedings of the 40th Annual Meeting of the Cognitive Science Society.
(pp. pp. 1353-1358).
Cognitive Science Society (CSS): Madison, USA.
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Abstract
Herein we describe CRAMM, a framework for Causal Reasoning via Attention and Mental Models. CRAMM develops and extends assumptions made by a previously developed counterfactual simulation model of human causal judgment. We implement CRAMM computationally and demonstrate how it robustly captures human causal judgments about simple two-object interactions at the level of underlying cognitive and perceptual processes, including data on eye-movements that serve as direct evidence for the role of counterfactuals in causal judgment.
| Type: | Proceedings paper |
|---|---|
| Title: | An Attention-Driven Computational Model of Human Causal Reasoning |
| Event: | CogSci 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://escholarship.org/uc/item/7bw8d284 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | causal cognition; mental models; reasoning; attention; perception; cognitive architecture; computational model |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10197253 |
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