Supplementary Files
Keywords
action’s prediction
causal models
teleological schema
How to Cite
Abstract
This study investigated if capacity for predicting actions under uncertainty conditions can be understood like a Bayesian inferential processes. Two experiments were carried out, each one with a different group of basic cycle undergraduate students. In both experiments it was presented a film that showed an agent getting into mace for eating meal. Participants had to predict which of four entrances would use the agent for getting inside of the mace. Results showed a high correlation, significant to a p< 0.01, between predictions of a Bayesian inferential model and the answers of the participants. Findings reveal that capacity for predicting actions involve estimations of posterior probability in accordance with the Bayesian model proposed.
This journal is registered under a Creative Commons Attribution 4.0 International Public License. Thus, this work may be reproduced, distributed, and publicly shared in digital format, as long as the names of the authors and Pontificia Universidad Javeriana are acknowledged. Others are allowed to quote, adapt, transform, auto-archive, republish, and create based on this material, for any purpose (even commercial ones), provided the authorship is duly acknowledged, a link to the original work is provided, and it is specified if changes have been made. Pontificia Universidad Javeriana does not hold the rights of published works and the authors are solely responsible for the contents of their works; they keep the moral, intellectual, privacy, and publicity rights. Approving the intervention of the work (review, copy-editing, translation, layout) and the following outreach, are granted through an use license and not through an assignment of rights. This means the journal and Pontificia Universidad Javeriana cannot be held responsible for any ethical malpractice by the authors. As a consequence of the protection granted by the use license, the journal is not required to publish recantations or modify information already published, unless the errata stems from the editorial management process. Publishing contents in this journal does not generate royalties for contributors.