home / preprints / preprints_ui

preprints_ui: 2pqeh_v13

Denormalized preprint data with contributors and subjects for efficient UI access

Data license: ODbL (database) & original licenses (content) · Data source: Open Science Framework

This data as json, copyable

id title description date_created date_modified date_published original_publication_date publication_doi provider is_published reviews_state version is_latest_version preprint_doi license tags_list tags_data contributors_list contributors_data first_author subjects_list subjects_data download_url has_coi conflict_of_interest_statement has_data_links has_prereg_links prereg_links prereg_link_info last_updated
2pqeh_v13 The Bayesian Situational Construal Model (BSCM): A Cognitive Operating System for Adaptive Human Behaviour This paper introduces the Bayesian Situational Construal Model (BSCM), a unifying psychological framework that models human behaviour as a process of dynamic Bayesian inference. Building on Funder’s Situational Construal Model, the BSCM incorporates principles from Bayesian brain theory and the Free Energy Principle (FEP) to formalise how personality traits (priors) and situational cues (likelihoods) interact to generate subjective construals (posterior beliefs), which in turn guide behaviour. This recursive cycle of interpretation and updating allows individuals to navigate uncertainty and maintain psychological coherence. Originally developed to explain healthcare non-attendance, the BSCM generalises to a wide range of behavioural domains. The model functions as a cognitive operating system, offering a theoretically integrative, neurocognitively grounded, and computationally tractable scaffold for understanding context-sensitive human action. 2025-05-10T11:05:23.461899 2025-05-10T11:06:21.484002 2025-05-10T11:06:04.179533     psyarxiv 1 pending 13 1 https://doi.org/10.31234/osf.io/2pqeh_v13 CC-By Attribution 4.0 International Bayesian inference; Free Energy Principle; adaptive behaviour; cognitive operating system; construal; personality traits; prediction error; psychological theory ["Bayesian inference", "Free Energy Principle", "adaptive behaviour", "cognitive operating system", "construal", "personality traits", "prediction error", "psychological theory"] Dane Halliwell [{"id": "kpaxr", "name": "Dane Halliwell", "index": 0, "orcid": "0009-0006-2329-4998", "bibliographic": true}] Dane Halliwell Neuroscience; Social and Behavioral Sciences [{"id": "5b4e7425c6983001430b6c1b", "text": "Neuroscience"}, {"id": "5b4e7425c6983001430b6c1e", "text": "Social and Behavioral Sciences"}] https://osf.io/download/681f33159c2786f9917a1af8 0   not_applicable not_applicable []   2025-05-11T00:11:37.462897
Powered by Datasette · Queries took 10.756ms · Data license: ODbL (database) & original licenses (content) · Data source: Open Science Framework