Behavioral Outcomes of Human Cognitive Security within an Integrative Modeling Framework
Authors: Aaron R. Allred, Erin E. Richardson, Sarah R. Bostrom et al.
Published: 2026-03-02
arXiv: 2603.01355
Source: arXiv (cs.CY)
Abstract
Human decision-making under uncertainty faces growing challenges from information-based threats. There remains no well-defined construct for characterizing the degree to which information-based threats influence changes in human judgments and decision-making. Here, we introduce a human cognitive security construct focused on linking information-based threats to observable outcomes, bridging field-level definitions with operational measures. We develop an integrative modeling framework that unifies Bayesian inference with affect-modulated decision valuation, capturing how cognitive resource allocation and affective valuation shape three core behavioral outcomes: veracity discernment, task-oriented actions, and information sharing. Through computational simulations, we demonstrate that this framework explains the illusory truth effect (R²=0.86, validated against empirical data) and incongruent veracity discernment and sharing behavior. We propose empirically grounded behavioral outcome measures of cognitive security to guide future empirical examinations.
Why This Work Matters
The paper addresses a foundational measurement gap: there is no accepted operational definition of “cognitive security” as a behavioral construct, which means there is no agreed method for measuring whether counter-Cognitive Warfare interventions actually work. The three-outcome framework makes cognitive security empirically tractable.
The R²=0.86 fit on the illusory truth effect is the headline validation: the model explains 86% of variance in an empirically documented CogWar-relevant phenomenon (repeated exposure to false claims increases belief in them) using a principled Bayesian-affective framework.
For OSINT and intelligence analysis: the “incongruent discernment and sharing” finding is immediately operational — individuals can simultaneously assess a claim as likely false AND share it (due to affective valuation or social signaling incentives). This explains observed social media behavior where users share content they don’t fully believe, and it has direct implications for modeling how IO-seeded content propagates even when many recipients are skeptical.
Core Concepts and Contributions
Cognitive security construct: Defined in terms of observable behavioral outcomes rather than internal states. Three outcomes: (1) veracity discernment (accurate truth/falsity assessment), (2) task-oriented action (behavior change from information), (3) information sharing (propagation). Each is independently tractable for measurement.
Integrative model: Bayesian inference (rational updating under evidence) + affect-modulated decision valuation (emotional state as a weight on rational assessment). The model captures why purely rational or purely affective models each fail to explain observed human behavior under information pressure — the interaction is the mechanism.
Illusory truth effect explanation: The model generates the effect as an emergent property of Bayesian updating with decaying source-tracking — repeated exposure updates the prior without proportionally updating source awareness, resulting in rising confidence in frequently-encountered claims regardless of truth value. This provides a mechanism, not just a description.
Behavioral outcome measures: Specific measurement instruments for each of the three outcomes, enabling empirical testing of Prebunking, Cognitive Resilience training, and other counter-CogWar interventions with common metrics.
Connections
- Cognitive Warfare — the threat context
- Cognitive Resilience — provides measurement instruments for this construct
- Prebunking — counter-intervention whose effectiveness this framework enables testing
- Verification Cost Asymmetry — Luberisse (2025) — structural complement: where this paper models why humans fail to verify, VCA proposes how to engineer reduced verification load
- Cognitive Warfare: Definition, Framework — Rushing, Hersch & Xu (2026) — definitional framework for the threat environment this paper models
- Cognitive Warfare Reading List