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The Human Brain in the Age of Uncertainty: Adaptive Neurocognitive Mechanisms and Human Behavior in the Contemporary Environment

Thiago Campos Silva
Aug 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

This final project examines how adaptive neurocognitive mechanisms related to threat detection, uncertainty processing, anticipation, reward learning, social comparison, belonging, metacognition, and behavioral regulation interact with characteristics of contemporary environments. The study adopts a theoretical and integrative literature review approach and proposes the Adaptive Mechanism–Environmental Amplification Model (AMEA), a hypothesis-generating conceptual framework describing how repeated environmental signals may increase the frequency, persistence, or regulatory importance of otherwise adaptive neurocognitive mechanisms. Rather than assuming that contemporary technologies or environments are intrinsically harmful, the model emphasizes the interaction among environmental architecture, perceived relevance, learning and reinforcement, individual differences, perceived control, metacognitive capacity, and behavioral flexibility. The study discusses potential pathways involving threat amplification, uncertainty-driven information seeking, reward-based checking, social comparison, external validation, belief reinforcement, and decision-making under uncertainty, while explicitly considering alternative explanations, limitations, and conditions under which the proposed model could be empirically challenged. Keywords: Neuroscience; Human Behavior; Uncertainty; Stress; Reward; Social Comparison; Belonging; Metacognition; Decision-Making; Behavioral Regulation; Digital Environments; AMEA.

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