Psychological and Educational Research Studies
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Abstract
Abstract
Human intrinsic curiosity evolved under constraints of time, effort, and risk. Understanding how it is regulated, and harnessing it for well-being and for adaptive agentic artificial intelligence (AI), requires considering the environments in which uncertainty-resolving inquiry evolved and now occurs, including interactions among people and artificial agents. Digital technologies now make obtaining answers to many questions feel easy and nearly costless, changing how we experience uncertainty and our motivation to resolve it. In this article, I discuss how human--technology interactions might reshape curiosity preferences employing constructs from neuroscience, reinforcement learning, and economics. I argue that this approach can help us obtain principles for designing adaptive inquiry in human groups and agentic AIs.
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@article{Monosov2026Ecology,
title = {Ecology of curiosity framework for adaptive and maladaptive human–AI ecosystems},
author = {Ilya E. Monosov},
year = {2026},
doi = {10.31234/osf.io/w2cbs_v1},
url = {https://doi.org/10.31234/osf.io/w2cbs_v1}
}FAQ
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