Modeling Human Behavior with Large Language Models through Theory of Mind and Artificial Endocrine Systems

Vasili Braga, Dumitru Ciorbă and Irina Cojuhari

Intellectus, 2025, issue 1, 154-168

Abstract: This study explores the application of the Computational Theory of Mind (ToM) in artificial intelligence, using large language models (LLMs) enhanced with cognitive biases, meta-programs, and an artificial endocrine system (AES). These agent-based models simulate complex human behavior and decision-making in a structured philosophical debate, where agents modeled after Socrates, Plato, Aristotle, and Kant displayed distinct reasoning styles influenced by their internal bias architecture, cognitive strategies, and hormone-driven emotional modulation. The simulation demonstrated that integrating ToM elements into LLMs significantly enhances behavioral realism and predictive potential. It also introduced the concept of “artificial psychopathologies” — emergent maladaptive behaviors such as paranoia, depression, or narcissism in AI agents — highlighting both the promise and the peril of psychologically-informed AI. As such, this work contributes not only to the advancement of cognitive AI modeling, but also to a broader ethical discourse. The findings support the potential of ToM-AI systems to revolutionize human-computer interaction, provided they are developed under rigorous epistemic and moral safeguards.

Keywords: large language models; Theory of Mind; cognitive bias; artificial endocrine system; agent simulation; artificial psychopathologies; ethical AI. (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:awf:journl:y:2025:i:1:p:154-168

DOI: 10.56329/1810-7087.25.1.14

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