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February 24, 2026Open Access

Non-Linear Computational Modeling of Emotional-Like States in Artificial Agents

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Authors

CBCôme Bruneteau

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Overview

Computational modeling generates emotional dynamics in artificial agents, suggesting foundations for ethical autonomy.

Key Points

  • The aim is to create a computational framework for modeling emotional dynamics in artificial agents without symbolic encoding.
  • Developed a unified computational framework for non-linear emotional dynamics.
  • Utilized continuous transfer functions like hyperbolic tangent and sigmoid for modeling.
  • Introduced a Softmax-based mechanism for resource allocation and emotional saturation.
  • Incorporated stochastic modulation with 1/f noise to ensure uniqueness in emotional trajectories.
  • The model generates distinct psychological profiles such as Extremely Sociable and Very Stressed.
  • Successfully reproduces biological properties like hysteresis and resilience.
  • Defines high-intensity affective states through cognitive integration.

Cite This Study

Côme Bruneteau (2025) studied this question.

synapsesocial.com/papers/699d4028de8e28729cf6549ehttps://doi.org/10.5281/zenodo.18734894
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