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arXiv · 2609.05552

An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling

Kolitha Kottagaha W. M·Jos A. C. Bokhorst·Ben Gaffinet·Christos Emmanouilidis
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Abstract

Industrial environments increasingly rely on collaboration between humans and AI-enabled agents. Effective teamwork requires aligning how agents perceive situations, plan actions to pursue goals, and adapt to changing conditions, yet existing systems lack mechanisms for cross-agent cognitive processes coupling. This paper presents a conceptual cognitive agent model that formalises cognitive coupling through eight components: Input, Process, Output, State, Value, Memory, World Model, and Goal. The model abstracts how agents coordinate and co-regulate their cognitive cycles, providing a basis for analysing distributed cognition and designing cognitively interoperable human-AI systems.

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Kolitha Kottagaha W. M, Jos A. C. Bokhorst, Ben Gaffinet, Christos Emmanouilidis. 2026-09-03. An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling. https://arxiv.org/abs/2609.05552

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