An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling

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.

Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)

arXiv:2609.05552 [cs.HC]

(or arXiv:2609.05552v1 [cs.HC] for this version)

https://doi.org/10.48550/arXiv.2609.05552 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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