An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling
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.
| Authors | Kolitha Kottagaha W. M, Jos A. C. Bokhorst, Ben Gaffinet et al. |
|---|---|
| Primary category | cs.HC |
| Published | 3 September 2026 |
| Last updated at source | 3 September 2026 |
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