SOURCE-LINKED INTELLIGENCE
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 fo
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T11:01:02.000Z
First collected: 2026-09-21T04:51:57.792Z. This is not the publication date.