An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling
- URL: http://arxiv.org/abs/2609.05552v1
- Date: Thu, 03 Sep 2026 11:01:02 GMT
- Title: An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling
- Abstract summary: Industrial environments increasingly rely on collaboration between humans and AI-enabled agents.<n>This paper presents a conceptual cognitive agent model that formalises cognitive coupling through eight components.
- Score: 0.9566312408744931
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- 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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