An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling

📅 2026-09-03
📈 Citations: 0
Influential: 0
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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.
Problem

Research questions and friction points this paper is trying to address.

Human-AI Teaming
Cognitive Coupling
Collaboration
Innovation

Methods, ideas, or system contributions that make the work stand out.

Cognitive Coupling
Agent Model Abstraction
Human-AI Teaming
Distributed Cognition
Cognitive Interoperability
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