🤖 AI Summary
This study addresses the limitations of traditional expertise theories, which predominantly conceptualize expertise as a static accumulation of knowledge or skills and thus fail to account for its dynamic cognitive mechanisms. To overcome this, the work proposes a “workflow cognition” framework that reconceptualizes expertise as an emergent cognitive phenomenon arising from the recursive coupling and continuous co-evolution of thought flows and workflow patterns through sustained practice. Drawing on theoretical modeling and cross-domain case comparisons—spanning craftsmanship, creative production, education, and leadership—the study constructs a dynamic cognitive ontology of expertise, offering the first systematic account of the internal grammar linking tacit cognition, aesthetic judgment, and expert workflows. This framework provides both a theoretical foundation and a computational modeling pathway for representing human expertise in AI-enhanced expert systems.
📝 Abstract
Expertise has long been explained through tacit knowledge, deliberate practice, skill acquisition, and expert performance. While these perspectives have advanced understanding of expertise, they often describe its conditions or outcomes rather than the cognitive architecture through which expertise continuously emerges and evolves. This paper proposes Workflow Cognition as a theoretical framework for explaining expertise as a dynamic cognitive phenomenon. Workflow Cognition is defined as the cognitive architecture emerging from the recursive coupling of Thinking Flow and Workflow Evolution. Thinking Flow refers to ongoing processes of perception, interpretation, judgement, decision-making, and reflection; Workflow Evolution refers to the continuous adaptation of actions, task structures, and operational strategies within situated practice. Through their coupling, expertise is not treated as a static accumulation of knowledge or skill, but as an evolving process generated through cognition-in-practice.
Building on this framework, the paper advances a new ontological definition of expertise: expertise is an emergent manifestation of Workflow Cognition operating across longitudinal professional experience. Knowledge, skills, decisions, aesthetic preferences, and behavioural patterns are therefore interpreted as observable expressions of expertise rather than expertise itself. Drawing on illustrative comparisons across craft, creative production, education, and leadership, the paper introduces a Dynamic Coupling Model of Expertise and establishes a foundation for future work on Longitudinal Tacit Cognition, Longitudinal Aesthetic Cognition, and Expertise Workflow Grammar. The framework contributes a cognitive ontology of expertise and supports future computational representations of human expertise within AI+Expert systems.