Tacit Knowledge Acquisition System

A Tacit Knowledge Acquisition System is an experience-capturing learning-oriented knowledge automation system that can extract implicit knowledge from expert practitioners through observation methods and pattern inference.

• AKA: Implicit Knowledge Capture System, Experiential Learning System, Expert Knowledge Extraction System.
• Context:
  • It can typically observe Expert Behavior Patterns through action tracking and decision recording.
  • It can typically infer Implicit Rules via pattern mining and statistical analysis.
  • It can typically capture Context-Dependent Knowledge using situational mapping and case analysis.
  • It can typically model Intuitive Decision Processes through choice analysis and outcome correlation.
  • It can typically extract Professional Heuristics via interview techniques and protocol analysis.
  • ...
  • It can often struggle with Truly Tacit Knowledge that experts cannot articulate.
  • It can often require Extended Observation Periods for pattern validation.
  • It can often combine Multiple Data Sources including video recordings and sensor data.
  • It can often generate Approximate Models rather than perfect replications.
  • ...
  • It can range from being a Passive Observation System to being an Interactive Learning System, depending on its engagement method.
  • It can range from being a Single-Expert System to being a Multi-Expert System, depending on its knowledge source diversity.
  • It can range from being a Domain-Specific System to being a Cross-Domain System, depending on its application breadth.
  • It can range from being a Rule-Extraction System to being a Behavior-Modeling System, depending on its representation approach.
  • It can range from being a Supervised Learning System to being an Unsupervised Learning System, depending on its training methodology.
  • ...
  • It can complement Codified Knowledge Automation Systems for complete knowledge coverage.
  • It can support Tacit Knowledge Protection Mechanisms through knowledge preservation.
  • It can enable Entry-Level Pipeline Disruption Patterns via experience simulation.
  • It can inform AI Augmentation Productivity Frameworks through expertise modeling.
  • ...
• Examples:
  • Surgical Skill Capture Systems recording expert surgeon techniques.
  • Master Craftsman Knowledge Systems documenting artisan methods.
  • Trading Strategy Extraction Systems modeling trader decision patterns.
  • Diagnostic Reasoning Systems capturing physician intuition.
  • Engineering Problem-Solving Systems extracting design heuristics.
  • ...
• Counter-Examples:
  • Document Processing System, which handles explicit knowledge rather than tacit understanding.
  • Rule-Based System, which uses predefined logic rather than learned patterns.
  • Data Mining System, which finds statistical patterns rather than human expertise.
• See: Knowledge Automation System, Machine Learning System, Expert System, Pattern Recognition System, Behavioral Analysis System, Knowledge Management System, Learning Method.

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