Fetch Framework

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Research & References ​

Published Research ​

DOI ​

10.5281/zenodo.17114972

Cormorant Foraging Framework research publication.

Bibliography ​

Control Theory ​

  • Åström & Murray, Feedback Systems (2008)

Decision-Making ​

  • Boyd, J. Patterns of Conflict (1986) - OODA Loop
  • Kahneman, D. Thinking, Fast and Slow (2011) - System 1/2

Systems Theory ​

  • Wiener, N. Cybernetics (1948)
  • Argyris, C. On Organizational Learning (1999)

Machine Learning ​

  • Sutton & Barto, Reinforcement Learning: An Introduction (2018)

Quality Management ​

  • Deming, W.E. Out of the Crisis (1986) - PDCA Cycle

Biomimicry ​

  • Benyus, J.M. Biomimicry: Innovation Inspired by Nature (1997)

Academic Foundation ​

The Fetch Framework builds on established theories in:

  • Control engineering (PID controllers)
  • Cybernetics (feedback loops)
  • Reinforcement learning (value functions)
  • Cognitive psychology (dual-process theory)
  • Systems thinking (OODA loop)

See: Cross-Reference to Established Fields

Open Questions ​

Research areas for exploration:

  1. Quantifying semantic richness - Can we measure a website's "automation-friendliness"?
  2. Optimal threshold tuning - How do Fetch thresholds vary by domain?
  3. Multi-agent Fetch - How do multiple agents coordinate using Fetch?
  4. Fetch in continuous spaces - Extending from discrete actions to continuous control
  5. Learning Fetch parameters - Can dimension weights be learned from data?

Contact ​

For research collaboration or questions:

More research documentation coming soon.