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Self-Awareness & Control in Decentralized Systems: Insights from Immune & Ant Colonies

Explore self-awareness in immune system's affinity maturation and diffuse feedback, and ant colonies' foraging dynamics and task allocation, drawing parallels in AI system design. Learn how dynamic systems leverage randomness, parallelism, and feedback loops for adaptive behavior.

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Self-Awareness & Control in Decentralized Systems: Insights from Immune & Ant Colonies

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  1. Melanie Mitchell’s “Self-Awareness and Control in Decentralized Systems” Synopsis, As Told By Chris Damm, March 10, 2009

  2. Self-Awareness in the Immune System Concepts of Affinity Maturation and Diffuse Feedback

  3. Immune System Follows “Affinity Maturation” to Identify and Eradicate (Target) Pathogens • Lymphocytes become selective in targeting pathogens • Each searches for particular pathogen shapes and subsequently secretes/binds antibody molecules if a match is found. • Activated lymphocyte returns to node and reproduces (with some mutations). • Approximately One Hundred Million lymphocytes “turn over” per day, thus high P for match to foreign pathogens. Process repeats.

  4. Diffuse Feedback Prevents Excessive Friendly Fire • Process of attacking pathogens also causes harm to self (body tissue). Three types of molecules signal the status: • Harm attributed to pathogens • Successful killing of pathogens • Self-harm caused by immune system (inflammation, etc.)

  5. Self-Awareness in Ant Colonies Foraging and Adaptive Allocation of Resources

  6. Foraging for Pheromones • Individual ants start food search randomly (in different directions). • If encounter food, leave pheremone trail. • If encounter trail, then follow. • If find food, add own pheremone to trail. • Thus, paths with recent food success have stronger scent.

  7. Adaptive Task Allocation • Four task types: • foraging, maintenance, patrol, garbage duty • Ant may switch tasks through interaction with others that perform other duties: • “Handy man” ant encounters many foragers returning with seeds, switches to foraging.

  8. Principles of Self Awareness and Control • Information encoded in statistical distribution or dynamics of the system • Distribution of ants on trails or given tasks • Continually-changing lymphocytes irt viruses • Use of randomness and probabilities • Searches performed in parallel threads • Continual bottom-up and top-down (expectation/bias-driven) interplay

  9. Relevance/Applicability in AI System Design (Implications) • Perception is decentralized, redundant, diverse, and fluid. • Interplay of bottom-up (environmentally driven) approaches and top-down modes • Perceptual process shifts, over time, from highly random, bottom-up to more-focused. • Must have means of self-watching (monitoring own state and progress).

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