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Social super-organisms appear everywhere in nature, from the communities of cells that comprise the body, to pack animals and insect colonies. These biological entities can be described as closely interacting networks of communicating biological objects. Life on earth has repeatedly discovered this paradigm (Interacting Objects) in its exploration of evolutionarily stable strategies. We suggest that these structures are optimized for information processing, as exemplified by the networks of interacting neurones in the brain. Distributed information processing across the network facilitates the emergence of radically new behaviour at the 'higher', system-level, allowing the rapid development of new, stable behaviours. These networks of Interacting Objects, if stable enough, can form the nodes of yet higher level networks, forming a layered stack. At the top of this stack, which can be extended back to sub-atomic particles, is human society. Unique in nature, humans can engineer their interaction networks on time scales faster than 'classical' evolution-by-genetic-mutation. Thus, we have the opportunity to design modes of communication that maximize information processing, and hence maximise human productivity.
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2. Overview
3. Social super-organisms 4.
5. Example from metagenomics of the human intestinal microbiome:
6. Representation as BiO 7. 8. 9. 10. Information processing 11. 12. 13. Information Processing
14. Clip (swarming bats.mpg) 15. Stable networks of interactions form the nodes of higher level networks 16. 17. 18. 19. 20. Basic 'Cybernetics'
21. Example
22. Human interaction networks can be designed 23. Clip (swarming fish.mpg) http://www.youtube.com/watch?v=cIgHEhziUxU 24.
25. Open Human
26. 27. Conclusion
28. Conclusion
29. Thanks Thank you for interacting! Thanks to every node in the giant network of interactions that forms the information processing architecture of the universe! Thanks toDon Stockbauerfor many discussions about the GB, and for providing the examples. 30. 31. a) memory b) processes A system for information processing must have: 32.