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Organismic computing : ウィキペディア英語版
Organismic computing
Organismic Computing is a form of engineered human computation that employs technology to enable "shared sensing, collective reasoning, and coordinated action"〔Michelucci, P. (2013). Organismic Computing. In P. Michelucci (Ed.), Handbook of Human Computation (pp. 475–501). Springer New York. Retrieved from http://link.springer.com/chapter/10.1007/978-1-4614-8806-4_36〕 within human groups toward goal-directed behavior. This biomimetic approach to augmenting group efficacy seeks to improve synergy by allowing a group of individuals to function as a single intelligent superorganism.
== Rationale ==
For many tasks, increasing the size of a group leads to diminishing returns. That is, each new person contributes less to overall group performance. This suggests that the Benefit-cost ratio associated with adding a new person decreases as the group gets larger. The organismic approach to augmenting group efficacy seeks to leverage the quadratic growth in the number of possible relationships among group members, as described by Metcalfe's Law. By increasing the number of relationships realized and by sufficiently increasing the utility of those relationship, each new group member would add more value to the group than previous members.

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