# Rupert's talk: evolving a control hierarchy

**URL:** <http://discourse.iapct.org/t/ruperts-talk-evolving-a-control-hierarchy/15861>\
**Category:** Robotics\
**Created:** [October 15, 2021, 2:33pm UTC](http://discourse.iapct.org/t/ruperts-talk-evolving-a-control-hierarchy/15861 "2021-10-15T14:33:15Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![bnhpct](http://discourse.iapct.org/user_avatar/discourse.iapct.org/bnhpct/32/34_2.png) [@bnhpct](http://discourse.iapct.org/u/bnhpct)\
**Post date:** [October 15, 2021, 2:33pm UTC](http://discourse.iapct.org/t/ruperts-talk-evolving-a-control-hierarchy/15861/1 "2021-10-15T14:33:16Z")

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Rupert, your presentation was terrific. Genetic algorithms have been problematic because the resulting system is still a black box. Using genetic algorithms to evolve and optimize a knowable control hierarchy is a brilliant combination of PCT with AI research that has seemed orthogonal to PCT.

Here are excerpts from Michio Kaku’s _The future of humanity_ with suggestions for robotics.

 ![Kaku123](http://discourse.iapct.org/uploads/default/original/2X/0/0144411b31a468652f18a83469598cb3cd411098.jpeg)

 ![Kaku124](http://discourse.iapct.org/uploads/default/original/2X/2/25ce0a79f84bc29fbba787c2e94b69c018411016.jpeg)

 ![Kaku125](http://discourse.iapct.org/uploads/default/original/2X/d/d2f7b0f2265f5896402a77adb0a46396cee07fbf.jpeg)