If Demis Hassabis, the current leader of Google's DeepMind AI subsidiary, was able several years ago to create an artificially intelligent program that could learn to play each of many different video games much better than human players -- just from feedback from from playing each such game -- his program obviously had to be able to model the causal inference inherent in whatever videogame it was learning. So obviously there already has been a lot of success in AI's being able to do a good job at automatically learning causal inference.
On Thu, Sep 13, 2018 at 3:45 PM Nanograte Knowledge Technologies via AGI < [email protected]> wrote: > Most interesting. Thanks for sharing. From the little I understand about > this large, body of work, this makes sense to me. However, I would contend > that by adopting - what is called by some - a network structure (closing > loops in a 3-entity structure) would lead to confusing results. > > For example, one cannot reliably infer a vertex from that, which may then > skew the rest of the structural results. . I think it's a classical > "copout" in systems design; when in doubt, then to close the loop to open > the associative option i.e., A=> B and C and B => C. Result: A indirectly > causing C, but it was already inferred that A directly caused C. Did it, or > didn't it? > > This would present as a self-made paradox, not so? > > > ------------------------------ > *From:* Robert Levy via AGI <[email protected]> > *Sent:* Thursday, 13 September 2018 10:08 PM > *To:* AGI > *Subject:* [agi] Judea Pearl on AGI > > I don't think I've seen a discussion on this mailing list yet about > Pearl's hypothesis that causal inference is the key to AGI. His > breakthroughs on causation have been in use for almost 2 decades. The new > Book of Why, other than being the most accessible presentation of these > ideas to a broader audience, is interesting in that it expressly goes into > applying causal calculus to AGI. > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + delivery > options <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/T0f9fecad94e3ce7e-M4e059f68d10346e680f74b75> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T0f9fecad94e3ce7e-Mf8d761b549558b23eeb9b432 Delivery options: https://agi.topicbox.com/groups/agi/subscription
