Scott Aaronson, complexity theory researcher, disputes Tononi's theory of consciousness, that a physical system is conscious if and only if it has a high value of "integrated information". Quote:
So, this is the post that I promised to Max [Tegmark] and all the others, about why I don’t believe IIT. And yes, it will contain that quantitative calculation [of the integrated information of a system that he claims is not conscious].
...
But let me end on a positive note. In my opinion, the fact that Integrated Information Theory is wrong—demonstrably wrong, for reasons that go to its core—puts it in something like the top 2% of all mathematical theories of consciousness ever proposed. Almost all competing theories of consciousness, it seems to me, have been so vague, fluffy, and malleable that they can only aspire to wrongness.
http://www.scottaaronson.com/blog/?p=1799
Here is my summary of his post and some related thoughts.
Scott instrumentalizes Chalmers' vague Hard problem of consciousness:
into something concrete and measurable, which he dubs the Pretty-Hard Problem of Consciousness:
and shows that Tononi's IIT fails to solve the latter. He does it by constructing a counterexample which has arbitrarily high integrated information (more than a human brain) while doing nothing anyone would call conscious. He also notes that building a theory of consciousness around information integration is not a promising approach in general:
Scott is very good at instrumentalizing vague ideas (what lukeprog calls hacking away at the edges). He did the same for the notion of "free will" in his paper The Ghost in the Quantum Turing Machine. His previous blog entry was about "The NEW Ten Most Annoying Questions in Quantum Computing", which are some of the "edges" to hack at when thinking about the "deep" and "hard" problems of Quantum Computing. This approach has been very successful in the past:
after 8 years of work.
I hope that there are people at MIRI who are similarly good at instrumentalizing big ideas into interesting yet solvable questions.