I just finished The Information: A History, a Theory, a Flood (2011), by historian author James Gleick. This past summer I read his book, Time Travel (2016), which was about time travel in fiction and in our hearts. [see Passing Time (My bad; it should have been titled Gleick: Time Travel, but I can never resist a pun.)]
If you read my post about the time travel book, you know I didn’t care for it, although I place the blame on my expectations, not the book. I do find Gleick, as I said then, “ambling, rambling, and meandering,” but I’m sure many greatly enjoy his excursions. I ended that review mentioning I’d like to read another book of his (a trend takes two data points).
The Information is that book, and I did like it more than Time Travel.
On the one hand, a main theme here is theories of consciousness. On the other hand, it’s been almost eight years blogging, and I’ve covered my views pretty well in numerous posts and comment threads. Our understanding of consciousness currently seems stuck pending new discoveries, either in answering hard questions, or in providing entirely new paths.
A while back I determined to step away from debates (even blogs) that center on topics with no resolution. Religion is a big one, but theories of mind is another. Your view depends on your axioms. Unless (or until) science provides objective answers, everyone is just guessing.
But it’s been three-and-a-half years, and, well,… I have some notes…
Over the last few weeks I’ve written a series of posts leading up to the idea of human consciousness in a machine. In particular, I focused on the difference between a physical model and a software model, and especially on the requirements of the software model.
The series is over, I have nothing particularly new to add, but I’d like to try to summarize my points and provide an index to the posts in this series. It seems I may have given readers a bit of information overload — too much information to process.
Hopefully I can achieve better clarity and brevity here!
The previous post, Halt! (or not), described the Turing Halting Problem, a fundamental limit on what computers can do, on what can be calculated by a program. Kurt Gödel showed that a very similar limit exists for any (sufficiently powerful) mathematical system.
This raises some obvious questions: What is calculation, exactly? What do we mean when we talk about a program or algorithm? (And how does all of this connect with the world of mathematics?)
Today we’re going to start exploring that.