It's bounced around between publishers over the years and is generally a pain to get. I have the 1996 edition[1] which is out of print. Then there's a 2002 edition[2] and a 2000 edition[3].
[1] https://www.amazon.com/Feynman-Lectures-Computation-Richard-...
[2] https://www.amazon.com/Feynman-Computation-Frontiers-Physics...
[3] https://www.amazon.com/Feynman-Lectures-Computation-Frontier...
https://www.amazon.com/Feynman-Lectures-Computation-Frontier...
https://homotopytypetheory.org/book/
Back in the day there was Feynman's Lectures on Computation. Hint: pdf can be found by searching
https://www.amazon.com/Feynman-Lectures-Computation-Richard-...
See also nLab
https://ncatlab.org/nlab/show/higher+category+theory
one should never forget Jacob Lurie's "Higher Topos Theory" which is 1000 pages just like that
http://www.math.harvard.edu/~lurie/papers/croppedtopoi.pdf
Actually I recommend against readin it as it only covers 2 of the 4 topics you discuss (Topology and Logic). However it certainly has applications to the other two.
https://www.amazon.com/Feynman-Lectures-Computation-Richard-...
Feynman worked on this subject working on the Connection Machine supecomputer. [2][3]
[1] http://www.amazon.com/Feynman-Lectures-Computation-Richard-P...
[2] https://en.wikipedia.org/wiki/Connection_Machine
[3] http://longnow.org/essays/richard-feynman-connection-machine...
So I gave up and continued reading. Then somewhere in the 4th or 5th Chapter he says something like: Oh I hope you had fun with the Firing Squad Problem, I still work on it from time to time and hope to come up with a solution myself one day.
Facepalm.
Edit: Here is a link to the book, its enjoyable for experts and laymen alike. http://www.amazon.com/Feynman-Lectures-On-Computation-Richar...
https://www.amazon.com/Feynman-Lectures-Computation-Frontier...
Feynman is not as expert on the topic as he is on his core research, but his gift for great explanation carries over and makes the material more accessible. The lectures are ground in thermodynamics and the related information theories, and there's a very accessible lecture in there too about Maxwell's Daemon. Most of the material is very foundational and still correct, so it's a good read for anyone who is interested in the area. I'm glad I read it before I had to deal with more complicated and statistical approaches to computation and entropy.