Why Philosophers Should Care About Computational Complexity

(By Scott Aaronson)

Book Cover Watermark PDF Icon
Download PDF Read Ebook

Note: If you encounter any issues while opening the Download PDF button, please utilize the online read button to access the complete book page.

×


Size 21 MB (21,080 KB)
Format PDF
Downloaded 584 times
Status Available
Last checked 8 Hour ago!
Author Scott Aaronson

“Book Descriptions: One might think that, once we know something is computable, how efficiently it can be computed is a practical question with little further philosophical importance. In this essay, I offer a detailed case that one would be wrong. In particular, I argue that computational complexity theory—the field that studies the resources (such as time, space, and randomness) needed to solve computational problems—leads to new perspectives on the nature of mathematical knowledge, the strong AI debate, computationalism, the problem of logical omniscience, Hume’s problem of induction and Goodman’s grue riddle, the foundations of quantum mechanics, economic rationality, closed timelike curves, and several other topics of philosophical interest. I end by discussing aspects of complexity theory itself that could benefit from philosophical analysis.”