In the issue Electronic Notes in Theoretical Computer Science Volume 29, 1999, Page 79 there is a very intriguing abstract by Peter Freyd.
Path Integrals, Bayesian Vision, and Is Gaussian Quadrature Really Good? Physicists know how to integrate over all possible paths, computer-vision experts want to assign probabilities to arbitrary scenes, and numerical analysts act as if some continuous functions are more typical than others. In these three disparate cases, a more flexible notion of integration is being invoked than is possible in the traditional foundations for mathematics. If allowed to enter a highly speculative mode, such as the intersection of category theory and computer science, we may bump into some solutions to the problem.
This was a special issue after the conference CTCS '99, Conference on Category Theory and Computer Science. Unfortunately, it seems to me that there is no additional material explaining what Freyd spoke about at the conference.
Q. Do we have any clue about what Freyd spoke about that day?