The Probing of, Approximation to and Idealization of Structure for Foundations

In summary, the conversation discusses a paper on the foundations of physics, inspired by work done at Perimeter in Waterloo and McGill University. The paper proposes an evolving universe as a Domain map with a Scott topology, and utilizes continuous functors to abstract the concept of a universe evolving continuously over all structures. Attention is given to indefinite causal structure and the use of Set as a consensus protocol. The paper also explores the idea of local semantics, where all knowledge is derived from morphisms in a local lab. The conversation ends with a request for a working link to the paper.
  • #1
bensprott
4
0
"The Probing of, Approximation to and Idealization of Structure" for Foundations

Hey,
Over the past six years I have worked with Lucien Hardy at Perimeter in Waterloo and Prakash Panangaden at McGill. This paper is the culmination of thoughts on physics gleaned from that work.

http://dl.dropbox.com/u/6040582/EvolvingUniverseFeb24.pdf"

or try this link

http://www.freewebs.com/bensprott/EvolvingUniverseFeb24.pdf"

or this

http://www.cs.mcgill.ca/~bsprot1/EvolvingUniverseFeb24.pdf"


Preamble:
After completing the requirements for an MSc in Computer Science at McGill University, I have attempted to formulate a novel view which places certain computational and mathematical concepts into the foundations of phycis. The following paper is deeply inspired by Panangaden, Keyes, Blute, Hardy and Ivanov's work as well as Lawvere's functorial semantics. Specifically, it takes an evolving universe as a Domain map with a Scott topology and further abstracts this to continuous functors so that a universe is evolving continuously over all structures. This is based on a tentative belief in a realist causal structure where the order relation is also seen as composition in a category. Attention is given to indefinite causal structure by looking at the Fischer impossibility result as an indication that, while Set is untenable for speaking about the universe, it is possibly natural for the universe to approximate the category of sets when the rich interplay of signalling systems is seen as a consensus protocol. This is all given a local semantics in that all knowledge is understood as derived from morphisms in a local lab. The morphisms in the history of the universe are mapped to local morphisms by a functor and a domain map.



Ben
 
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  • #2


I cannot open the paper here at work. Do you have another link?
 
  • #3


hey,

thanks for the tip. I gave a new link
 
  • #4
Both of them doesn't work here. Why don't you try to host them here:

http://www.cs.mcgill.ca/~bsprot1/
 
  • #5


MTd2 said:
Both of them doesn't work here.
All the links work for me.
 
  • #6


MTd2 said:
I cannot open the paper here at work. Do you have another link?

Demystifier said:
All the links work for me.

Only certain types of www links may be accessible if one is "here at work" in the office if the company or government agency that one works for restricts web access from office computers. Just guessing.
 
  • #7


Yes, that's true. But the one on his personal website works here. Thank you! :smile:
 

1. What is the purpose of probing, approximating, and idealizing structure for foundations?

The purpose of probing, approximating, and idealizing structure for foundations is to better understand the underlying properties and behavior of the foundation in order to design a stable and durable structure. By using various techniques and models to probe, approximate, and idealize the foundation, scientists and engineers can gain a deeper understanding of how the structure will interact with the surrounding environment and make informed decisions to ensure its stability.

2. What techniques are commonly used for probing, approximating, and idealizing structure for foundations?

There are several techniques commonly used for probing, approximating, and idealizing structure for foundations, including experimental testing, numerical analysis, and theoretical modeling. Experimental testing involves physically testing the foundation and its surrounding soil under controlled conditions to gather data and observe its behavior. Numerical analysis involves using mathematical models and algorithms to simulate the behavior of the foundation and predict its performance. Theoretical modeling involves developing mathematical equations and analytical solutions to understand the fundamental principles governing the behavior of the foundation.

3. How does the process of probing, approximating, and idealizing structure for foundations contribute to the overall design of a structure?

The process of probing, approximating, and idealizing structure for foundations is a crucial step in the overall design of a structure. It helps engineers and scientists to understand the behavior of the foundation and its surrounding soil, which is essential for ensuring the stability and durability of the structure. By gaining a deeper understanding of the foundation, designers can make informed decisions about the type of foundation to use, the materials to use, and the overall design of the structure.

4. What are the potential limitations of probing, approximating, and idealizing structure for foundations?

One of the main limitations of probing, approximating, and idealizing structure for foundations is that it is based on assumptions and simplifications. These assumptions and simplifications may not always accurately represent the real-world behavior of the foundation, leading to potential errors in the design. Additionally, the process can be time-consuming and costly, especially when conducting experimental testing or developing complex mathematical models.

5. How is the data gathered from probing, approximating, and idealizing structure for foundations used in the construction process?

The data gathered from probing, approximating, and idealizing structure for foundations is used to inform the construction process in several ways. It can be used to determine the best location and type of foundation for the structure, the materials to use, and the design of the foundation. The data can also be used to monitor the performance of the foundation during construction and make any necessary adjustments to ensure its stability. Additionally, data from probing, approximating, and idealizing can be used to inform ongoing maintenance and repair strategies for the foundation and the overall structure.

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