Logical model of the physical world

  • Thread starter Thread starter miksu
  • Start date Start date
  • Tags Tags
    Model Physical
Click For Summary

Discussion Overview

The discussion centers around the feasibility of creating a machine-readable logical model of the physical world, focusing on defining common rules and actions in a way that mimics human common sense. Participants explore the implications of such a model for simulations and the challenges associated with its scope and utility.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant proposes a model that defines physical properties and actions, using an example of a cake to illustrate how objects might behave under certain conditions.
  • Another participant questions the scale and practical use of such a model, noting that simulations are often limited by computing power and tend to be highly specific.
  • A different participant shares their experience with a similar modeling project, highlighting the difficulties in limiting scope and the potential for subjective choices in defining actions, which could undermine the model's utility.
  • One participant references the work of Rudolf von Bitter Rucker, suggesting that semantic arguments can be drawn from everyday objects to understand complex mathematical constructs.
  • A later reply expresses concern that the task may be impossible or at least monumental, mentioning existing knowledge base projects like Cyc and ConceptNet, which attempt to model actions but are perceived as too random for practical simulation use.

Areas of Agreement / Disagreement

Participants express varying degrees of skepticism regarding the feasibility and utility of a comprehensive logical model of the physical world. There is no consensus on whether such a model could be effectively implemented or if it would provide advantages over existing approaches.

Contextual Notes

Participants note the challenges of defining standards for modeling actions and the potential for subjective interpretations to complicate the project. The discussion also highlights the limitations of existing knowledge bases in providing usable frameworks for simulations.

miksu
Messages
2
Reaction score
0
Hi,
are there any attempts to make a machine readable definition of most common rules and actions (or a causal model) of physical world? I'm looking more a logical level of modelling, at the same level that human common sense works.

I have some experience on semantic tecnologies and ontologies, and they usually define classes and individuals with properties, for example machine readable version of Wikipedia. What I'm looking for, is a set of descriptions of what physical properties these instances can have and how to manipulate them.

Let's make an artificial example of cake. So we have a class https://en.wikipedia.org/wiki/Cake. We would then add some physical properties to is, such as size and weight (range of) and a the fact that it permanently deforms on impact (dropping it will mash it, unlike dropping a ball).
Then we can have other data, independent of the cake, such as defined action "drop object" which causes an object to change location in free fall until it hits some other object and deforms, or bounces, depending of the defined properties. With this we can then run a simulation what happens to an instance of cake if it is dropped.

So with this model it would be possible to infer what happens to objects on physical events on some logical, common sense level.
 
Technology news on Phys.org
It isn't clear to me what the scale/scope and use would be for what you are asking. But...

Simulations tend to be highly specific and limited in scope due to the computing power needed to run them. So they tend to be tailor-made or copied and modified from previous simulations.
 
  • Like
Likes   Reactions: FactChecker
I understand the appeal. I was once teased by the chance to make an object model of the whole electric power industry. Technical, finance, admin, social, political, including every job description. It was tremendously appealing to an analyst But it was shot down because:
  1. There is no way to limit the scope. It could be a forever project. And the bigger the model, the more cumbersome it becomes.
  2. In your example, the method "drop" might apply to many objects, but other programmers might choose "shock loading", or "shear" as their preference. Wrong choice of method could poison the whole project. We have no standards to clearly separate right from wrong.
  3. There is no objective evidence that such a model would be useful compared to existing software models and even common sense.
I believe those are the biggest reasons that most simulations tend to be highly specific as @russ_watters said.
 
  • Like
Likes   Reactions: russ_watters
Your "cake" model reminds me of a series of lectures and books by my combinatorics / computer science teacher Rudolf von Bitter Rucker. The wikipedia entry is incomplete and since this is a science thread we should only source his mathematics texts, but Prof Rucker develops fine semantic and CS arguments based on terms such as 'cake', 'rake' and, with a nod to Charles Dodgson, 'teapot' as reality descriptors; i.e., symbols.

'Teapot symbology' helped me understand topological constructs like Klein bottles and 'cake rake membranes' algebraic constructs in n-dimensions such as Calabi-Yau manifolds.
 
Thank you for the replies. I was afraid this would impossible task, or huge atleast. There are few bigger knowledge base projects such as Cyc and ConceptNet which try to model actions too, for example http://conceptnet.io/c/en/cake. But they are too random to be usable for any simulation.
 

Similar threads

  • · Replies 23 ·
Replies
23
Views
4K
Replies
10
Views
5K
  • · Replies 25 ·
Replies
25
Views
6K
  • · Replies 64 ·
3
Replies
64
Views
3K
  • · Replies 42 ·
2
Replies
42
Views
8K
  • · Replies 27 ·
Replies
27
Views
2K
  • · Replies 26 ·
Replies
26
Views
6K
Replies
1
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 40 ·
2
Replies
40
Views
3K