metaghastcar

So if you had a car that ran on meta, how far would it go?

Object Oriented Artificial Life Programming

So what if we had object oriented programming that was a little more like real life. Instead of having a reference to an object, say to contact an object to send it a message, you had to do a search through a space (ambient authority?). Even if you have the address of an object, a different object may pick up the message, possibly to pick it up and deliver it through delegation or aspect oriented programming.

Here are the fundamentals:

1. Objects can create new objects.
2. Every object has a voice/signing ability that is adjustable to send messages to other objects
3. Every object can feel/taste/hear/see/smell its environment and other objects
4 . Objects can ingest objects to protect them or destroy them.
5. Objects can move other objects around.
6. Messages may or may not make it to an object.
7. Messages may be recorded for playback.
...

Structures

The bit is a 1 dimensional object (in time) everything else in information technology is a collection

Discrete Structures (information based)
Set (0D, non-ordered, singleton values--since it is 0 dimensional, it doesn't really exist)
Array (list, 1D, implicit indexing, singleton values)
Array (map, 2D, explicit indexing, name-value pairs)
Array (graph, nD, implicit indexing, value tuples)
Table (nD, fixed size rows and columns), CSV, TSV
Table (tree/outline/hierarchy/taxonomy, nD, variable size rows and columns) XML, HDF, Lisp
Hypertext (multiple taxonomies, ontology)
Image (3D, fixed size depth, rows and columns), JPEG, TIFF, PNG
Movie (4D, bounded depth, rows and columns, time), MPEG
HyperMovie (4D, unbounded depth, interactive)
MMOG (5D, each user sees a different movie)

Continuous Structures, Equations (geometry/calculus based)
Now - 0D object (transient)
Points - Continuous 1D object (in time)
Lines - Continuous 2D object
Curves - Continuous 3D object
Plane - Continuous 3D object
Surface - Continuous 4D object
Mathematical Space - Continuous nD object
Volume - Continuous nD object
Hypervolume - Self-referential volume, Klein bottle, Escher's "The Gallery", Continuous Hierarchy (self-reference at a massive scale)

Hybrid Structures (physics based--motion described by geometry/calculus, measurement described by information)
Fractals
Fuzzy Systems
Mass
Time
Space
Turbulence/Flow
Molecules
Photons

Statistical Parsing

So I just discovered statistical parsing. It looks a lot like continuous hierarchy.
You would assign a probability to each ordering of a set. You would assign a probability to each membership of a set, and you would assign a probability or uncertainty to the value of any element.

Subjective Uncertainty in Code

So how do we apply subjectivity and uncertainty to code? Here's how: You are uncertain which method you are going to call. You are uncertain as to the order of the parameters to the method. Inside the method, you are uncertain as to which statements are in the body of the code. And you are uncertain as to the ordering of the statements. You are also uncertain of the number of objects and ordering that will be returned from a function.

If you were programming in Lisp, you wouldn't be sure of the ordering or content of the s-expressions in your program.

Turing Machines and Fuzzy Systems

So Turing Machines are based on symbols. But what if no two symbols are exactly alike, especially in time? Does it matter? Can a Turing machine recognize a symbol which is not exactly like what it's expecting? This is the whole problem with Turing machines, that they are based on symbols which are exact.

Oscillating or Fuzzy or Uncertain Time

So if we are unsure of things in space, perhaps we can have uncertainty in time as well. Perhaps I can say it's 9pm + or - 7 minutes. Since we have time zones, we don't really know what the real exact time is, we are generally within one hour of the actual time. That provides a lot of leeway.