In[]:=
{ResourceFunction["MultiwayFunctionSystem"][n{2n,n+1},0,7,"StatesGraph",ImageSize{Automatic,350}],ResourceFunction["MultiwayFunctionSystem"][n{2n,n+1},0,10,"StatesGraphStructure",GraphLayout"LayeredDigraphEmbedding",ImageSize{Automatic,350}]}
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,
In[]:=
ResourceFunction["MultiwayFunctionSystem"][n{2n,n+1},0,4,"EvolutionEventsGraph",GraphLayout->"LayeredDigraphEmbedding","IncludeEventInstances"->True]
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In[]:=
ResourceFunction["MultiwayFunctionSystem"][n{2n,n+1},1,4,"EvolutionEventsGraph",GraphLayout->"LayeredDigraphEmbedding","IncludeEventInstances"->True]
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In[]:=
ResourceFunction["MultiwayFunctionSystem"][n{2n,n+1},1,5,"EvolutionEventsGraph",GraphLayout->"LayeredDigraphEmbedding","IncludeEventInstances"->True]
Out[]=
In[]:=
ResourceFunction["MultiwayFunctionSystem"][n{2n,n+1},0,4,"EvolutionEventsGraph",GraphLayout->"LayeredDigraphEmbedding"]
Out[]=
Single-Integer Tokens (“monatomic tokens”)
Single-Integer Tokens (“monatomic tokens”)
With a single integer for every state, which is also every token, which is also every atom
Diatomic Tokens
Diatomic Tokens
States = tokens, but tokens = (2 atoms)
E.g. apply an integer affine transformation to 2-vector
In an integer system, the “atom names” are integers, which “mean something”
In an integer system, the “atom names” are integers, which “mean something”
With a tupling (pairing) function, this multi-atom-token system is just like the single-atom token system
With a tupling (pairing) function, this multi-atom-token system is just like the single-atom token system
This is a system that maps a single token to multiple tokens
This is a system that maps a single token to multiple tokens
22 token case
22 token case
Levels of interpretation:
atoms ; tokens ; states ; transversals ; [higher categories]
Levels of interpretation:
atoms ; tokens ; states ; transversals ; [higher categories]
atoms ; tokens ; states ; transversals ; [higher categories]
[ atoms + tokens ~ syntax ; above is semantics ]
SW partial code
SW partial code
This is a single history.... because Overlaps->False
22 on finite alphabet
22 on finite alphabet
We want all cases of this with each of the atoms being from 0 to k-1:
Either a given {a,b} can have a mapping, or it can an “ϵ move”
Represent each pair by FromDigits[Sort[pair], k] ; i.e. numbers from 0 to k^2-1
These are the bijections:
All mappings:
[With a finite set, one can explicit enumerate all possible tokens]
[With a finite set, one can explicit enumerate all possible tokens]
Kneser graphs: mutually exclusive
Kneser graphs: mutually exclusive
Does the TEG ring bells in all possible permutations?
Does the TEG ring bells in all possible permutations?
What is the relationship between events? [Basically an “event graph”]
What is the relationship between events? [Basically an “event graph”]
In the following, the edges could be labeled by events:
The “event-knitting graph” [i.e. how possible events are connected by tokens]
The “event-knitting graph” [i.e. how possible events are connected by tokens]
Token-event graph is either a bipartite ordinary graph with explicit nodes for events ... or is a hypergraph with “bipartite hyperedges”
Token-event graph is either a bipartite ordinary graph with explicit nodes for events ... or is a hypergraph with “bipartite hyperedges”
In general, there are many possible data structures which could be the hyperedges in a hypergraph
Wolfram Model: list
unordered hypergraph: set
unordered hypergraph: set
Expressions as hyperedges: atoms (AKA symbols, integers, etc.) are atoms
[with attributes like Orderless as needed]
[with attributes like Orderless as needed]
Token-event hypergraph:
Token-event hypergraph:
hyperedge: set set
(I.e. it is a rewrite (i.e. event) from [unordered] multisets of tokens to multisets of tokens)
(I.e. it is a rewrite (i.e. event) from [unordered] multisets of tokens to multisets of tokens)
<Can these multisets of tokens actually be ordered?>
Event sets are like the factored instances of the laws of physics (“theoretical-possibility sets”)
Event sets are like the factored instances of the laws of physics (“theoretical-possibility sets”)
cf mapping defined on all of a space, but it might be that much of that space can never be reached
[cf fiber bundle without a global section]
[cf fiber bundle without a global section]
Event set is like a group; actual evolution is like a groupoid
Event set is like a group; actual evolution is like a groupoid
Rules vs. rule schemas
Rules vs. rule schemas
Explicit rules for a finite set of atoms are “rules”
Pattern rules are like rule schemas
Pattern rules are like rule schemas
“Concrete rule” / “Explicit rule” / “Verbatim rule” / ((“Instantiated rule”)) [ rule in which certain specifically named tokens occur ]
Verbatim rule yields a verbatim rewrite AKA verbatim event
Consider a case with a finite number of possible tokens, and a finite number of possible (concrete) events
Consider a case with a finite number of possible tokens, and a finite number of possible (concrete) events
Crucial assumption: a token (in multihistory) can be consumed any number of times
Crucial assumption: a token (in multihistory) can be consumed any number of times
< Ultimate deduplication: ignore what the universe actually does; just consider its rules >
< Ultimate deduplication: ignore what the universe actually does; just consider its rules >
Partial deduplication ... in a collection of slices
Partial deduplication ... in a collection of slices
Fibonacci
Fibonacci
How do you coordinatize the possible total orders?