WOLFRAM NOTEBOOK

Neural nets as a continuum coordinatization of rulial space

What is curvature?

Neural net operator commutation
In[]:=
NetInitialize[LinearLayer[]]
NetInitialize
:Cannot initialize net: parameter "OutputDimensions" is not fully specified.

Analog of energy-momentum

Perhaps training data

Microfluidics as an alternative continuum limit

Continuous cellular automata as continuum limit

In[]:=
NestList[Function[s,FractionalPart[3/2Total[RotateLeft[s,#]&/@{-1,0,1}]]],CenterArray[{1},10],10]
Out[]=
In[]:=
Function[s,RotateLeft[s,#]&/@{-1,0,1}]@0,0,0,
1
2
,
1
2
,
1
2
,0,0,0,0
Out[]=
0,0,0,0,
1
2
,
1
2
,
1
2
,0,0,0,0,0,0,
1
2
,
1
2
,
1
2
,0,0,0,0,0,0,
1
2
,
1
2
,
1
2
,0,0,0,0,0
In[]:=
Total[%]
Out[]=
0,0,
1
2
,1,
3
2
,1,
1
2
,0,0,0
In[]:=
ArrayPlot[NestList[Function[s,FractionalPart[3/2Total[RotateLeft[s,#]&/@{-1,0,1}]]],CenterArray[{1},100],50]]
Out[]=
In[]:=
ArrayPlot[NestList[Function[s,FractionalPart[.6Total[RotateLeft[s,#]&/@{-1,0,1}]]],CenterArray[{1},100],50]]
Out[]=
In[]:=
ArrayPlot[NestList[Function[s,FractionalPart[1.5/3Total[RotateLeft[s,#]&/@{-1,0,1}]]],CenterArray[{1},200],200]]
Out[]=
In[]:=
Graph[#->CellularAutomaton[30][#]&/@Tuples[{1,0},3]]
Out[]=
In[]:=
Graph[#->CellularAutomaton[30][#]&/@Tuples[{1,0},6]]
Out[]=

Multiway Systems Based on Numbers

In[]:=
NestList[Union[Flatten[{#+1,2#}]]&,{0},5]
Out[]=
{{0},{0,1},{0,1,2},{0,1,2,3,4},{0,1,2,3,4,5,6,8},{0,1,2,3,4,5,6,7,8,9,10,12,16}}
NestList[Union[Flatten[{a1#+b1,a2#b2}]]&,{0},5]
Related to Bernat’s trees ; tree convergence is related to causal invariance

Fully continuous multiway systems

PDE is continuous states and time, but 11 functions
Another case is continuous states [and time], but 1k functions
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