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Proof-Theoretic Cellular Automata as Logic of Unconventional Computing

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Abstract

Conventional logic assumes that all basic logical processes (deduction, valuation) are sequential. Almost all modern logical systems are conventional in this meaning. However, everywhere in the nature we can observe massively parallel processes that might be simulated by cellular automata. In unconventional computing there have been proposed different computational models in which massive parallelism is taken into account. Nevertheless, the question what the logic of unconventional computing is should be considered as open still. In this chapter proof-theoretic automata are proposed, where all basic logical processes (deduction, valuation) are regarded as massive-parallel ones. In these automata cell states are examined as well-formed formulas of a logical language. As a result, in deduction we can obtain not only derivation trees, but also a linear evolution of each singular premise. Thereby some derivation traces may be circular, i.e. some premises could be derivable from themselves, and hence some derivation traces may be infinite.
Proof-Theoretic Cellular Automata as Logic of Unconventionl
Computing
Andrew Schumann
UniversityofInformationTechnologyandManagementinRzeszow,Poland.Email:
Andrew.Schumann@gmail.com
Abstract
Conventionallogicassumesthatallbasiclogicalprocesses(deduction,valuation)aresequential.Almostallmodern
logicalsystemsareconventionalinthismeaning.However,everywhereinthenaturewecanobservemassively
parallelprocessesthatmightbesimulatedbycellularautomata.Inunconventionalcomputingtherehavebeen
proposeddifferentcomputationalmodelsinwhichmassiveparallelismistakenintoaccount.Nevertheless,the
questionwhatthelogicofunconventionalcomputingisshouldbeconsideredasopenstill.Inthischapterproof
theoreticautomataareproposed,whereallbasiclogicalprocesses(deduction,valuation)areregardedasmassive
parallelones.Intheseautomatacellstatesareexaminedaswellformedformulasofalogicallanguage.Asaresult,in
deductionwecanobtainnotonlyderivationtrees,butalsoalinearevolutionofeachsingularpremise.Therebysome
derivationtracesmaybecircular,i.e.somepremisescouldbederivablefromthemselves,andhencesomederivation
tracesmaybeinfinite.
1. Introduction
TheBiblebeginswiththeverse:“InthebeginningGodcreatedtheheavenandtheearth[ץראה תאו םימשה תאםיהלא ארב
תישארב].”Judaichermeneuticsemphasizesthatinthepassagetheword‘et’isusedthatmeansnotonlyanaccusative
case,butalsoaconnectionwhichhasasimilarmeaningastheword‘with.’Thus,accordingtoJudaichermeneutics
‘theheaven’(‘ethashamaim’)shouldbeunderstoodastheskyincludingeverythingthatisrelatedtothegiven
notion,i.e.anythingthatisoutoftheearth:theSun,planets,stars,comets,galaxies,atomsofhydrogen,oxygenetc.,
and‘theearth’(‘ethaarets’)astheearthandeverythingthattakesplaceontheearth:mountains,rivers,seas,oceans
andsoon.Inotherwords,accordingtoJudaictraditiontheworldhasnotarisenfromasingularpointbymeansof
deploymentofanysequentialprocesses.Theworldhasbeencreatedatonceasthemassiveparallel.
Whileitisdifficulttosay,howtheUniverseexistsinfact,neverthelessthisexamplewithtraditionalhermeneutics
showsthattheideaofmassiveparallelismofnaturalprocessesexistsforalongtime.Theelementarywayof
simulatingmassiveparallelisminthenatureispresentedbycellularautomata.StephenWolframclaimsinhis
famousbookANewKindofScience[1]thatallbasicphysicalandbiologicalprocessesmayberegardedascomputer’s
programs,namelyascellularautomaticsimulations.Inthischapterwediscussthepossibilitytoestablishthe
unconventionallogic,i.e.thelogicofunconventionalcomputingthatfirstcanbeusedforsimulatinganynatural
processandsecondallitsbasiclogicalprocessessuchasdeductionandvaluationaremassivelyparallel.
Recallthatanycellularautomatonconsistsofcellsbelongingtothesetd
Z,therebyeachofcelltakesitsvalueinS,
afiniteorinfinitesetofelementscalledthestatesofanautomaton.Usually,cellsareconsideredasunchangeable,but
theirstateschangepermanently.ThisdynamicsdependsonlocaltransitionruleSSn
+1
:
δ
thattransformsstates
ofcellstakingintoaccountstatesofnneighborcells.Theorderedsetof nelements,N,issaidtobea
neighborhood.Eachstepofdynamicsisfixedbydiscretetime K0,1,2,=t
Atthemomentt,theconfigurationofthewholesystem(ortheglobalstate)isgivenbythemappingt
xfromd
Z
intoS,andtheevolutionisthesequenceK,,, 210 xxx definedasfollows:
))(,),(),((=)( 1
1n
tttt zxzxzxzx
ααδ
++
+K,where1
α
,...,N
n
α
.Here0
xistheinitialconfiguration,andit
fullydeterminesthefuturebehavioroftheautomaton.
Letusconsideranexampleofcellularautomataforamassiveparallelpresentationoflogicalconjunction(AND).
Assumethatitscellsbelongto2
Zandeachcellcanhavejustoneoftwostates:tobeeithertrueorfalse.Ifthecellis
black,thismeansitistrue,andifitiswhite,itisfalse.Theneighborhoodofourcellularautomatonconsistsoftwo
members:theleftandrightneighborforeachcell.Thelocaltransitionrulethatembodiesconjunctionsaysthatthe
cellpreservestheblackcolorifandonlyifbothitsneighborsareblackandthewhitecelldoesnotchangeitscolor.In
caseofinitialconfigurationpresentedinFigure1,wehaveonlytwostepsofevolution.Thentheautomatonstops
becauseallcellsbecomewhite.
t=0

Figur
e
This
e
oflo
g
massi
possi
b
differ
e
claim
possi
b
aprio
r
cause
s
circu
m
confi
g
Neve
r
One
o
paral
l
appl
y
activ
e
grey
c
activ
e
theg
r
swer
v
grey
a
0

Figur
e
Also
w
move
area
c
0

 
e1.Anexam
p
e
xampleofce
l
g
icalnotionsd
i
velyparallel
ilitiesarec
o
e
ntvaluesof
thatalltheb
a
b
lecases.Th
e
r
istic.Onthe
c
sallfurther
d
m
stancesalll
g
uration,i.e.
o
r
theless,ther
e
o
ftheseauto
m
l
el.Themove
m
y
onlytothea
c
e
remainthes
a
c
ells.Thenei
g
e
cellmaybe
l
r
eyneighbors
;
v
esrightupp
e
a
ndhasgrey
n
123


e2.Anexam
p
w
ecouldus
e
inparallelin
c
tive.Theirbe
h
123
t=
p
leofcellular
l
lularautoma
t
iffersfromth
e
thinkingth
e
o
nsideredap
r
atomicprop
o
a
sicnotionso
f
e
reisnoinit
i
c
ontrary,inu
n
d
ynamics.H
e
ogicalnotion
s
o
nourexperie
n
e
couldbepr
o
m
ataiscalle
d
m
entofsingl
e
c
tivecell,and
a
mefromon
e
g
hborhoodc
o
l
ocatedonlyi
n
;
itswervesif
e
riftheright
u
n
eighbors;the
45
p
leofmobile
a
e
socalledco
n
thiskindof
a
h
aviorisexe
m
45
1 
automatonfo
t
icconsiderat
i
e
convention
a
e
dynamics
o
r
iori,e.g.in
s
o
sitionsinflue
f
conventiona
i
alconfigurat
i
n
conventiona
l
e
rebyeachst
e
s
inunconve
n
n
ce.
o
posedalsoh
y
d
mobileauto
m
e
celldepend
s
alsospecify
h
e
generationt
o
o
nsistsoftwo
n
thegreycel
l
r
ight(atthe
n
u
ppercellis
g
activecellst
o
a
utomatonth
a
n
currentauto
m
utomata.Let
u
m
plifiedinFi
g
678
t=2
rconjunction
i
onofconjun
c
a
lone.First,i
n
o
fthewhol
e
s
emanticval
u
e
ncesonthe
v
a
llogicarea
p
t
ionofthew
h
llogicwefoc
u
e
pofdynami
c
n
tionallogic
y
bridcellular
m
ata[1]that
h
s
onitsenvir
o
h
owtheactiv
e
o
thenext.As
members:u
p
l
withthegre
y
n
extstep)the
c
g
reyandhast
h
o
psifitcanno
t

a
tstopsatste
p
m
ata
,
whenm
o
u
sconsidert
h
g
ure3.

thathaltsats
c
tionshowsh
o
n
standardse
q
e
system.Se
c
u
ationofa
w
v
alueofthe
w
p
riori,theydo
h
olethatsho
u
soninitialc
o
c
sisunique
a
couldbesai
d
automata,w
h
h
aveasingle
o
nment.Ina
e
cellmovesfr
anexample,l
p
perandlow
e
y
neighbors;i
t
c
ellisgrey,b
u
h
egreyneigh
b
t
moveorsw
e
p
4
o
rethanone
h
epreviouse
x
t=3
t
ep3
o
wdeepthe
m
q
uentialthink
i
c
ond,incon
v
w
ellformedf
o
w
holeproposi
t
notdepend
o
u
ldbetaken
o
nfiguration
o
a
ndevolutio
n
d
tobeapos
t
h
ereweaccen
activecelli
n
mobileauto
m
o
monestept
o
e
tusconside
r
e
rcell.Thetr
a
t
movesright
u
tonlyoneof
i
b
orsandrigh
t
e
rve(seeFigu
r
cellisactive.
x
ampleofmo
b
m
assiveparal
l
i
ngIanalyses
v
entionallo
g
o
rmulaIrega
t
ion.Duetot
h
o
nourexperi
e
intoaccoun
t
o
fthewhole
s
n
maybeinfi
n
teriori
,
they
d
n
tondynamic
n
steadofup
d
m
aton,theloc
a
othenext.Al
l
r
anautomat
o
ansitionrule
iftherightc
e
itsneighbors
t
lowerifthe
r
r
e2).
Hence,som
e
b
ileautomato
n
l
elunderstan
d
sequencesan
g
icallseque
n
rdallcases
h
h
isfactwec
o
e
nceandcove
r
t
.Itwouldb
e
s
ystem,becau
s
n
ite.Undert
h
d
ependonin
sofsinglece
l
d
atingallcell
a
ltransitionr
u
l
cellsthatare
o
nwithwhite
isasfollows:
e
llisgreyand
i
sgrey,there
b
r
ightlowerc
e
e
butnotall
c
n
wheretwo
c
d
ing
din
n
tial
h
ow
o
uld
r
all
e
so
s
eit
h
ese
itial
l
l(s).
sin
u
les
not
and
the
has
b
yit
e
llis
c
ells
c
ells


Figur
e
cells.
A
Thel
a
sever
a
cells
(
thetr
a
same
rema
i
theg
r
auto
m
Mobi
l
proce
theor
e
massi
embo
Inthi
s
three
Phys
a
0



Figur
e
2. Pr
o
Fora
n
syste
m
auto
m

e3.Anexam
p
A
tstep7the
a
a
stkindofh
y
a
linitialcells
a
(
atstep0)ass
u
a
nsitionrule
a
andweaddt
h
i
nsthesame
a
r
eycellhast
h
m
atonispictu
r
l
e,concurrent
sseswhicha
r
e
ticcellulara
i
velyparallel
dyinguncon
v
s
chapterwe
s
simulations
a
rumpolycep
h
123
 

e4.
o
of-theoretic
n
ylogicalla
n
m
s)simulati
n
m
aton
A
isc
o
p
leofconcurr
e
a
utomatonha
l
y
bridautom
a
a
ndaddsom
e
u
mingthatt
h
a
sfollows:if
t
h
enewgrey
c
a
ndweaddt
h
h
ewhiteneig
h
r
edinFigure
4
andspatiala
u
r
eobservede
v
utomatawhe
abstractphe
n
v
entionallogi
c
s
ketchsome
b
onthebasis
h
alum.Allth
e

cellular aut
o
n
guage
L
we
n
gmassivep
a
o
llectedfrom
w
e
ntautomato
n
l
ts
a
taweareg
o
e
additionalc
e
h
eneighborh
o
t
hegreycell
h
c
ellupper;ift
h
h
enewgrey
c
h
bor,itbeco
m
4
.
u
tomataares
v
erywherein
realllogical
n
omenasot
h
c
ofproofthe
o
asicdefinitio
n
ofthislogi
c
e
seexamples
a

o
mata
canconstruc
a
rallelproofs
.
w
ellformedf
o
n
withtwoac
t
o
ingtoconsi
d
e
llsbytheloc
a
o
odconsistso
f
h
asonlyoneg
h
egreycellh
a
c
elllower;ift
h
m
eswhite;th
e
s
implederiva
t
thenature.
O
processessu
c
h
atrealmass
i
o
reticcellular
n
sofunconve
c
:epidemic
s
a
ssumefeedb
a
c
taprooftheo
r
.Inaproof
o
rmulasofal
t
ivecells.Ats
d
erispresent
e
a
ltransitionr
u
f
twomembe
r
reyneighbor
a
sonlyonegr
h
egreycell
h
e
whitecelle
v
t
ionsofcellul
a
O
urclaimist
h
c
hasdeducti
i
veparallelis
m
automata.
ntionallogic
a
s
preading,B
e
a
ckrelations
w
r
eticcellulara
u
theoreticcell
anguage
L
a
n
t
ep4weobse
r
e
dbyspatial
u
le.Forinsta
n
r
s:upperand
c
ellanditisl
o
e
yneighborc
e
asbothgrey
n
v
erremainst
h
a
rautomatai
n
h
atwecould
o
n,derivatio
n
m
inthewo
r
a
ndexemplif
y
lousovZhab
o
w
hicharemo
d
u
tomaton(inst
e
u
larautomat
n
dtheroleof
rvethefusio
n
automata
,
w
h
n
ce,letustak
e
lowercell.
T
ower,thenth
e
ellanditisu
p
n
eighbors,it
b
h
esame.The
n
simulating
m
introduceth
e
n
,valuation
a
r
ldpresents
d
y
howtheno
v
o
tinskyreact
i
d
eledbycirc
u
e
adofconve
n
t
ontheset
S
localtransiti
o
n
oftwoactiv
e
h
erewehave
e
threeinitial
g
T
henletusde
e
cellremain
s
p
per,thenthe
b
ecomeswhi
t
dynamicsof
m
assivelypar
a
e
notionofpr
o
a
reconsidere
d
d
ifferentway
s
v
ellogicwork
s
on,dynamic
s
u
larproofs.
n
tionaldedu
c
S
ofstateso
f
o
nfunction,
δ
e
just
g
rey
fine
s
the
cell
t
e;if
this
a
llel
o
of
d
as
s
of
s
by
s
of
c
tive
f
an
δ
,is
playedbytheinferenceruleofalanguageL.Theinitialconfigurationof
A
isthesetofallpremises(notaxioms)
anditfullydeterminesthefuturebehavioroftheautomaton.Weassumethat
δ
isaninferencerule,i.e.amapping
fromthesetofpremises(theirnumbercannotexceed|=| Nn )toaconclusion.Foranyd
zZthesequence
)(
0zx ,)(
1zx ,,)( zxt,…iscalledaderivationtracefromastate)(
0zx .Ifthereexiststsuchthat
)(=)( zxzx lt foralltl >,thenaderivationtraceisfinite.Itiscircular/cyclicifthereexistslsuchthat
)(=)( zxzx ltt +forallt.IncaseallderivationtracesofaprooftheoreticcellularautomatonAarecircular,this
automaton
A
issaidtobereversible.
1.Cellularautomaticpresentationofmodusponens.ConsiderapropositionallanguageLthatisbuiltinthestandard
waywiththeonlybinaryoperationofimplication
.Letussupposethatwellformedformulasofthatlanguageareusedasthe
setofstatesforaprooftheoreticcellularautomaton
A
.Further,assumethatmodusponensisatransitionruleofthis
automaton
A
anditisformulatedforany
ϕ
,L
ψ
asfollows:
+
+
.),(
);(=)(,
=)(
1
otherwisezx
Nzandzxif
zx
t
t
t
ϕψϕψ
ThefurtherdynamicscanbeexemplifiedbytheevolutionofcellstatesinFig.5Fig.7.
r
q
p
)
(

)
(qpp
 qp

)
(
)
(qpqp

r
p
r
)
(
)
(
)
(
r
q
r
p q
p

p
 )
(
q
p
p

p
r

r
p p
)
)(( qpqp
p
r

)
(
r
q
p
 pp
 qp
)
(
)
(pq
r
p
r
p

qp  )( pqp
 q
r
p
 p
Figure5.AninitialconfigurationofaprooftheoreticcellularautomatonAwiththeneighborhoodconsistingof8
membersinthe2dimensionalspace,itsstatesrunoverformulassetupinapropositionallanguageLwiththeonly
binaryoperation,0=t.Noticethat
r
q
p
,, arepropositionalvariables
r
 qp  q qp

r

r
q q p qp
 p
r

p
 )
(
q
p
q

p

r

r
q p q pq

r

qp  )
(
p
q
p
 q
r
 p
Figure6.Anevolutionof
A
describedinFig.5atthetimestep1=t
r
 q q q
r

r
 q p q p
r

p
 q
p

r

r

p
 q
p

r

q
p
 q
r

p

Figure7.AnevolutionofAdescribedinFig.5atthetimestep3=t.Itsconfigurationcannotvaryfurther
Thisexampleshowsthatfirstwecompletelyavoidaxiomsandsecondlywetakepremisesfromthecellstatesofthe
neighborhoodaccordingtoatransitionfunction.Asaresult,wedonotcomeacrossprooftreesinournovel
approachtodeductiontakingintoaccountthatacellstatehasjustalineardynamics(thenumberofcellsandtheir
locationdonotchange).Thisallowsusevidentlytosimplifydeductivesystems.
2.Concurrentautomaticpresentationofmodusponens.Letusconsideraconcurrentmodificationofcellularautomaton
describedinthepreviousexample.Inthenewautomatonwehavetwoactivecells:orangeandpurple.Theymoveconcurrently.If
theneighborcellisthesecondpremiseofmodusponenswhiletheactivecellisthefirstpremise,thenatthenextsteptheactive
cellislocatedontheplaceofthisneighbor.Theneighborhoodisorderedclockwiseandifseveralneighborcellsarethesecond
premiseofmodusponensatthesametime,thenatthenextsteptheactivecelltakesplaceofthefirstcelloftheseneighbors.The
concurrentautomatonofmodusponensmaybeillustratedbytheevolutionofcellstatesinFig.8Fig.10.
3.ExampleofHilbertʹsinferencerules.SupposeapropositionallanguageLcontainstwobasicpropositionaloperations:
negationanddisjunction.Asusual,thesetofallformulasofLisregardedasthesetofstatesofanappropriateprooftheoretic
cellularautomata.InthatwewillusetheexclusivedisjunctionofthefollowingfiveinferencerulesconvertedfromJosephR.
Shoenfieldʹsdeductivesystem:
+¬
+¬
+
).()(=)(,
);()(=)(,
);(=)(,)(
;=)(,
;=)(,
=)(
1
Nzandzxif
Nzandzxif
zxif
zxif
zxif
zx
t
t
t
t
t
t
χϕψϕψχ
ψϕχϕψχ
ϕψχϕψχ
ϕϕϕ
ϕϕψ
r
q
p
)
(

)
(qpp
 q
p

)
(
)
(qpqp

r
p
r
)
(
)
(
)
(
r
q
r
p qp
 p )
(
q
p
p
 p
r

r
p

p

)
)(( qpqp
p

r

)
(
r
q
p
 pp
 qp
)
(
)
(pq
r
p
r
p

q
p
 )( pqp
 q
r
p

p

Figure8.Aninitialconfigurationofaprooftheoreticconcurrentautomaton
A
withtheneighborhoodconsistingof
8membersinthe2dimensionalspace.CellsofautomatonarethesameasinFig.57.Inadditionthisautomaton
hastwoconcurrentactivecells:orangeandpurple
r
q
p
)
(

)
(qpp
 qp

)
(
)
(qpqp

r
p
r
)
(
)
(
)
(
r
q
r
p qp
 p )
(
q
p
p
 p
r

r
p

p

)
)(( qpqp
p

r

)
(
r
q
p

p
p
 q
p
)
(
)
(pq
r
p
r
p

qp  )( pqp
 q
r
p
 p
Figure9.AnevolutionofAdescribedinFig.8atthetimestep1=t
r
q
p
)
(

)
(qpp
 qp

)
(
)
(qpqp

r
p
r
)
(
)
(
)
(
r
q
r
p q
p

p
 )
(
q
p
p

p
r

r
p p
)
)(( qpqp
p
r

)
(
r
q
p

p
p
 q
p
)
(
)
(pq
r
p
r
p

qp  )( pqp
 q
r
p
 p
Figure10.AnevolutionofAdescribedinFig.8atthetimestep2=t.Wehaveafusionoftwoactivecellsintothe
oneandhaltingoftheautomaton
Wehavejustconstructedthetheoryofproofsinwhichthereisnoplacefortheoremsorprovableformulas(apriori
propositions),formoredetailssee[2].Wecangofurtherandconstructaformallanguageinwhichtherearenobasic
notionsofclassicalsemantics,e.g.therearenovalidformulas.
Thenovellanguagewillbecalledunconventionalornonwellfunded[3].Itsformulasaredefinedasfollows:
Eachatomicformulaisaformula.
IfФ1Ф2orФ1Ф2orФ1Ф2or¬Ф1,¬Ф2areformulas,thenФ1,Ф2areformulas.
Theabovedefinitionassumesthattheformulaisasyntacticobjectwhichdoesnotsatisfythesettheoreticaxiomof
foundation.Itmeansthatthegivensyntacticobjectscanalreadybeofaninfinitelengthandcomprisecycles.For
example,cyclicexpressions(Ф1(Ф2(Ф1(Ф2(…)))))or(Ф1(Ф1(Ф1(Ф1(…)))))arewellformed
formulas.Theseexpressionscanbedefinedbyrecursion,too:
- Theformulaofinfinitelength(Ф1(Ф2(Ф1(Ф2(…)))))isequivalenttothecyclicdefinitionФ=(Ф1
(Ф2Ф)).
- Theformulaofinfinitelength(Ф1(Ф1(Ф1(Ф1(…)))))isequivalenttothecyclicdefinitionФ=(Ф1Ф).
Meaningsofunconventionallogicalconnectives,,,¬aredefinednotbytruetablesasthisproceedsusually,
butbyhybridcellularautomata.Letustakenowacellularautomaton
A
,wherethesetSofcellstatesiscollected
fromtwotruthvalues1and0forwellformedformulasofalanguageL.ThelocaltransitionruleSSn
+1
:
δ
thatis
{}
¬
,,,
δ
isthetruthvaluationforeachlogicaloperationofalanguageL.
Definition1.Atruthvaluationofconjunctionisatransitionruleoftheautomaton
A
,where
{}
0,1=S,anditis
formulatedforanyformulaФ1Ф2Lasfollows:
+
+
.0,
);(01=)(1,
=)(
1
otherwise
Nzandzxif
zx
t
t
Definition2.AtruthvaluationofdisjunctionisatransitionruleoftheautomatonA,where
{}
0,1=S,anditis
formulatedforanyformulaФ1Ф2Lasfollows:
+
+
.0,
);(11=)(1,
=)(
1
otherwise
Nzorzxif
zx
t
t
Definition3.AtruthvaluationofimplicationisatransitionruleoftheautomatonA,where
{}
0,1=S,anditis
formulatedforanyformulaФ1Ф2Lasfollows:
+
+
.1,
);(00=)(0,
=)(
1
otherwise
Nzandzxif
zx
t
t
Definition4.AtruthvaluationofnegationisatransitionruleoftheautomatonA,where
{}
0,1=S,anditis
formulatedforanyformula¬ФLasfollows:
+
.1,
1;=)(0,
=)(
1
otherwise
zxif
zx
t
t
Algorithmoftruthvaluation.LetФbeaformula.Ifitisatomic,thenitstruthvalueisaninitialconfigurationofacellular
automatonwiththesetofstates{1,0}.Ifitisnotatomic,thenwestarttheevaluationwiththemostoutsideconnectivek1.By
usingoneofdefinitions14thatcorrespondstok1,wetransformaninitialconfigurationofacellularautomatonwiththesetof
states{1,0}.Thistransformationisfixedbystepstk1=1,2,3,Thenwemovetoamoreinsideconnectivek2.Foreachsteptk1=
1,2,3,wetransformaconfigurationatsteptk1inaccordancewithoneofdefinitions14thatcorrespondstothenew
connectivek2.Thismeansthatforeachsteptk1weobtainanewcellularautomatonforthetruthevaluationofk2.Each
transformationofthatcellularautomatonisfixedbynewstepstk2=1,2,3,Noticethatitispossiblethatsimultaneouslywe
havetwoinsideconnectivesk2andk2ofthesamerange.Inthiscasewedoallthesame,butinparallelmanner.Further,wecan
movetoamoreinsideconnectivek3.Foreachsteptk2=1,2,3,wetransformaconfigurationatthesteptk2inaccordancewith
oneofdefinitions14thatcorrespondstotheconnectivek3andsoon.
Toprovideanexample,letusevaluatetheformula(Ф1(Ф2Ф1))inacellularautomaton
A
withthe
neighborhoodconsistingof8membersinthe2dimensionalspace,wheretheblackcelldesignatestrueandthewhite
false:
(I)Initialconfiguration,0=t
Webeginourevaluationwiththeconnectiveasmostoutside.Therebyweareusingdefinition3:
(II) 1=t
So,wehaveonlyonetransformationfixedbystep1.Thenwemovetotheinsideconnectiveandbydefinition1we
obtainthefollowingdataover(II):
(III) 2=t   (IV) 3=t
Theautomaton(IV)cannotvaryfurther.Ifwehadanadditionalmoreinsideconnective,thenwewouldhavetwo
automata(III)and(IV)forfurthermodificationinaccordancewiththismoreinsideconnective.
3. T
h
Now
w
epide
m
susce
p
R
:
N
four
p
R
(‘
h
Thes
conta
c
infect
e
popu
l
indiv
i
transi
thetr
a
acycl
Whe
n
popu
l
susce
p
small
enou
g
thetr
a
andt
h
transi
again
Asa
n
auto
m
indiv
i
healt
h
t=0

h
e proof-theo
r
weconsider
s
m
icspreadin
g
p
tible
S
,
ac
l
SIN
N
=
p
ermittedsta
t
h
ealthyandu
n
tateofthei
n
c
tswithothe
r
e
dandnext
t
l
ation.Each
s
i
dualisinfec
t
i
tionthatanil
a
nsitionthat
a
einstatetran
n
thetransiti
o
l
ationisquic
k
p
tibleindivi
d
numberofst
a
g
h.Inthecas
e
a
nsition
S
h
espreading
i
tion
R
IL
diesout.
n
exampleo
f
m
atonwhose
n
i
dual,thegre
y
h
yandsuscep
 



r
etic cellular
s
omenatural
e
g
.Letafixed
h
assofill
IL
,
RIL
.
T
t
es:
IN
(‘infe
n
susceptiblei
n
n
dividualsev
o
r
individuals.
t
heinfection
s
tatecanbet
r
t
ed
b
yanilli
n
lindividual
w
a
nunsuscepti
b
sitions:
o
n
I
L
IN
k
lyinfected,t
h
d
ualscanbei
n
a
tes,theepid
e
e
when
R
IN
.Ifthetr
a
processisst
o
R
coversthe
f
prooftheor
e
n
eighborhoo
d
y
cellinfecte
d
tibleindivid
u
automaton
f
e
xamplesofp
r
h
umanpopul
a
andaclass
o
T
heneachcel
l
ctedindivid
u
n
dividual’)
w
+
=)(
1
zx
t
o
lvesintime
Whenoneil
l
spreadsouts
i
r
ansformedi
n
n
dividual,
I
N
w
illrecoveror
b
leindividua
l
L
coversthe
h
eninfectedi
n
n
fected,there
f
e
micspread
m
S
coversaf
e
a
nsition
S
o
pped,becau
s
moststates,
t
e
ticcellular
consistsof8
m
d
individual
,
t
u
al:


f
or epidemic
r
ooftheoretic
ation
N
b
e
d
o
fhealthyan
d
l
ofourabstr
a
u
al’),
S
(‘hea
l
w
hichinteract
u
),(
ILIN
R
=)(S
=
)(IN
=)(R
=
)(IL
other
w
zx xif
zxif
zxif
zxif zxif
t
t
t
t
t
t
anddepends
l
individuala
i
dethesecell
n
oneoffour
IL
N
atr
a
r
beisolatedf
r
l
loseitsimm
u
moststates
,
n
dividuals(st
a
foreepidemi
c
m
uchslower
a
e
wstates,the
i
IN
issprea
d
s
ethenumbe
r
t
henthenum
b
automatons
i
membersint
h
t
hepurplece
l

s
preadin
g
cellularauto
m
d
ividedintoa
d
unsusceptibl
a
ctmachinesi
m
thyandsusc
e
u
nderthefoll
o
+
+
.
IL,S=)(
(S,
R
(IN,S
=
IL;
IN;
=
w
ise
z
N
z
z
t
ontheirpre
v
ppearsinac
e
s
.Thisslows
ways:
I
S
nsitionthati
n
r
omtheresto
f
u
nityandbec
INS
i.e.theepi
d
a
tes)become
u
c
diesout.O
n
a
ndthenum
b
i
nfectioncan
o
d
always,al
m
r
ofsuscepti
b
b
erofinfect
e
i
mulatingep
i
h
e2dimensi
o
l
lunsuscepti
b
m
ataandour
f
classofinfec
t
e
orisolated
f
m
ulatingepi
d
e
ptibleindivi
d
o
wingconditi
+
;)(
(ILIN,,)
;)
Nz
z
N
N
v
iousstatea
n
e
ll,firstindiv
downthes
p
I
N
meanst
n
fectedindivi
f
thepopulati
o
amehealthy
a
RIL
d
emicsprea
d
u
nsusceptible
n
theotherh
a
erofsuscepti
b
o
ccuronlyfo
r
ostthewhole
leindividual
s
dindividual
s
i
demicsprea
d
o
nalspace
,
w
h
b
leorisolated
firstillustrati
o
t
ed
IN
,
acl
a
f
romtherest
o
d
emicspread
i
d
ual’),
IL
(‘i
i
on:
+;)N
z
n
dtheconne
c
v
idualsfrom
n
p
readingpro
c
h
etransition
t
i
dualbecome
on(e.g.ina
h
a
ndsusceptib
l
.S
d
srapidlya
n
andthismea
n
a
nd,when
I
N
i
bleindividu
a
r
asmallnu
m
e
populationi
s
s
istoolow.
F
s
becomess
m
dingwec
o
h
eretheblack
individual,
a
o
nisdedicate
a
ssofhealthy
o
fthepopula
t
nghasoneo
f
l
lindividual’
)
c
tionsorran
d
n
eighborcells
c
essinthew
h
t
hatasuscep
t
ill,
RIL
ospital),
R
l
e.Thus,we
h
n
dalmostw
h
n
sthatonlya
IL
N
cove
a
lsisalwaysl
a
b
erofstates
w
s
quicklyinfe
c
F
inally,when
m
allandepid
e
o
uldconside
r
celldesignat
e
a
ndthewhite
dto
and
t
ion
f
the
)
,or
d
om
are
h
ole
t
ible
the
S
h
ave
h
ole
few
rsa
a
rge
w
ith
c
ted
the
e
mic
r
an
e
sill
cell
t=1


Figur
e
4. T
h
The
m
comp
l
simpl
react
a
2
Br
,
massi
andt
h
color
syste
m
minu
t
in
w
+3
Ce
Whe
n
andt
h
b
rom
a
incre
a
B
r
O
proce
Figur
e
atlea
s
prem
i
ifthe
y
The
p
chem
i



e11.Thepro
o
h
e proof-theo
r
m
echanismof
licated:itsre
c
ificationof
B
a
nts:
+3
Ce
,
H
2
(CO
O
CH
i
veparallels
y
h
ebehavioro
fromyellow
m
s(suchasa
t
eandarerep
w
hichceriu
m
+4
Ce
n
Br
hasb
e
h
eoxidizedf
o
a
te(
3
BrO
)
a
a
sebromide
(
3
O
)and
H
O
B
ssbeginsaga
i
2
HBrO
HOBr
e12.The
b
asi
c
s
tonedisjunc
t
i
seforfurther
y
areneighbo
r
p
rooftheoreti
c
i
calmachine
[
o
ftheoreticce
r
etic concur
r
theBelousov
c
entmodelco
B
elousovZha
b
2
H
BrO
,
B
r
O
2
)
OH
which
y
stemevident
l
fthewholes
y
tocolorless,
simplepetri
d
eatedoveral
o
m
changes
K
+3
Ce
e
ensignifican
t
o
rmoftheme
t
a
nd
HOBr
.
(
Br
)conce
n
Br
toform
B
i
n.Thus,para
l
&&
&
&
2
3
2
3
4
3
Br
Br
HOBr
H
Br
H
BrO
HBrO CeBr
B
Ce C
e
Ce
+
+
c
reactionsof
t
ivestatetake
deducing),a
n
r
s
c
simulation
o
[
4]orreaction
l
lularautoma
t
r
ent automat
o
Zhabotinsky
r
ntains80ele
m
b
otinskyrea
c
3
O
,
+
H
,
C
e
interactacc
o
l
yismuchm
o
y
stemismuc
h
allowingth
e
d
ish),theosci
l
o
ngperiodof
itsoxidati
.
t
lylowered,t
h
t
alioncatalys
Meanwhile,t
h
n
tration.Onc
e
2
Br
,further
B
l
lelprocesses
h
(&
(5)
(3)
(
&
&
22
3
2
4
2
B
rC
H
HC
O
CH
r
H
H
HCOO
H
CO
O
B
rC
H
HBrO
e
B
HBrO
+
+
+
+
+
BelousovZh
a
splace(inco
n
n
dthesign&
o
fBelousovZ
h
diffusionco
m

tonforepide
m
o
n for Belou
s
reaction(na
m
m
entarysteps
c
tionassumi
n
+4
e
,
OH
2
,
B
o
rdingtobas
i
o
redifficultt
h
h
morecomp
l
e
oscillations
l
lationsprop
a
f
time.Thecol
i
onstate
f
h
ereactionc
a
s
tandindicat
o
t
henextstep
e
thebromid
e
2
Br
reactswit
h
haveseveral
c
)(
)
&
&
&)
&
2
2
2
3
2
22
2
2
3
COOH
H
O
O
H
Br
HOBr
HOB
r
BrO
H
CO
H
O
H
OH
OH H
B
rO
+
a
botinskyrea
c
n
currentinfer
e
isafusionth
a
h
abotinskyr
e
m
puting[5],[
6
m
icspreadin
g
s
ov-Zhaboti
n
m
elycerium(II
I
and26varia
b
n
gthatthes
e
B
rCH
(CO
i
creactions
o
h
anthatinthe
l
icated.Inthi
s
tobeobser
v
a
gateasspira
l
o
rchangesar
e
romceriu
m
a
usesanexpo
n
o
r,cerium(IV)
reducesthec
e
e
concentrati
o
h
2
(CO
O
CH
c
ycleswhich
a
(7)
&
&
&
&
(2)
(1)
2
2
OH HBr
HBrO
r
HBr
H
O
+
+
+
c
tion
,
wheret
h
e
nceruleswe
a
tmeansinco
e
actioncanbe
6
],[7]):
atstep0and
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edvisually.
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observesud
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etic
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sly
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at
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lls
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Definition5.1Let+3
{= CeL ,2
HBrO ,
3
BrO ,+
H
,+4
Ce ,OH2,BrCH 2
)(COOH ,
Br
,HCOOH ,
2
CO ,HOBr,2
Br ,})( 22 COOHCH bethesetofstates.Thetwobasicoperations(disjunction)and&(fusion)are
definedbyinferencerulesinFig.12,whichdescribegeneralpropertiesoftransitions.Thentheprooftheoreticsimulationof
BelousovZhabotinskyreactionisaconcurrentautomaton.
Inthissystem,transitionsbetweenstatesareidentifiedwithderivationsdeterminedbyinitialvaluesofstates.Here
weobtainamassiveparallelprocessofderivationtoo.Eachstepofderivationmeansatransition.Asaresult,the
circulartraceofstate+3
Ce (resp.+4
Ce )hasameaningofcircularproof,wherethestate+3
Ce (resp.+4
Ce )is
unfoldedinfinitelyoftenamongpremisesandatthesametimeamongderivableexpressions.
5. The proof-theoretic spatial automaton for dynamics of Plasmodium of Physarum polycephalum
ThedynamicsofplasmodiumofPhysarumpolycephalumcouldberegardedasanothersimpleexampleofthenatural
prooftheoreticautomata.Thepointisthatwhentheplasmodiumiscultivatedonanutrientrichsubstrate(agargel
containingcrushedoatflakes)itexhibitsuniformcirculargrowthsimilartotheexcitationwavesintheexcitable
BelousovZhabotinskymedium.Ifthegrowthsubstratelacksnutrients,e.g.theplasmodiumiscultivatedonanon
nutrientandrepellentcontaininggel,awetfilterpaperorevenglasssurfacelocalizationsemergeandbranching
patternsbecomeclearlyvisible.
Theplasmodiumcontinuesitsspreading,reconfigurationanddevelopmentaslongasthereareenoughnutrients.
Whenthesupplyofnutrientsisover,theplasmodiumeitherswitchestofructificationstate(iflevelofilluminationis
highenough),whensporangiaareproduced,orformssclerotium(encapsulatesitselfinhardmembrane),ifin
darkness.
Thepseudopodiumpropagatesinamanneranalogoustotheformationofwavefragmentsinsubexcitable
BelousovZhabotinskysystems.Startingintheinitialconditionstheplasmodiumexhibitsforagingbehavior,
searchingforsourcesofnutrients.Whensuchsourcesarelocatedandtakenover,theplasmodiumforms
characteristicveinsofprotoplasm,whichcontractsperiodically.BelousovZhabotinskyreactionandplasmodiumare
lightsensitive,whichgivesusthemeanstoprogramthem.Physarumexhibitsarticulatednegativephototaxis,
BelousovZhabotinskyreactionisinhibitedbylight.Thereforebyusingmasksofilluminationonecancontrolthe
dynamicsoflocalizationsinthesemedia.
ExperimentswithPhysarumpolycephalumwerecarriedoutbyProf.Adamatzky([8],[9])asfollows.Theplasmodiaof
Physarumpolycephalumwereculturedonwetpapertowels,fedwithoatflakes,andmoistenedregularly.He
subculturedtheplasmodiumevery57days.
ExperimentswereperformedinstandardPetridishes,9cmindiameter.Dependingonparticularexperimentshe
used2%agargelormoistenfilterpaper,nutrientpoorsubstrates,and2%oatmealagar,nutrientrichsubstrate
(SigmaAldrich).Allexperimentswereconductedinaroomwithdiffusivelightof35cd/m,22°Ctemperature.In
eachexperimentanoatflakecolonizedbytheplasmodiumwasplacedonasubstrateinaPetridish,andfewintact
oatflakesdistributedonthesubstrate.Theintactoatflakesactedassourceofnutrients,attractantsforthe
plasmodium.PetridisheswithplasmodiumwerescannedonastandardHPscanner.Theonlyeditingdoneto
scannedimagesiscolorenhancement:increaseofsaturationandcontrast.
Resultsofexperimentsmaybedescribedintermsofprooftheoreticspatialautomata.Letusassumethatitssetof
statesconsistsoftheentitiesfromthefollowingsets.
Thesetofgrowingpseudopodia,1
{P,},
2KP,localizedinactivezones.Onanutrientrichsubstrateplasmodium
propagatesasatypicalcircular,targetwave,whileonthenutrientpoorsubstrateslocalizedwavefragmentsare
formed.
Thesetofattractants},,{ 21 KAA ,theyaresourcesofnutrients,onwhichtheplasmodiumfeeds.Itisstill
subjectofdiscussionhowexactlyplasmodiumfeelspresenceofattracts,indeeddiffusionofsomekindis
involved.BasedonpreviousexperimentsbyProf.Adamatzkywecanassumethatifthewholeexperimental
areaisabout8—10cmindiameterthentheplasmodiumcanlocateandcolonizenearbysourcesofnutrients.
Thesetofrepellents},,{ 21 KRR .PlasmodiumofPhysarumavoidslight.Thus,domainsofhighilluminationare
repellentssuchthateachrepellent
R
ischaracterizedbyitspositionandintensityofillumination,orforceof
repelling.
Thesetofprotoplasmictubes},,{ 21 KCC .Typicallyplasmodiumspanssourcesofnutrientswithprotoplasmic
tubes/veins.Theplasmodiumbuildsaplanargraph,wherenodesaresourcesofnutrients,e.g.oatflakes,and
edgesareprotoplasmictubes.
Henc
e
polyc
e
Thep
Defi
n
setof
v
auto
m
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Defi
n
deduc
i
form
close
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i
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i
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c
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ition6.Cons
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=S
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ition7.Let
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rom
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e
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eticspatial
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P
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ethateach
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eticspatiala
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sasfollows:
A
R
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automatonf
o
{
},,
2
1
KR
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efinedasfol
l
n
lybinaryoper
a
},,
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.Le
t
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+
+
)
(,
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=)(
=)(
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premises
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d
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d
Xzxif Xzx
if
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ij
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mpolycephalu
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R,
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i
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andboth
i
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c
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=t
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},,
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KCC
.
ows:
a
tion
,
itis
b
t
S
betheset
a
tonisasfollo
w
+
+
)
;
),(
)
;
),(
Nz
R
Nz
R
CC PP
i
i
ji
ji
m
.
},
2
K
C
.As
t
ghborcellw
e
v
ereitherthe
l
doccurina
s
and
j
p
are
c
onsideredas
h
theneighb
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A
C
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b
uiltinthesta
n
ofstatesofpr
o
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e
findoutan
e
emptyseto
r
s
eparatecell.
T
neededford
e
premises.
o
rhoodof8
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u
mofPhysa
n
dardwayove
r
o
oftheoreticsp
a
(1)
l
ledapremis
e
expressionof
r
thesetofst
T
hismeansth
e
ducing,whe
r
m
embersint
h
rum
r
the
a
tial
e
for
the
ates
atif
r
eas
h
e2
6. Conclusion
Selforganizationphenomenainnatureassumecircularityandcauseandeffectfeedbackrelations:eachcomponent
affectstheothercomponents,butthesecomponentsinturnaffectthefirstcomponent([10],[11]).Ourexamplesof
suchselforganizationwerepresentedbyepidemicspreading,BelousovZhabotinskyreaction,andPhysarum
polycephalum.Forinstance,inepidemicspreadingweobservecircularityasautowavesofinfectingandrecovering
andinBelousovZhabotinskyreactionweobservecircularityintheinterchangeofsolutioncolor:inthebeginningthe
solutioniscolorless,thenitbecomesyellow,thenitbecomescolorless,etc.Inlogicalsimulationofepidemic
spreading,BelousovZhabotinskyreactionanddynamicsofPhysarumpolycephalumweobtaincircularproofs.This
showsthatunconventionalcomputingdealswithlogicalcircularitylikecyclicproofsandfeedbackrelationsinstate
transitions.Wecansupposethatlogicalcircularityshouldbeakeynotionof“lifecomputer,”i.e.ofeachself
organizedsystem.Unconventionallogicofprooftheoreticautomataallowsustoconsidersuchnotions.
References
[1] WolframS.ANewKindofScience.WolframMedia,Inc.;2002.
[2] SchumannA.TowardsTheoryofMassiveParallelProofs.CellularAutomataApproach,BulletinoftheSection
ofLogic2010;39/34.
[3] KhrennikovA.,Schumann,A.pAdicPhysics,NonwellFoundedRealityandUnconventionalComputing,p
AdicNumbers,UltrametricAnalysis,andApplications2009;1(4):297306.
[4] BerryG.,BoudolG.Thechemicalabstractmachine,Teor.Comput.Sci.1992;96:21748.
[5] AdamatzkyA.,DeLacyCostelloB.,AsaiT.ReactionDiffusionComputers.Elsevier;2005.
[6] AdamatzkyA.ComputinginNonlinearMediaandAutomataCollectives.InstituteofPhysicsPublishing;2001.
[7] SchumannA.,AdamatzkyA.TowardsSemanticalModelofReactionDiffusionComputing,Kybernetes2009;38
(9):151831.
[8] AdamatzkyA.Physarummachines:encapsulatingreactiondiffusiontocomputespanningtree,
Naturwisseschaften2007;94:97580.
[9] SchumannA.,AdamatzkyA.PhysarumSpatialLogic,NewMathematicsandNaturalComputation2011;
7(3):48398.
[10] BelousovV.Synergeticsandbiologicalmorphogenesis,Selforganization:AutowavesandStructuresFarFrom
Equilibrium.In:KrinskyV.I.(ed.).Heidelberg:Springer;1984.p2048.
[11] NakagakiaT.,YamadaH.,UedaT.InteractionbetweencellshapeandcontractionpatterninthePhysarum
plasmodium,BiophysicalChemistry2000;84:195204.
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The relationship between cell shape and rhythmic contractile activity in the large amoeboid organism Physarum polycephalum was studied. The organism develops intricate networks of veins in which protoplasmic sol moved to and fro very regularly. When migrating on plain agar, the plasmodium extends like a sheet and develops dendritic veins toward the rear. After a particular stimulation, the vein organization changes into veinless or vein-network structures. In both structures, the mixing rate of the protoplasm, which is related to communication among contraction oscillators, decreased compared with that of the dendritic one. Accompanying these changes in vein structure, the spatio-temporal pattern of the rhythmic contraction changed into a small-structured pattern from a synchronized one. In the above process, cell shape affects the contraction pattern, but, conversely, the contraction pattern effects the cell shape. To demonstrate this, a phase difference in the rhythmic contraction was induced artificially by entraining the intrinsic rhythm to external temperature oscillations. New veins then formed along the direction parallel to the phase difference of the rhythm. Consequently, the vein organization of the cell interacts with the contractile activity to form a feedback loop in a mechanism of contraction pattern formation.
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The Physarum machine is a biological computing device, which employs plasmodium of Physarum polycephalum as an unconventional computing substrate. A reaction-diffusion computer is a chemical computing device that computes by propagating diffusive or excitation wave fronts. Reaction-diffusion computers, despite being computationally universal machines, are unable to construct certain classes of proximity graphs without the assistance of an external computing device. I demonstrate that the problem can be solved if the reaction-diffusion system is enclosed in a membrane with few 'growth points', sites guiding the pattern propagation. Experimental approximation of spanning trees by P. polycephalum slime mold demonstrates the feasibility of the approach. Findings provided advance theory of reaction-diffusion computation by enriching it with ideas of slime mold computation.