Artificial emergence: visions and nightmares The visions of Drexler and others of molecular nanotechnology will be realised sometime. The vision is appealing — trillions of tiny autonomous machines creating useful products or cleaning up after us, using t
ofspace.Fromthisobservations,wedevisedathree-partarchitectureforemergentsystems[4].Wespeculatethatanycomplexsystemwithrequiredemergentpropertiescomprises,
elements(cells,nanites,ants,etc),describedbysimplestatebehaviouralproperties
detectableemergence(patterns,constructionsetc),describedintermsofthephysicalrealityorphysicalproperties
arepresentationorenvironment,supportingmappingsbetween,andpossiblyinteractingwiththeotherparts.
Wespeculatethatsomearchitecturalpartscanbedevelopedbydirectapplicationofexistingen-gineeringtechniques.PartofTUNA,forexample,isinvestigatingformalmodellingandre nementofaspectsoftheplateletsystem.
ConceptsandLayers
Havingestablishedanengineering-friendlyarchitecture,wearenowexploringmorethoroughlypatternswithineachpart.
CAmodelsemployonly“upwardcausation”:yersandcausationhavelongbeenstudiedinthecontextofemergence[1],and,whenwemovebeyondsimpleCAs,wetoo ndaneedtoincorporate“downwardcausation”.
InTUNA,wearelookingattheoreticaldesignsforarti cialbloodplatelets.OnesimulationusesastochasticCAwithupwardcausationtoarepresentation.Themodelisbasic;asplateletscluster,theymoveveryslowly,andriftsopenintheclustersastheymove.However,bymigratingthecontrolofclusteringandmovementoutoftheCA,weachieveahigher-layermodelthatiscapableofrespondingtoenvironmentalin uences;inkeepingwithreality,thehigherlayerexhibitsrelativelocationandrelativemotion.Atthelowerlevel,theCAupdate,stillsynchronisedattheCAlevel,occursinresponsetosignalsfromthehigherlayer.Anicefeatureofthismodel(underdevelopmentbyP.H.WelchandF.R.M.Barnes,UniversityofKent,usingoccam-π[2,6])isthatvisualrepresentationscanbeattachedeithertothelowlevel(toobserveabsolutelocationsandthewayplateletspassthroughthemovertime),orthehigherlevel(toobservetheemergentbehaviourofclustersofplatelets)[5].
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