08285nam 2200589 a 450 991082496870332120240410173033.01-62100-148-2(CKB)2550000000046891(OCoLC)750173571(CaPaEBR)ebrary10686311(SSID)ssj0000568791(PQKBManifestationID)12243376(PQKBTitleCode)TC0000568791(PQKBWorkID)10536649(PQKB)11410141(MiAaPQ)EBC3021987(Au-PeEL)EBL3021987(CaPaEBR)ebr10686311(EXLCZ)99255000000004689120100813d2011 uy 0engurcn|||||||||txtccrCellular automata[electronic resource] /Thomas M. Li, editor1st ed.New York Nova Science Publishers, Inc.c20111 online resource (309 p.) Mathematics research developmentsComputer science, technology and applicationsBibliographic Level Mode of Issuance: Monograph1-61761-592-7 Includes bibliographical references and index.Intro -- CELLULAR AUTOMATA -- CELLULAR AUTOMATA -- CONTENTS -- PREFACE -- Chapter 1 CA UPGRADING FOR EXTENDING THE OPTIMIZATION PROBLEM SOLVING ABILITY -- ABSTRACT -- 1. INTRODUCTION -- How Can We Guide the System by CA? -- 2. COMPLEX SYSTEMS -- 3. OPTIMIZATION -- 3.1. History -- 3.2. Objective Function -- 3.3. System Optimization -- 4. OPTIMIZATION BY CA -- 4.1. Optimization by CA+SA -- 4.1.1. Simulated annealing -- 4.1.2. Procedure -- 4.1.3. A Sample problem solving -- 4.2. Optimization by CA -- 4.2.1. Procedure -- 4.2.2. A Sample problem solving -- 5. CONCLUSION -- REFERENCES -- Chapter 2 MODELING DRUG RELEASE USING CELLULAR AUTOMATA: EVOLUTION AND TRENDS IN PHARMACEUTICAL SCIENCES -- ABSTRACT -- 1. INTRODUCTION -- 2. HISTORICAL REVIEW -- 3. MODELING MATRIX EROSION -- 3.1. Describing the Primary State of the Matrix -- 3.2. Step 1 of Polymer Erosion: Water Penetration in the Matrix -- 3.3. Step 2 of Polymer Erosion: Polymer Degradation -- 3.4. Step 3 of Polymer Erosion: Loss of Polymer Bulk -- 4. MODELING DRUG DIFFUSION -- 5. EVALUATING THE PREDICTIVE VALUE OF MODELS -- 6. CONCLUSION -- REFERENCES -- Chapter 3 A MODEL OF CELLULAR AUTOMATA FOR THE SPATIAL ANALYSIS OF APHIDS AND LADYBUGS -- ABSTRACT -- 1. PRELIMINARIES -- 1.1. Citrus Sudden Death -- 1.2. Cellular Automata -- 1.3. Fuzzy Rule-Based System -- 2. CELLULAR AUTOMATA MODEL -- 3. SIMULATIONS WITH CELLULAR AUTOMATA MODEL -- CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 4 CELLULAR AUTOMATA OPTIMIZATION VIA EVOLUTIONARY METHODS -- ABSTRACT -- INTRODUCTION -- CELLULAR FORMULATION -- COMBINED CELLULAR - GENETIC FORMULATION -- LOCAL SEARCH ALGORITHM -- RESULTS AND DISCUSSION -- REFERENCES -- Chapter 5 PARALLEL CELLULAR AUTOMATA ON CHIP -- ABSTRACT -- 1. INTRODUCTION -- 2. A SIMPLE CELLULAR AUTOMATON -- 3. RECONFIGURABLE COMPUTING -- 4. CELLULAR AUTOMATA RECONFIGURABLE PROCESSOR.4.1. Modeling of the Algorithm -- 4.2. Processor Design -- 4.3. Hardware Implementation -- 5. EXPERIMENTAL RESULTS -- 6. CONCLUSIONS AND FUTURE WORK -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter6 EVOLVINGCELLULARAUTOMATAFORFORMGENERATIONINARTIFICIALDEVELOPMENT -- Abstract -- 1.Introduction -- 2.CellularGrowthTestbed -- 2.1.2DNeighborhoods -- 2.1.1.VonNeumannNeighborhood -- 2.1.2.MooreNeighborhood -- 2.1.3.2-RadialNeighborhood -- 2.1.4.MargolusNeighborhood -- 2.2.3DNeighborhood -- 2.3.NetLogoModels -- 3.MorphogeneticGradients -- 4.Genomes -- 5.GeneticAlgorithm -- 5.1.Chromosomestructure -- 5.1.1.Chromosomestructureforformgeneration -- 5.1.2.Chromosomestructureforpatterngeneration -- 5.2.Fitnessfunction -- 5.2.1.Onestructuralgene -- 5.2.2.Multiplestructuralgenes -- 6.FormGeneration -- 6.1.2Dshapes -- 6.2.3Dshapes -- 6.3.Chosenneighborhoodsforpatterngeneration -- 7.PatternGeneration -- 8.Discussion -- 9.Conclusion -- References -- Chapter7 STRUCTURALANDSYMMETRYANALYSISOFDISCRETEDYNAMICALSYSTEMS -- Abstract -- 1.Introduction -- 2.DiscreteDynamics -- 2.1.DiscreteDynamicalModelswithSpace -- 2.1.1.ExampleofDiscreteModelwithEmergentSpace-time. -- 2.1.2.SpaceSymmetriesinMoreDetail. -- 2.1.3.UnificationofSpaceandInternalSymmetries. -- 3.StructuralAnalysisofDiscreteRelations -- 3.1.BasicDefinitionsandConstructions -- 3.1.1.Relations -- 3.1.2.CompatibilityofSystemsofRelations -- 3.1.3.DecompositionofRelations -- 3.1.4.OnRepresentationofRelationsinComputer -- 3.2.Illustration:ApplicationtoSomeCellularAutomata -- 3.2.1.J.Conway'sGameofLife -- 3.2.2.ElementaryCellularAutomata -- 4.Soliton-likeStructuresinDeterministicDynamics -- CommentsonReversibilityinDiscreteSystems. -- 5.MesoscopicLatticeModels -- 5.1.StatisticalMechanics -- 5.2.Mesoscopy -- 5.2.1.LatticeModels. -- 5.3.PhaseTransitions -- 6.GaugeConnectionandQuantization -- 6.1.DiscreteGaugePrinciple.6.2.QuantumBehaviorandGaugeConnection -- 6.2.1.IllustrativeExampleInspiredbyFreeParticle. -- 6.2.2.LocalQuantumModelsonRegularGraphs -- 6.3.GeneralDiscussionofQuantizationinFiniteSystems -- 6.3.1.PermutationsandLinearRepresentations -- 6.3.2.InterpretationofQuantumDescriptioninFiniteBackground -- 7.Conclusion -- Acknowledgments -- References -- Chapter8 REVERSIBILITYOFCELLULARAUTOMATA -- Abstract -- 1.Introduction -- 2.Quivers -- 2.1.DeBruijnQuiver -- 2.2.AdjacencyMatrices -- 3.CellularAutomata -- 3.1.WolframCellularAutomaton -- 3.2.CorrespondencetodeBruijnQuiver -- 3.3.GlobalTransitionofConfigurationAlgebra -- 3.4.TransitionMatrices -- 4.ReversibilityofCellularAutomata -- 4.1.PeriodicReductionsofWCA -- 4.2.Reversibilityofn-WCA -- 4.3.NecessaryConditionsforReversibilityofn-WCA -- 5.ReversibleRulesinECA -- 5.1.EquivalenceClassesofRules -- 5.2.ReversibilityofRule154 -- 5.3.CompleteListofReversibleRules -- 6.Conclusion -- REFERENCES -- Chapter9 FROMGLIDERSTOUNIVERSALITYOFCELLULARAUTOMATA:ANOTHER2D2-STATEUNIVERSALAUTOMATON -- Abstract -- 1.Introduction -- 2.FormalisationsandNotations -- 2.1.SetofCellularAutomata -- 2.2.EvolutionofCellularAutomata -- 2.3.Isotropy -- 2.4.NumberofAutomata -- 2.5.QuiescentState -- 2.6.Patterns -- 2.6.1.Definition -- 2.6.2.Glider -- 2.7.GliderGun -- 3.GameofLife -- 3.1.TransitionRule -- 3.2.ANDGate -- 3.3.NOTGate -- 4.Gliders -- 4.1.EvolutionaryAlgorithm -- 4.2.Result -- 4.2.1.OrthogonalGliders -- 4.2.2.DiagonalGliders -- 5.Universality -- 5.1.TheR0Automaton:anExperimentalResult -- 5.2.Lookingforan"Eater" -- 5.2.1.EvolutionaryAlgorithm -- 5.2.2.TheEateroftheRAutomaton:anExperimentalResult -- 5.3.NANDGate -- 5.3.1.Collisions -- 5.3.2.NewPattern -- 5.3.3.AssemblingPatternsintoaNOTGate -- 5.4.SimulationofOneCelloftheGameofLife -- 5.5.SimulationoftheGameofLife -- 5.5.1.IntersectionofStreams -- 5.5.2.Synchronisation.5.5.3.SimulationoftheGameofLifeinR -- 6.Conclusion -- References -- Chapter10 ANUMERICALIMPLEMENTATIONOFANENCRYPTIONSYSTEMOFCOMPRESSEDSIGNALSWITHACELLULARAUTOMATAAPPROACH -- Abstract -- 1.Introduction -- 2.ElementaryCellularAutomata -- 3.EncryptionSystem -- 3.1.SynchronizationinCellularAutomata -- 3.1.1.Unidirectionalcoupling -- 3.1.2.Synchronization -- 3.2.TheBasicUnitCipher -- 4.PseudoRandomSequencesGenerator -- 4.1.ModifiedGenerator -- 4.2.PerformanceAnalysis -- 4.3.MultifractalPropertiesoftheMatrixHN -- 5.WaveletAnalysis -- 5.1.Introduction -- 5.2.WaveletTransform -- 5.3.CompressionScheme -- 6.NumericalImplementation -- 7.Conclusion -- References -- Chapter11 CANONICALFACTOROFCELLULARAUTOMATA -- Abstract -- Introduction -- 1.Definitions -- 2.Traces -- 2.1.FactorSubshifts -- 2.2.Generators -- 2.3.ColumnFactors -- 3.TracesofCellularAutomata -- 4.Equicontinuity -- 5.Expansivity -- 6.Entropy -- Conclusion -- References -- INDEX -- Blank Page.Mathematics research developments series.Computer science, technology and applications.Cellular automataCellular automata.511.3/5Li Thomas M1678786MiAaPQMiAaPQMiAaPQBOOK9910824968703321Cellular automata4046635UNINA