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The Resource Simulating Complex Systems by Cellular Automata, edited by Jiri Kroc, Peter M.A. Sloot, Alfons G. Hoekstra, (electronic resource)
Simulating Complex Systems by Cellular Automata, edited by Jiri Kroc, Peter M.A. Sloot, Alfons G. Hoekstra, (electronic resource)
Resource Information
The item Simulating Complex Systems by Cellular Automata, edited by Jiri Kroc, Peter M.A. Sloot, Alfons G. Hoekstra, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Simulating Complex Systems by Cellular Automata, edited by Jiri Kroc, Peter M.A. Sloot, Alfons G. Hoekstra, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 Summary
 Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems. Already very basic CA, with extremely simple micro dynamics such as the Game of Life, show an almost endless display of complex emergent behavior. Conversely, CA can also be designed to produce a desired emergent behavior, using either theoretical methodologies or evolutionary techniques. Meanwhile, beyond the original realm of applications  Physics, Computer Science, and Mathematics – CA have also become work horses in very different disciplines such as epidemiology, immunology, sociology, and finance. In this context of fast and impressive progress, spurred further by the enormous attraction these topics have on students, this book emerges as a welcome overview of the field for its practitioners, as well as a good starting point for detailed study on the graduate and postgraduate level. The book contains three parts, two major parts on theory and applications, and a smaller part on software. The theory part contains fundamental chapters on how to design and/or apply CA for many different areas. In the applications part a number of representative examples of really using CA in a broad range of disciplines is provided  this part will give the reader a good idea of the real strength of this kind of modeling as well as the incentive to apply CA in their own field of study
 Language
 eng
 Extent
 XXI, 384p. 17 illus. in color.
 Contents

 to Modeling of Complex Systems Using Cellular Automata
 Theory of Cellular Automata
 Multilevel Cellular Automata as a Tool for Studying Bioinformatic Processes
 Complex Automata: Multiscale Modeling with Coupled Cellular Automata
 Hierarchical Cellular Automata Methods
 Cellular Automata Composition Techniques for Spatial Dynamics Simulation
 Problem Solving on OneBitCommunication Cellular Automata
 Minimal Cellular Automaton Model of Interspecies Interactions: Phenomenology, Complexity and Interpretations
 Cellular Evolutionary Algorithms
 Artificial Evolution of Arbitrary SelfReplicating Structures in Cellular Spaces
 Applications of Cellular Automata
 Game Theoretical Interactions of Moving Agents
 Lattice Boltzmann Simulations of Wetting and Drop Dynamics
 CA Modeling of AntTraffic on Trails
 LatticeGas Cellular Automaton Modeling of Emergent Behavior in Interacting Cell Populations
 Cellular Automata for Simultaneous Analysis and Optimal Structural Topology Design
 Cellular Automata Software
 Parallel Cellular Programming for Emergent Computation
 Isbn
 9783642122033
 Label
 Simulating Complex Systems by Cellular Automata
 Title
 Simulating Complex Systems by Cellular Automata
 Statement of responsibility
 edited by Jiri Kroc, Peter M.A. Sloot, Alfons G. Hoekstra
 Subject

 Engineering
 Computer science
 Computer science
 Simulation and Modeling
 Computer simulation
 Computer Science
 Computer Science
 Computational Intelligence
 Statistical Physics, Dynamical Systems and Complexity
 Electronic resources
 Engineering
 Engineering
 Computer simulation
 Computer Science
 Computer science
 Computational Science and Engineering
 Computer simulation
 Language
 eng
 Summary
 Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems. Already very basic CA, with extremely simple micro dynamics such as the Game of Life, show an almost endless display of complex emergent behavior. Conversely, CA can also be designed to produce a desired emergent behavior, using either theoretical methodologies or evolutionary techniques. Meanwhile, beyond the original realm of applications  Physics, Computer Science, and Mathematics – CA have also become work horses in very different disciplines such as epidemiology, immunology, sociology, and finance. In this context of fast and impressive progress, spurred further by the enormous attraction these topics have on students, this book emerges as a welcome overview of the field for its practitioners, as well as a good starting point for detailed study on the graduate and postgraduate level. The book contains three parts, two major parts on theory and applications, and a smaller part on software. The theory part contains fundamental chapters on how to design and/or apply CA for many different areas. In the applications part a number of representative examples of really using CA in a broad range of disciplines is provided  this part will give the reader a good idea of the real strength of this kind of modeling as well as the incentive to apply CA in their own field of study
 http://library.link/vocab/creatorName
 Kroc, Jiri
 Image bit depth
 0
 LC call number
 QA76.9.C65
 Literary form
 non fiction
 http://library.link/vocab/relatedWorkOrContributorName

 Sloot, Peter M.A.
 Hoekstra, Alfons G.
 SpringerLink
 Series statement
 Understanding Complex Systems,
 Series volume
 0
 http://library.link/vocab/subjectName

 Computer science
 Computer simulation
 Engineering
 Computer Science
 Simulation and Modeling
 Statistical Physics, Dynamical Systems and Complexity
 Computational Science and Engineering
 Computational Intelligence
 Label
 Simulating Complex Systems by Cellular Automata, edited by Jiri Kroc, Peter M.A. Sloot, Alfons G. Hoekstra, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 to Modeling of Complex Systems Using Cellular Automata  Theory of Cellular Automata  Multilevel Cellular Automata as a Tool for Studying Bioinformatic Processes  Complex Automata: Multiscale Modeling with Coupled Cellular Automata  Hierarchical Cellular Automata Methods  Cellular Automata Composition Techniques for Spatial Dynamics Simulation  Problem Solving on OneBitCommunication Cellular Automata  Minimal Cellular Automaton Model of Interspecies Interactions: Phenomenology, Complexity and Interpretations  Cellular Evolutionary Algorithms  Artificial Evolution of Arbitrary SelfReplicating Structures in Cellular Spaces  Applications of Cellular Automata  Game Theoretical Interactions of Moving Agents  Lattice Boltzmann Simulations of Wetting and Drop Dynamics  CA Modeling of AntTraffic on Trails  LatticeGas Cellular Automaton Modeling of Emergent Behavior in Interacting Cell Populations  Cellular Automata for Simultaneous Analysis and Optimal Structural Topology Design  Cellular Automata Software  Parallel Cellular Programming for Emergent Computation
 Dimensions
 unknown
 Extent
 XXI, 384p. 17 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783642122033
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other control number
 10.1007/9783642122033
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783642122033
 Label
 Simulating Complex Systems by Cellular Automata, edited by Jiri Kroc, Peter M.A. Sloot, Alfons G. Hoekstra, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 to Modeling of Complex Systems Using Cellular Automata  Theory of Cellular Automata  Multilevel Cellular Automata as a Tool for Studying Bioinformatic Processes  Complex Automata: Multiscale Modeling with Coupled Cellular Automata  Hierarchical Cellular Automata Methods  Cellular Automata Composition Techniques for Spatial Dynamics Simulation  Problem Solving on OneBitCommunication Cellular Automata  Minimal Cellular Automaton Model of Interspecies Interactions: Phenomenology, Complexity and Interpretations  Cellular Evolutionary Algorithms  Artificial Evolution of Arbitrary SelfReplicating Structures in Cellular Spaces  Applications of Cellular Automata  Game Theoretical Interactions of Moving Agents  Lattice Boltzmann Simulations of Wetting and Drop Dynamics  CA Modeling of AntTraffic on Trails  LatticeGas Cellular Automaton Modeling of Emergent Behavior in Interacting Cell Populations  Cellular Automata for Simultaneous Analysis and Optimal Structural Topology Design  Cellular Automata Software  Parallel Cellular Programming for Emergent Computation
 Dimensions
 unknown
 Extent
 XXI, 384p. 17 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783642122033
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other control number
 10.1007/9783642122033
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783642122033
Subject
 Computational Intelligence
 Computational Science and Engineering
 Computer Science
 Computer Science
 Computer Science
 Computer science
 Computer science
 Computer science
 Computer simulation
 Computer simulation
 Computer simulation
 Electronic resources
 Engineering
 Engineering
 Engineering
 Simulation and Modeling
 Statistical Physics, Dynamical Systems and Complexity
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.bu.edu/portal/SimulatingComplexSystemsbyCellularAutomata/pnQf8acQTHk/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/SimulatingComplexSystemsbyCellularAutomata/pnQf8acQTHk/">Simulating Complex Systems by Cellular Automata, edited by Jiri Kroc, Peter M.A. Sloot, Alfons G. Hoekstra, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>