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The Resource ISCS 2014 : Interdisciplinary Symposium on Complex Systems

ISCS 2014 : Interdisciplinary Symposium on Complex Systems

Label
ISCS 2014 : Interdisciplinary Symposium on Complex Systems
Title
ISCS 2014
Title remainder
Interdisciplinary Symposium on Complex Systems
Creator
Contributor
Subject
Language
eng
Summary
The book you hold in your hands is the outcome of the "2014 Interdisciplinary Symposium on Complex Systems" held in the historical city of Florence. The book consists of 37 chapters from 4 areas of Physical Modeling of Complex Systems, Evolutionary Computations, Complex Biological Systems and Complex Networks. All 4 parts contain contributions that give interesting point of view on complexity in different areas in science and technology. The book starts with a comprehensive overview and classification of complexity problems entitled Physics in the world of ideas: Complexity as Energy" , followed by chapters about complexity measures and physical principles, its observation, modeling and its applications, to solving various problems including real-life applications. Further chapters contain recent research about evolution, randomness and complexity, as well as complexity in biological systems and complex networks. All selected papers represent innovative ideas, philosophical overviews and state-of-the-art discussions on aspects of complexity. The book will be useful as an instructional material for senior undergraduate and entry-level graduate students in computer science, physics, applied mathematics and engineering-type work in the area of complexity. The book will also be valuable as a resource of knowledge for practitioners who want to apply complexity to solve real-life problems in their own challenging application
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Emergence, Complexity and Computation Ser.
Series volume
v.14
ISCS 2014 : Interdisciplinary Symposium on Complex Systems
Label
ISCS 2014 : Interdisciplinary Symposium on Complex Systems
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=1802510
Publication
Copyright
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Contents -- Part I: Physical Modeling of Complex Systems -- Physics in the World of Ideas: Complexity as Energy -- 1 Complexity as Energy -- 1.1 Energy, Partition Function and Hamiltonian Evolution -- 1.2 Constructive Worlds -- 1.3 Kolmogorov Complexity of Constructive Objects -- 1.4 Fractality and Symmetries of the Kolmogorov Complexity -- 2 Probability Distributions on Constructive Worlds and Zipf's Law -- 2.1 Zipf's Law -- 2.2 Zipf's Law from Complexity -- 3 Error-Correcting Codes and Their Asymptotic Bounds -- 3.1 Codes and Code Points -- 3.2 Can One Compute an Asymptotic Bound? -- 3.3 A Brief Survey of Some Known Results -- References -- Complexity Measures and Physical Principles -- 1 Introduction -- 2 Measures of Complexity -- 3 Finding an Optimal Model under Constraints -- 4 Discussion -- References -- Collective Dynamics in Neural Networks -- 1 Introduction -- References -- Transient Sequences in a Network of Excitatory Coupled Morris-Lecar Neurons -- 1 Introduction -- 2 Model -- 3 Synaptic Coupling Dynamics -- 4 Oscillatory Metastable States -- 5 Transient Sequences -- 6 Conclusion -- References -- The Development of Chemical Artificial Intelligence Processing Fuzzy Logic -- 1 Introduction -- 2 Computational and Algorithmic Analysis of Human Nervous System -- 3 Chromogenic Materials as Artificial Sensory Elements to Process Fuzzy Logic -- 4 Excitable and Oscillatory Reactions as Prototypes of Artificial Neurons -- 5 Conclusion -- References -- Weak Sensitivity to Initial Conditions for Generating Temporal Patterns in Recurrent Neural Networks: A Reservoir Computing Approach -- 1 Introduction -- 2 Model and Method -- 3 Numerical Simulations and Results -- 4 Conclusion -- References -- Synchronization and Control in Modular Networks of Spiking Neurons -- 1 Introduction -- 2 Map-Based Model of Neural Activity
  • 3 Modular Network with Inhibitory Coupling -- 4 Modular Networks with Excitatory Delayed Coupling -- 5 Conclusions -- References -- Birth-Death Models of Information Spread in Structured Populations -- 1 Introduction -- 2 Birth-Death Models and the Moran Process -- References -- Coexistence of Deterministic and Stochastic Bistability in a 1-D Birth-Death Process with Hill Type Nonlinear Birth Rates -- 1 Introduction -- 2 Reduced ODE lac Operon Model -- 3 Reduced CME lac Operon Model -- 4 A Comparative Study on a Benchmark 1-D Birth Death Model -- 5 Conclusion -- References -- Intellectualized Home Environment as a Complex System -- 1 Introduction: State-of-the-Art -- 2 IHE: The Descriptive Approach -- 3 Intellectual Complex Systems Model Implementation -- 4 Experimental Simulation Results -- 5 Concluding Remarks -- References -- Desertification Transition in Semi-arid Ecosystems and Directed Percolation -- 1 Introduction -- 2 Model and Discussion -- 3 Conclusions -- References -- Lognormality Observed for Additive Processes: Application to Turbulence -- 1 Introduction -- 2 Condition for Additive Processes -- 3 Example: Gamma Distribution -- 4 Application: Fluid Turbulence -- 5 Conclusion and Prospects -- References -- The Prediction of Tropospheric Ozone Using a Radial Basis Function Network -- 1 Introduction -- 2 Artificial Neural Networks -- 2.1 Radial Basis Function Network -- 2.2 Training Algorithm -- 3 Case Study -- 3.1 Input Data -- 3.2 Description of Model -- Parameter Unit -- 3.3 Network Training -- 3.4 Testing Results -- 4 Conclusion -- References -- Physical Experiments and Stochastic Modeling to Clarify the System Containing the Seismic Source and the Ground -- 1 Introduction -- 2 The Measuring Equipment -- 3 Physical Experim ments -- 4 Automatic Proc essing of Experimental Data -- 5 A Proposed Stochastic Analysis
  • 6 A Comparison of Results for One Selected Signal and for Series of Repeating Signals -- 7 Conclusion -- References -- Cosmology 2.0: Convergent Implication of Cryodynamics and Global-c General Relativity -- 1 Introduction -- 2 Cryodynamics -- 3 Global- -- General Relativity -- 4 Convergent Implications for Cosmology -- 5 Discussion -- References -- Hidden Quantum Markov Models and Open Quantum Systems with Instantaneous Feedback -- 1 Introduction -- 2 Hidden Quantum Markov Models -- 3 Open Quantum Systems -- 4 Open Quantum Systems as HQMMs -- 4.1 Energy Exchange with Bath and Environment -- 4.2 No Energy Exchange between Bath and Environment -- 4.3 Comparison of Kraus Operators -- 5 Conclusions -- References -- An Efficient Strategy to Handle Complex Datasets Having Multimodal Distribution -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Feature Selection -- 3.2 Clustering Phase -- 3.3 Classification Phase -- 4 Experimental Results -- 5 Evaluation -- 6 Conclusions -- References -- Maximum Likelihood Estimation and Integration Algorithm for Modeling Complex Systems -- 1 Introduction -- 2 Holonomic Gradient Descent (HGD) -- 2.1 The Gradient Descent Method and Its Computational -- 2.2 Holonomic Functions and Their Computational Superiority -- 2.3 Holonomic Function and Calculation of the Groebner Basis -- 2.4 Examples of Holonomic Functions -- 2.5 Maximum Value of the Holonomic Function and the System of -- 3 Integration Algorithm -- 3.1 Variable Transformation of the Normalization Constant of a -- 3.2 Integration Algorithm for -- 4 Conclusion -- References -- On Dynamics of an Electromechanical System Supported by Cylindrical Helical Spring Damped by an Impact Damper -- 1 Introduction -- 2 The Vibrating System -- 3 MainResults -- 4 Conclusions -- References -- Petri Net Models of Purposeful Complex Dynamic Systems -- 1 Introduction
  • 2 Synthetic Microanalysis of Purposeful Complex Dynamic Systems -- 3 A Petri Net Model for Purposeful Complex Dynamic Systems -- 4 Conclusions -- References -- Part II: Evolutionary Computations -- Does Evolutionary Dynamics Need Randomness, Complexity or Determinism? -- 1 Introduction -- 2 Existing Experiment Results -- 3 Evolution as a Feedback Loop Control? -- 4 Conclusion -- References -- A Brief Survey on the Chaotic Systems as the Pseudo Random Number Generators -- 1 Introduction -- 2 Motivation -- 3 The Concept of CPRNG -- 4 Discrete Chaotic c Maps -- 4.1 Burgers Map -- 4.2 Dissipative Standar rd Map -- 5 Time-us Continuou Chaotic Systems -- 5.1 UEDA Oscillator -- 5.2 Van der Pol Oscilla ator -- 6 Conclusion -- References -- Emergent Behaviors on Coevolutionary Networks of Chaotic Dynamical Systems -- 1 Introduction -- 2 ModelDescription -- 3 Simulation Results -- 4 Conclusions -- References -- Chaos Driven PSO - On the Influence of Various CPRNG Implementations - An Initial Study -- 1 Introduction -- 2 Motivation -- 3 Particle Swarm Optimization -- 4 Chaotic Maps -- 4.1 Lozi Map -- 4.2 Burgers Chaotic Map -- 5 CPRNG Implementation -- 6 Test Functions -- 6.1 Sphere Function -- 6.2 Schwefeĺs Function -- 7 Experiment Setup -- 7.1 Notation -- 8 Results -- 9 Brief Analysis of the Results -- 10 Conclusion -- References -- Evolutionary Based ARIMA Models for Stock Price Forecasting -- 1 Introduction -- 2 Experiment Design -- 2.1 Data Set -- 3 Analysis of Historical Data -- 4 Genetic Algorithm Approach for Model Building -- 5 PSO Approach for Parameters Estimation -- 6 Conclusions -- References -- On Some False Chaos Indicators When Analyzing Sampled Data -- 1 Introduction -- 2 Preliminaries -- 3 Geometrical Similarity with Lorenz Attractor -- 4 Lyapunov Exponent of Sampled Data -- 5 Conclusions -- References -- Part III: Complex Biological Systems
  • Multifractality in Imaging: Application of Information Entropy for Observation of Inner Dynamics Inside of an Unlabeled Living Cell in Bright-Field Microscopy -- 1 Introduction -- 2 Results and Discussion -- 2.1 Image Processing -- 2.2 Analysis of Zero Digital Levels of PDG-Transformed Images -- References -- Trajectory Tracking for Genetic Networks Using Control Theory -- References -- Modeling and Optimization of Microalgae Growth in Photobioreactors: A Multidisciplinary Problem -- 1 Introduction -- 2 State and Fluid-Dynamic Models -- 2.1 State Model -- 2.2 Fluid-Dynamic Model -- 2.3 Numerical Aspects of the Solution of PDEs (1-2) -- 2.4 Process Control and Optimization of Design and Operational -- 3 Case Study - Microalgae Growth in CTBR -- 3.1 Model of Photosynthetic Factory - PSF Model -- 3.2 Simulation Results and Discussion -- 4 Conclusions and Future Prospects -- References -- Digital Processing of Toxoplasma gondii Cysts in Meat Samples for Human Consumption in Colombia -- 1 Introduction -- 2 Materials and M Methods -- 3 Results -- 4 Conclusions -- References -- Modeling of Tumour Growth Induced by Circadian Rhythm Disruption in Epithelial Tissue -- 1 Introduction -- 2 Cellular Model of Epithelial Tissue -- 3 Submodel of Circadian Rhythms -- 4 Submodel of Differentiation of Cells -- 5 Numerical Simulations -- 6 Discussion and Conclusions -- References -- Part IV: Complex Networks -- Comparing Overlapping Properties of Real Bipartite Networks -- 1 Introduction -- 2 Background -- 2.1 Dataset -- 2.2 Bipartite Graphs -- 3 Analysis of the Bipartite Structure -- 3.1 A Global Perspective -- 3.2 Analysis of the Overlapping Structure -- 4 Conclusion -- References -- Risk Perception and Epidemic Spreading in Multiplex Networks -- 1 Introduction -- 2 TheNetworkModel -- 3 Infection Model and Mean-Field Approximation
  • 4 The Self-organized Percolation Method
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unknown
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{'f': 'http://opac.lib.rpi.edu/record=b4382841'}
Edition
1st ed.
Extent
1 online resource (362 pages)
Form of item
online
Isbn
9783319107592
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

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