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Investigations into Living Systems, Artificial Life, and Real-World Solutions

Book Description

Research on living systems, human level artificial systems, and machines that exhibit intelligent behavioral characteristics is fundamental in order to tackle complex and dynamic issues in nature and create applicable solutions. Investigations into Living Systems, Artificial Life, and Real-World Solutions provides original research on the theoretical and applied aspects of artificial life, as well as addresses scientific, psychological, and social issues of synthetic life-like behavior and abilities. This book is essential for researchers, students, and scientists interested in the emerging discipline of artificial life to further understand and solve real-world problems.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  5. Preface
    1. SECTION 1: ANALYSIS AND MODELLING OF LIVING SYSTEMS
    2. SECTION 2: MATHEMATICAL AND ANALYTICAL TECHNIQUES WITH APPLICATIONS
    3. SECTION 3: INTELLIGENT INFORMATION PROCESSING AND APPLICATIONS
  6. Section 1: Analysis and Modelling of Living Systems
    1. Chapter 1: Resistance of Cell in Fractal Growth in Electrodeposition
      1. ABSTRACT
      2. 1.1 INTRODUCTION
    2. Chapter 2: Propagation of Front Waves in Myelinated Nerve Fibres
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. EQUATION OF PROPAGATION
      4. 3. APPLICATION TO ELECTRICAL TRANSMISSION LINES WITH LINEAR AND NONLINEAR PORTIONS
      5. 4. CONCLUSION
    3. Chapter 3: What Does Artificial Life Tell Us About Death?
      1. ABSTRACT
      2. 1. LIFE AS PROCESS/ORGANIZATION
      3. 2. DIFFERENT NOTIONS OF LIFE AND DEATH
      4. 3. LIFE, MIND, AND DEATH
      5. 4. THE VALUE OF LIFE
      6. 5. THE FUTURE
    4. Chapter 4: A Constructive Approach to the Evolution of the Planning Ability
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE MODEL
      4. 3. BASIC EXPERIMENTS
      5. 4. EVOLUTIONARY EXPERIMENTS
      6. 5. CONCLUSION AND DISCUSSION
    5. Chapter 5: Noise Power Spectrum for Firecrackers
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. CONCLUSION
    6. Chapter 6: Traffic Noise
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. CONCLUSION
  7. Section 2: Mathematical and Analytical Techniques with Applications
    1. Chapter 7: Existence of Positive Solutions for Generalized p-Laplacian BVPs
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PRELIMINARIES AND LEMMAS
      4. 3. EXISTENCE OF AT LEAST ONE POSITIVE SOLUTION OF (BVP)
    2. Chapter 8: Mathematical Model to Assess the Relative Effectiveness of Rift Valley Fever Countermeasures
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. METHODS
      4. 3. RESULTS AND INTERPRETATION
      5. 4. CONCLUSION
    3. Chapter 9: Resource Distribution Strategies for Mitigation of Cross-Regional Influenza Pandemics
      1. ABSTRACT
      2. 1. INTRODUCTION AND MOTIVATION
      3. 2. SIMULATION OPTIMIZATION METHODOLOGY
      4. 3. TESBED
      5. 4. CONCLUSION
    4. Chapter 10: A Computational Model of Mitigating Disease Spread in Spatial Networks
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE SYSTEM MODEL
      4. 3. THE RESULTS
      5. 4. SPATIAL AND TEMPORAL FEATURES OF THE DAMAGE DYNAMICS
      6. 5. RESULT ANALYSIS ON MODEL PARAMETERS
      7. 7. SUMMARY AND FUTURE WORK
    5. Chapter 11: Simulating the Spread of an Epidemic in a Small Rural Kansas Town
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. SIMULATING THE SPREAD OF A DISEASE USING CONTACT NETWORKS
      4. 3. SIMULATION EXAMPLES
      5. 4. ASSESSING MITIGATION TECHNIQUES
      6. 5. CONCLUSION AND FUTURE WORK
    6. Chapter 12: A Structural Model to Investigate Factors Affect Patient Satisfaction and Revisit Intention in Jordanian Hospitals
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. CONCEPTUAL FRAMEWORK
      4. 3. RESEARCH RESULTS
      5. 4. CONCLUSION
    7. Chapter 13: Generating Fully Bounded Chaotic Attractors
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. SOME DYNAMICAL PROPERTIES
      4. 3. CLASSIFICATION BASED ON THE NUMBER OF NONLINEARITIES
      5. 4. CONCLUSION
    8. Chapter 14: Orbit of an Image Under Iterated System II
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PRELIMINARIES
      4. 3. SUPERIOR ORBITAL PICTURES FOR NON-CONTRACTIVE TRANSFORMATIONS
      5. 4. CONCLUDING REMARKS
      6. 5. PROGRAM CODE
    9. Chapter 15: Superior Koch Curve
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PRELIMINARIES
      4. 3. SUPERIOR KOCH CURVE
      5. 4. CONCLUSION
      6. 5. ALGORITHM
  8. Section 3: Intelligent Information Processing and Applications
    1. Chapter 16: Mitigation Strategies for Foot and Mouth Disease
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. MODEL DESCRIPTION
      4. 3. EXPERIMENTAL DATA
      5. 4. STATISTICS FOR MODEL PARAMETERIZATION
      6. 5. NEURAL-NETWORK MODEL
      7. 6. AUTOREGRESSIVE MODEL
      8. 7. BAYESIAN NETWORK MODEL
      9. 8. MONTE-CARLO SIMULATIONS
      10. 9. MODEL ANALYSIS
      11. 10. PRACTICAL MITIGATION
      12. 11. RESULTS
      13. 12. IMPACT OF PREDICTION ERRORS ON MITIGATION
      14. 13. CONCLUSION AND DISCUSSION
      15. APPENDIX
    2. Chapter 17: Considerations on Strategies to Improve EOG Signal Analysis
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. METHODOLOGY
      4. 3. RESULTS AND DISCUSSION
      5. 4. IMPLEMENTATION
      6. 5. EVALUATION
      7. 6. CONCLUSION
    3. Chapter 18: An Autonomous Multi-Agent Simulation Model for Acute Inflammatory Response
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BIOLOGICAL MECHANISM OF ACUTE INFLAMMATORY RESPONSE
      4. 3. AN AGENT-BASED MODEL (ABM) EMBEDDED WITH SYSTEM DYNAMICS MATHEMATICAL MODEL
      5. 4. IMPLEMENTATION OF THE AGENT-BASED MODEL
      6. 5. PREDICTIVE RESULTS OF THE SIMULATION MODEL
      7. 6. SENSITIVITY ANALYSIS OF THE AGENT-BASED MODEL
      8. 7. DISCUSSION AND CONCLUSION
    4. Chapter 19: Rough Set Based Clustering Using Active Learning Approach
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BACKGROUND
      4. 3. ACTIVE LEARNING USING ROUGH SET BASED CLUSTERING
      5. 4. EXPERIMENTAL RESULTS
      6. 5. CONCLUSION
    5. Chapter 20: Intuitionistic Fuzzy 2-Metric Space and Some Topological Properties
      1. ABSTRACT
      2. 1. INTRODUCTION AND PRELIMINARIES
      3. 2. INTUITIONISTIC FUZZY 2-METRIC SPACE
      4. 3. PRECOMPACTNESS IN INTUITIONISTIC FUZZY 2-METRIC SPACES3. PRECOMPACTNESS IN INTUITIONISTIC FUZZY 2-METRIC SPACES
      5. 4. INTUITIONISTIC FUZZY 2-METRIZABILITY
    6. Chapter 21: Folding Theory for Fantastic Filters in BL-Algebras
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PRELIMINARIES
      4. 3. N-FOLD FANTASTIC FILTER
      5. 4. FUZZY N-FOLD FANTASTIC FILTERS
      6. 5. CONCLUSION
      7. Appendix
    7. Chapter 22: An Observer Approach for Deterministic Learning Using Patchy Neural Networks with Applications to Fuzzy Cognitive Networks
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. CONCLUSION
      4. APPENDIX
  9. Compilation of References
  10. About the Contributors