Stephen Wolfram's A New Kind of Science | Online

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  • Preface
  • 1 The Foundations for a New Kind of Science
    • 1 An Outline of Basic Ideas
    • 2 Relations to Other Areas
    • 3 Some Past Initiatives
    • 4 The Personal Story of the Science in This Book
  • 2 The Crucial Experiment
    • 1 How Do Simple Programs Behave?
    • 2 The Need for a New Intuition
    • 3 Why These Discoveries Were Not Made Before
  • 3 The World of Simple Programs
    • 1 The Search for General Features
    • 2 More Cellular Automata
    • 3 Mobile Automata
    • 4 Turing Machines
    • 5 Substitution Systems
    • 6 Sequential Substitution Systems
    • 7 Tag Systems
    • 8 Cyclic Tag Systems
    • 9 Register Machines
    • 10 Symbolic Systems
    • 11 Some Conclusions
    • 12 How the Discoveries in This Chapter Were Made
  • 4 Systems Based on Numbers
    • 1 The Notion of Numbers
    • 2 Elementary Arithmetic
    • 3 Recursive Sequences
    • 4 The Sequence of Primes
    • 5 Mathematical Constants
    • 6 Mathematical Functions
    • 7 Iterated Maps and the Chaos Phenomenon
    • 8 Continuous Cellular Automata
    • 9 Partial Differential Equations
    • 10 Continuous Versus Discrete Systems
  • 5 Two Dimensions and Beyond
    • 1 Introduction
    • 2 Cellular Automata
    • 3 Turing Machines
    • 4 Substitution Systems and Fractals
    • 5 Network Systems
    • 6 Multiway Systems
    • 7 Systems Based on Constraints
  • 6 Starting from Randomness
    • 1 The Emergence of Order
    • 2 Four Classes of Behavior
    • 3 Sensitivity to Initial Conditions
    • 4 Systems of Limited Size and Class 2 Behavior
    • 5 Randomness in Class 3 Systems
    • 6 Special Initial Conditions
    • 7 The Notion of Attractors
    • 8 Structures in Class 4 Systems
  • 7 Mechanisms in Programs and Nature
    • 1 Universality of Behavior
    • 2 Three Mechanisms for Randomness
    • 3 Randomness from the Environment
    • 4 Chaos Theory and Randomness from Initial Conditions
    • 5 The Intrinsic Generation of Randomness
    • 6 The Phenomenon of Continuity
    • 7 Origins of Discreteness
    • 8 The Problem of Satisfying Constraints
    • 9 Origins of Simple Behavior
  • 8 Implications for Everyday Systems
    • 1 Issues of Modelling
    • 2 The Growth of Crystals
    • 3 The Breaking of Materials
    • 4 Fluid Flow
    • 5 Fundamental Issues in Biology
    • 6 Growth of Plants and Animals
    • 7 Biological Pigmentation Patterns
    • 8 Financial Systems
  • 9 Fundamental Physics
    • 1 The Problems of Physics
    • 2 The Notion of Reversibility
    • 3 Irreversibility and the Second Law of Thermodynamics
    • 4 Conserved Quantities and Continuum Phenomena
    • 5 Ultimate Models for the Universe
    • 6 The Nature of Space
    • 7 Space as a Network
    • 8 The Relationship of Space and Time
    • 9 Time and Causal Networks
    • 10 The Sequencing of Events in the Universe
    • 11 Uniqueness and Branching in Time
    • 12 Evolution of Networks
    • 13 Space, Time and Relativity
    • 14 Elementary Particles
    • 15 The Phenomenon of Gravity
    • 16 Quantum Phenomena
  • 10 Processes of Perception and Analysis
    • 1 Introduction
    • 2 What Perception and Analysis Do
    • 3 Defining the Notion of Randomness
    • 4 Defining Complexity
    • 5 Data Compression
    • 6 Irreversible Data Compression
    • 7 Visual Perception
    • 8 Auditory Perception
    • 9 Statistical Analysis
    • 10 Cryptography and Cryptanalysis
    • 11 Traditional Mathematics and Mathematical Formulas
    • 12 Human Thinking
    • 13 Higher Forms of Perception and Analysis
  • 11 The Notion of Computation
    • 1 Computation as a Framework
    • 2 Computations in Cellular Automata
    • 3 The Phenomenon of Universality
    • 4 A Universal Cellular Automaton
    • 5 Emulating Other Systems with Cellular Automata
    • 6 Emulating Cellular Automata with Other Systems
    • 7 Implications of Universality
    • 8 The Rule 110 Cellular Automaton
    • 9 The Significance of Universality in Rule 110
    • 10 Class 4 Behavior and Universality
    • 11 The Threshold of Universality in Cellular Automata
    • 12 Universality in Turing Machines and Other Systems
  • 12 The Principle of Computational Equivalence
    • 1 Basic Framework
    • 2 Outline of the Principle
    • 3 The Content of the Principle
    • 4 The Validity of the Principle
    • 5 Explaining the Phenomenon of Complexity
    • 6 Computational Irreducibility
    • 7 The Phenomenon of Free Will
    • 8 Undecidability and Intractability
    • 9 Implications for Mathematics and Its Foundations
    • 10 Intelligence in the Universe
    • 11 Implications for Technology
    • 12 Historical Perspectives
  • Notes

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Structures in Class 4 Systems
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