駆け足で読む『Bio-Inspired Artificial Intelligence』の中身 4. 発生学の系

  • 単位構造から、限定的なルールのみを使って、複雑な構造を作りつつ、可塑性を持つ、集合体形成の仕組み
  • 4. Developmental Systems
    • 4.1 Potential Advantages of a Developmental Representation 発生という変化表出に見られる(人工知能的な)利点
      • 小さくまとまったルール記載が複雑な構造をもたらすこと
      • 個々のルールを再利用する点
      • モジュール構成(部品の組み上げ)
      • 対称性
      • 拡大・拡張性(scalability)
      • 自己組織化
      • 非中央集権的(分散支配的、分権的)なこと
    • 4.2 Rewriting Systems
      • 4.2.1 L-Systems
      • 4.2.2 Showing the Result: Tutle Graphics Interpretation
      • 4.2.3 Circuits and Networks: Graph Interpretation of L-Systems
      • 4.2.4 Plants, Branches, and Subnetworks; Bracketed L-Systems
      • 4.2.5 Variations on a Theme: Stochastic L-Systems
      • 4.2.6 Values and Conditions: Parametric L-Systems
      • 4.2.7 Signals and Regulation: Context-Sensitive L-Systems
      • 4.2.8 Remarks on Rewriting Systems
      • Self-similarlity
    • 4.3 Synthesis of Developmental Systems
    • 4.4 Evolution and Development
    • 4.5 Defining Artificial Evolutionary Developmental Systems
    • 4.6 Evolutionary Rewriting Systems
      • 4.6.1 Binary Representaion
      • 4.6.2 Syntactic Representaion
      • 4.6.3 Example: Matrix Rewriting
      • 4.6.4 Tree-Based Representation
    • 4.7 Evolutionary Developmental Programs
      • 4.7.1 Example: Cellular Encoding
    • 4.8 Evolutionary Developmental Processes
      • 4.8.1 Example: Phenotypic Plasticity
      • 4.8.2 Morphogens 形態形成因子
      • 4.8.3 Example: Morphogenetic System
      • 4.8.4 Intrinsic Artificial Development
      • 4.8.5 Cell Physics
    • 4.9 Closing Remarks
    • 4.10 Suggested Readings