駆け足で読む『Bio-Inspired Artificial Intelligence』の中身 6. 行動学の系

• 6. Behavioral Systems
• 生命体と環境との相互のやりとりが繰り返されておきる仕組み
  • Autonomous robots 自立型ロボット
  • 6.1 Behavior in Cognitive Science
  • Enactive perceptions 受動的なものではなくて能動性・活動性を伴った感覚・知覚
  • Embodied cognitive science 認識は力学系で説明される動的な作用
  • 6.2 Behavior in Artificial Intelligence
  • 6.3 Behavior-Based Robotics
    • Sensors->Perception->Modeling->Planning->Task Execution->Motor control->Actuators
    • Sensors->{Build map, Look around, Explore, Wander, Avoid collision}->Actuators
    • 6.3.1 Example 1: Navigation of a Mobile Robot
    • 6.3.2 Example 2: An Intelligent Wheelchair
  • 6.4 Biological Inspiration for Robots
    • 6.4.1 Example 1: Vision-based Flying Robots
    • 6.4.2 Example 2: Wheeled Legs
    • 6.4.3 Example 3: Wall Climbing
    • 6.4.4 Example 4 Humanoid Robots
  • 6.5 Robots as Biological Models
    • 6.5.1 Example 1: Song Recognition and Localization
    • 6.5.2 Example 2: Vision-based Homing
    • 6.5.3 Example 3: From Swimming to Walking
  • 6.6 Robot Learning
  • 6.7 Evolution of Behavioral Systems
    • 6.7.1 Example 1: Collision-free Navigation
    • 6.7.2 Example 2: Walking
    • 6.7.3 Example 3: Vision-based Navigation
    • 6.7.4 Example 4: Computational Neuro-Ethology
  • 6.8 Evolution and Learning in Behavioral Systems
    • 6.8.1 Example 1: Evolution of Self-Teaching Controllers
    • 6.8.2 Example 2: Evolution of Learning
    • 6.8.3 Example 3: Evolution of Learning-like Behavior without Synaptic Plasticity
  • 6.9 Evolution and Neural Development in Behavioral Systems
  • 6.10 Coevolution of Body and Control
  • 6.11 Toward Self-Reproduction
  • 6.12 Simulation and Reality
  • 6.13 Closing Remarks
  • 6.14 Suggested Readings