基本説明
Subseries: Lecture Notes in Artificial Intelligence.
Full Description
Originating from a Dagstuhl seminar, the collection of papers presented in this book constitutes on the one hand a representative state-of-the-art survey of embodied artificial intelligence, and on the other hand the papers identify the important research trends and directions in the field.
Following an introductory overview, the 23 papers are organized into topical sections on
- philosophical and conceptual issues
- information, dynamics, and morphology
- principles of embodiment for real-world applications
- developmental approaches
- artificial evolution and self-reconfiguration
Contents
Philosophical and Conceptual Issues.- Embodied Artificial Intelligence: Trends and Challenges.- Embodied AI as Science: Models of Embodied Cognition, Embodied Models of Cognition, or Both?.- The Future of Embodied Artificial Intelligence: Machine Consciousness?.- Do Real Numbers Really Move? Language, Thought, and Gesture: The Embodied Cognitive Foundations of Mathematics.- Information, Dynamics, Morphology.- Information-Theoretical Aspects of Embodied Artificial Intelligence.- Robot Bouncing: On the Synergy Between Neural and Body-Environment Dynamics.- The Need to Adapt and Its Implications for Embodiment.- How Should Control and Body Systems Be Coupled? A Robotic Case Study.- Self-Stabilization and Behavioral Diversity of Embodied Adaptive Locomotion.- Principles of Embodiment for Real-World Applications.- Removing Some 'A' from AI: Embodied Cultured Networks.- Mutual Adaptation in a Prosthetics Application.- A Human-Like Robot Hand and Arm with Fluidic Muscles: Biologically Inspired Construction and Functionality.- Agent-Environment Interaction in Visual Homing.- Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples.- Developmental Approaches.- From Humanoid Embodiment to Theory of Mind.- Robot Finger Design for Developmental Tactile Interaction.- The Autotelic Principle.- Toward a Cognitive System Algebra: Application to Facial Expression Learning and Imitation.- Maximizing Learning Progress: An Internal Reward System for Development.- You Did It on Purpose! Towards Intentional Embodied Agents.- Towards Imitation Learning from a Viewpoint of an Internal Observer.- Artificial Evolution and Self-Reconfiguration.- On Evolutionary Design, Embodiment, and Artificial Regulatory Networks.- Evolution of Embodied Intelligence.- Self-ReconfigurableRobots: Platforms for Emerging Functionality.
