Guest Editorial Special Issue on Human-Like Intelligence and Robotics

Abstract

The papers in this special section presents state-of-the-art research in the area of human-level artificial intelligence and robotic systems from a complex systems perspective. These papers aim to explore questions such as: What is a reasonable cognitive framework? How to build an embodied robotics system? How complex is human-level intelligence? What kinds of subsystems must be integrated to achieve human-level intelligence? To what degree does human-level intelligence rely on emergent properties? To what extent is complexity science (attractors, self-organizing criticality, network theory, and so on) useful for understanding human-level intelligence? To what extent can human-level intelligence be achieved by integrating components that have been engineered, tested, and perhaps commercially deployed for other, more specialized purposes?