Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/221866
Title: Guest Editorial Special Issue on Human-Like Intelligence and Robotics
Authors: Min Jiang;Jacek Ma&x0144;dziuk;Ben Goertzel;Naoyuki Kubota
Year: 2017
Publisher: IEEE
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?
URI: http://localhost/handle/Hannan/221866
volume: 11
issue: 3
More Information: 1269,
1271
Appears in Collections:2017

Files in This Item:
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7918568.pdf184.09 kBAdobe PDF
Title: Guest Editorial Special Issue on Human-Like Intelligence and Robotics
Authors: Min Jiang;Jacek Ma&x0144;dziuk;Ben Goertzel;Naoyuki Kubota
Year: 2017
Publisher: IEEE
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?
URI: http://localhost/handle/Hannan/221866
volume: 11
issue: 3
More Information: 1269,
1271
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7918568.pdf184.09 kBAdobe PDF
Title: Guest Editorial Special Issue on Human-Like Intelligence and Robotics
Authors: Min Jiang;Jacek Ma&x0144;dziuk;Ben Goertzel;Naoyuki Kubota
Year: 2017
Publisher: IEEE
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?
URI: http://localhost/handle/Hannan/221866
volume: 11
issue: 3
More Information: 1269,
1271
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7918568.pdf184.09 kBAdobe PDF