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Emerging Intelligence for Next-Generation Intelligent Systems and Control
Tetsuo Sawaragi
Department of Precision Engineering, Graduate School of Engineering, Kyoto University
Received:November 15, 2000Accepted:December 2, 2000Published:December 20, 2000
Keywords:Emergence, Self-organization, Biological systems, Second-order cybernetics, Pragmatism, Semiotics, Symbol grounding, Autonomous systems, Human-robot collaboration
Abstract
This paper presents a general survey on "intelligence" from broad perspectives of living organisms including insects, animals, and humans. After current paradigm shifts commonly occurring in interdisciplinary academic areas are reviewed, we show that the commonly focused interest therein is reconsideration about mutual and inseparable relationships between the external environment and the internal of the agent, that is an actor, an observer, a cognizer, and an interpreter. We emphasize the fact that autonomous systems can be characterized by their self-organizing capabilities driven mainly by internal coherence produced by internal mutual relations among components, rather than described by inputs from an external environment. Then, we introduce the subject of semiotics, a new interdisciplinary branch of science, and its potential contribution to bridging between biological intelligence and machine intelligence. We also describe its relationships with current hot topics of embodiment and symbol grounding often discussed by robotics researchers. Finally, we present our ongoing series of work related to the above topics.
Cite this article as:T. Sawaragi, “Emerging Intelligence for Next-Generation Intelligent Systems and Control,” J. Robot. Mechatron., Vol.12 No.6, pp. 614-627, 2000.Data files:
Copyright© 2000 by Fuji Technology Press Ltd. and Japan Society of Mechanical Engineers. All right reserved.
