Emerging Intelligence for Next-Generation Intelligent Systems and Control
Author(s) -
Tetsuo Sawaragi
Publication year - 2000
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2000.p0614
Subject(s) - computer science , artificial intelligence , robotics , cognitive science , human–computer interaction , interpreter , data science , coherence (philosophical gambling strategy) , control (management) , semiotics , robot , epistemology , psychology , philosophy , physics , quantum mechanics , programming language
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.
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