Author
Taniguchi, T., Uğur, E., Hoffmann, M., Jamone, L., Nagai, T., Rosman, B., Matsuka, T., Iwahashi, N., Öztop, Erhan, Piater, J., Worgotter, F.
Publication Date
2019-12
Publication Place
-
IEEE
Subject
Artificial intelligence (AI), Developmental robotics, Language acquisition, Symbol emergence, Symbol grounding
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
2379-8920
Record ID
262e0e8a-7a7e-4230-8e31-cfc4c5001e0f
Library Location
Computer Science
Date
2019-12
Notes
The Grants-in-Aid for Young Scientists (A) under Grant 15H05319, in part by the Grant-in-Aid for Scientific Research (B) under Grant 18H03308, and in part by the Scientific Research on Innovative Areas through the Ministry of Education, Culture, Sports, Science, and Technology, Japan, and CREST, JST under Grant 16H06569. The work of E. Ugur and J. Piater was supported by the European Unions H2020 Research and Innovation Programme under Grant 731761 (IMAGINE). The work of M. Hoffmann was supported by the Czech Science Foundation under Project GA17-15697Y. The work of F. Worgotter was supported by the European H2020 Programme under Grant 732266 (Plan4Act).
Sample Text
Humans use signs, e.g., sentences in a spoken language, for communication and thought. Hence, symbol systems like language are crucial for our communication with other agents and adaptation to our real-world environment. The symbol systems we use in our human society adaptively and dynamically change over time. In the context of artificial intelligence (AI) and cognitive systems, the symbol grounding problem has been regarded as one of the central problems related to symbols. However, the symbol grounding problem was originally posed to connect symbolic AI and sensorimotor information and did not consider many interdisciplinary phenomena in human communication and dynamic symbol systems in our society, which semiotics considered. In this paper, we focus on the symbol emergence problem, addressing not only cognitive dynamics but also the dynamics of symbol systems in society, rather than the symbol grounding problem. We first introduce the notion of a symbol in semiotics from the humanities, to leave the very narrow idea of symbols in symbolic AI. Furthermore, over the years, it became more and more clear that symbol emergence has to be regarded as a multifaceted problem. Therefore, second, we review the history of the symbol emergence problem in different fields, including both biological and artificial systems, showing their mutual relations. We summarize the discussion and provide an integrative viewpoint and comprehensive overview of symbol emergence in cognitive systems. Additionally, we describe the challenges facing the creation of cognitive systems that can be part of symbol emergence systems.
DOI
10.1109/TCDS.2018.2867772
Cilt
11
