DocumentCode :
394428
Title :
Evolution of human communication method from vocal signals associated with gesture to syntactic language
Author :
Tanaka, Kenji ; Zheng, MeiHong ; Kashimori, Yoshiki ; Kambara, Takeshi
Author_Institution :
Graduate Sch. of Inf. Syst., Univ. of Electro-Commun., Tokyo, Japan
Volume :
4
fYear :
2002
fDate :
18-22 Nov. 2002
Firstpage :
1941
Abstract :
To investigate the problem of how and why most members in a primeval society become using vocal signals to represent non-substantial matters such as actions, we present a simple model of communication in which speakers use vocal signals and gestures. Each desire of the speaker is represented by an expression network. Every speaker expresses his or her desire by vocal signals and gestures. Then, any speaker´s desire is expressed in a three step signal. When every hearer communicates with a speaker, the hearer receives the speaker´s signal by his and her own hearing neural network. At the beginning of the evolutional process, the correspondence relation between desire and signal is different for different speakers. Whether the common relations are evolved in the society or not depend mainly on the number of temporally preserving neurons in the network and reward of communication.
Keywords :
evolutionary computation; gesture recognition; natural languages; neural nets; speech processing; evolutional process; expression network; gesture to syntactic language; hearing neural network; human communication method evolution; temporally preserving neurons; vocal signals; Animals; Auditory system; Chemistry; Educational institutions; Humans; Information systems; Natural languages; Neural networks; Physics; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
Type :
conf
DOI :
10.1109/ICONIP.2002.1199012
Filename :
1199012
Link To Document :
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