INNATE SOCIABILITY - SELF-BIASED CONDITIONING

Authors
Citation
C. Numaoka, INNATE SOCIABILITY - SELF-BIASED CONDITIONING, Applied artificial intelligence, 12(7-8), 1998, pp. 619-647
Citations number
34
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence","Engineering, Eletrical & Electronic
ISSN journal
08839514
Volume
12
Issue
7-8
Year of publication
1998
Pages
619 - 647
Database
ISI
SICI code
0883-9514(1998)12:7-8<619:IS-SC>2.0.ZU;2-Z
Abstract
This article investigates fundamental requirements of an architectural framework on which social intelligence could be developed and propose s the self-biased (SB) conditioning scheme as a basis for development of social intelligence. The objective of SB conditioning is to develop a set of secondary responses in a social context. SE conditioning req uires two kinds of components: a set of primary response networks and an associative memory. A primary response network is unique in this co nditioning scheme. It includes three types of components: an activatio n node, an expectation node, and a motor center. This network, by its expectation node, presupposes an involvement by others, in a social co ntext, and therefore it can be a basis of social intelligence. A few e xamples of social intelligence are shown with this SE conditioning sch eme: ''eagle alarm'' call learning, attachment behavior, and sympathet ic coupling. The topic of situated personal assistance is also introdu ced in relation to the proposed scheme.