Title :
Framework, platform and trends for sociomimetic computing
Author :
Khandan, Hamed ; Terano, Takao
Author_Institution :
Dept. of Comput. Intell. & Syst. Sci., Tokyo Inst. of Technol., Tokyo, Japan
Abstract :
Sociomimetic Computing, as described in this paper, is a computing paradigm inspired by social systems in which computer software is made out of socially cooperative agents as its basic components. To contrast with social simulation which is a computational method for analysis of social system, this paradigm is about synthesizing social systems for computational purposes. This paper describes a framework for this paradigm, and explains Social Regression an example of its practical implementation. It also provides an overview on Knowledge-Request Broker Architecture, which is the platform made to support sociomimetic computing. Being one of the first papers written on this paradigm, it also draws some trends for its future.
Keywords :
multi-agent systems; regression analysis; social sciences computing; software agents; computational method; computer software; knowledge-request broker architecture; social regression; social system analysis; socially cooperative agents; sociomimetic computing platform; Accuracy; Computer architecture; Humans; Organizations; Robots; Software; Training data; autonomous agent; cognitive systems; knowledge engineering; knowledge request-broker architecture; social computational intelligence; social regression; sociomimcry; sociomimetic computing;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8
