DocumentCode :
2345738
Title :
A Knowledge Request-Broker Architecture for Development of Artificial Social Intelligence
Author :
Khandan, Hamed ; Terano, Takao
Author_Institution :
Dept. of Comput. Intell. & Syst. Sci., Tokyo Inst. of Technol., Yokohama, Japan
fYear :
2010
fDate :
28-30 Sept. 2010
Firstpage :
431
Lastpage :
435
Abstract :
Artificial social intelligence is about making better intelligent systems out of a group of cooperating less intelligent problem solver agents. Better intelligence can be achieved by having expert agent with diverse expertise cooperating and working on the same problem. For that purpose a platform is required, which, in one hand, provides the freedom for developers to implement any form of solution in their agents, and in the other hand, facilitates mutual understanding between heterogeneous agents by standardizing the way they represent and inquire knowledge. While must published works are concerned with one or the other, the Knowledge Request Broker (KRB) system reported in this paper supports both requirements, and is made specifically for intelligent agents. This paper proposes an architecture for KRB, and provides a practical example for its usage in solving curve-fitting problems.
Keywords :
artificial intelligence; curve fitting; expert systems; artificial social intelligence; curve-fitting problems; expert agent; intelligent systems; knowledge request broker system; knowledge request-broker architecture; problem solver agents; Agent Development Platform; Artificial Social Intelligence; Ensemble Methods; Knowledge Request-Broker; Social Problem Solvers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-8652-6
Electronic_ISBN :
978-0-7695-4262-1
Type :
conf
DOI :
10.1109/CIMSiM.2010.26
Filename :
5701885
Link To Document :
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