On the Use of Randomization for System of Systems (SoS) Design of Intelligent Machines

Author

Rubin, Stuart ; Lee, Gordon K.

Author_Institution

SPA WAR Syst. Center, San Diego

fYear

2006

fDate

24-26 July 2006

Firstpage

1

Lastpage

6

Abstract

This paper takes a system of systems (SoS) approach to the realization of machine intelligence. Random differences are learned by the system, generalized, and made available for subsequent replay in design transformations. It is empirically demonstrated that cross-domain symmetries can play a major role in design generation in particular and in the design of SoSs in general. The fundamental theory of randomization is the science, which underpins the practice. The approach is illustrated by an example of the design of a refrigeration system.

Keywords

knowledge acquisition; learning (artificial intelligence); random processes; cross-domain symmetry; design transformation; intelligent machines; machine intelligence; random difference learning; refrigeration system; system of systems design; Computational and artificial intelligence; Design engineering; Evolution (biology); Humans; Intelligent robots; Intelligent sensors; Intelligent systems; Learning systems; Machine intelligence; Machine learning algorithms; Heuristics; KASER; Randomization; Symmetry; System of Systems (SoS);

fLanguage

English

Publisher

ieee

Conference_Titel

Automation Congress, 2006. WAC '06. World

Conference_Location

Budapest

Print_ISBN

1-889335-33-9

Type

conf

DOI

10.1109/WAC.2006.376014

Filename

4259930