Quantitative Emergence

Author

Mnif, M. ; Müller-Schloer, C.

Author_Institution

Inst. of Syst. Eng., Hannover Univ.

fYear

2006

fDate

24-26 July 2006

Firstpage

78

Lastpage

84

Abstract

Emergence can be defined as the formation of order from disorder based on self-organization. Humans -by looking at a self-organizing system - can decide intuitively whether emergence was taking place or not. To build self-organizing technical systems we need to automate the recognition of emergent behavior. In this paper we try to give a quantitative and practically usable definition of emergence. The presented theoretical approach is applied to an experimental environment, which shows emergent behavior. An observer/controller architecture with emergence-detectors is introduced. The proposed definition of emergence is discussed in comparison with Shannon´s information theoretical approach

Keywords

information theory; observers; self-adjusting systems; Shannon information theoretical; controller architecture; emergence-detectors; observer; quantitative emergence; self-organizing system; Automatic control; Books; Computational modeling; Computer architecture; Computer simulation; Electronic mail; Entropy; Humans; Internet; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Adaptive and Learning Systems, 2006 IEEE Mountain Workshop on

Conference_Location

Logan, UT

Print_ISBN

1-4244-0166-6

Type

conf

DOI

10.1109/SMCALS.2006.250695

Filename

4016766