Paper Info
Title
Designing Knowledge Based Systems as Complex Adaptive Systems
Abstract
The paper proposes that knowledge based systems must be designed as complex adaptive systems and any other approach is not fundamental, even if sometimes it yields good results. Complex systems are characterized as having global behavior not always explainable from local behavior. Here we propose that the way we perceive knowledge in AI needs to change to Complex Adaptive, hence the need for a paradigm shift is stressed. Almost all historical KBS were not complex systems in an authentic sense. But it is not a good idea to criticize them because with available resources and theories, they did their best. Sooner or later, we will have to design our KBS as complex adaptive systems, so why not sooner. There are three mechanisms that must be part of any knowledge based system, viz., Interdependency and fluidity, mechanisms for attribution of emergent properties and self-organization.
Year
Venue
Keywords
2008
AGI
complex adaptive system,complex adaptive systems,available resource,designing knowledge,complex adaptive,complex system,good idea,global behavior,authentic sense,local behavior,historical kbs,good result,knowledge based systems,self organization,knowledge based system,paradigm shift,emergent properties
Field
DocType
Volume
Interdependence,Complex system,Paradigm shift,Computer science,System of systems,Self-organization,Knowledge-based systems,Artificial intelligence,Complex adaptive system,Socio-ecological system
Conference
171
ISSN
Citations 
PageRank 
0922-6389
0
0.34
References 
Authors
4
1
Name
Order
Citations
PageRank
Karan Sharma1132.96