Quantitative emergence - A refined approach based on divergence measures

Proceedings - 2010 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2010

Volumn , Issue , 2010, Pages 94-103

  Fisch, Dominik ^a   Jänicke, Martin ^a   Sick, Bernhard ^a   Müller Schloer, Christian ^b  

^a UNIVERSITY OF PASSAU   (Germany)

^b LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

Intelligent technical systems; Organic computing; Quantitative emergence

Indexed keywords

ARTIFICIAL DATA; CONTINUOUS ATTRIBUTE; DIVERGENCE MEASURES; HELLINGER DISTANCE; HYBRID ATTRIBUTES; KULLBACK LEIBLER DIVERGENCE; MODEL-BASED; NON-PARAMETRIC; ORGANIC COMPUTING; PROBABILITY DENSITIES; PROBABILITY DENSITY ESTIMATION; PROBABILITY THEORY; QUANTITATIVE EMERGENCE; REAL WORLD DATA; SIMULATION EXPERIMENTS; TECHNICAL SYSTEMS;

CYBERNETICS; INFORMATION THEORY; INTRUSION DETECTION; PROBABILITY; SPEECH RECOGNITION;

PROBABILITY DENSITY FUNCTION;

EID: 79952065944     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SASO.2010.31     Document Type: Conference Paper

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