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  4. EMOTION Vectors: Enabling Self-Organizing Production Through Efficient Information Processing in Distributed Cognitive Systems
 
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2026
Journal Article
Title

EMOTION Vectors: Enabling Self-Organizing Production Through Efficient Information Processing in Distributed Cognitive Systems

Abstract
Self-organizing production requires interaction mechanisms that enable actors to successfully deal with different, new and undescribed situations. This demands comprehensive recognition and processing of context, target, and status information. A challenge arising from the complexity of information to be processed lies in the slowdown in processing speeds. One solution is the realization of vectors that represent high-dimensional and specific information in low-dimensional and standardized forms. Modelled upon human emotions as expressions of the results of previous evaluation processes, these are referred to as EMOTION vectors. In systems of distributed cognition, they convey the information required for effective cooperation of actors.
Author(s)
Herzog, Andreas  
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
Rentzsch, Melanie Franziska
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
Götte, Gesa Marie
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
Häberer, Sebastian  
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
Journal
Procedia CIRP  
Conference
Conference on Intelligent Computation in Manufacturing Engineering 2024  
Open Access
File(s)
Download (806.45 KB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.1016/j.procir.2026.01.025
10.24406/publica-7505
Additional link
Full text
Language
English
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
Keyword(s)
  • multidimensional data bases

  • distributed and cooperative production

  • intelligent manufacturing systems

  • complex systems

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