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

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Authors: Andreas Herzog, Melanie Rentzsch, Gesa Götte, Sebastian Häberer
Cited by: 0
References: 11

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.

Fields of Study & Subjects

Psychiatry Mental Health Neuroscience Cognitive Computing and Networks Emotion and Mood Recognition

Publication details

Journal / source
Procedia CIRP
Volume
138
Pages
138–143
Publication date
1 January 2026
Language
EN