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Cognitive Agent for the Quality Management in Flexographic Printing on Packages
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Author(s): Jakub Janus (Wroclaw University of Economics and Business, Poland), Marcin Hernes (Wroclaw University of Economics and Business, Poland), Wiesława Gryncewicz (Wroclaw University of Economics and Business, Poland), Artur Rot (Wroclaw University of Economics and Business, Poland), Agata Maria Kozina (Wroclaw University of Economics and Business, Poland), Aleksandra Markowska (Wroclaw University of Economics and Business, Poland)and Jadwiga Sobieska-Karpińska (The Witelon State University of Applied Sciences in Legnica, Poland)
Copyright: 2021
Pages: 17
Source title:
Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success
Source Author(s)/Editor(s): Małgorzata Pańkowska (University of Economics in Katowice, Poland)
DOI: 10.4018/978-1-7998-6713-5.ch015
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Abstract
The aim of the chapter is to develop an approach for improving quality management in flexographic printing on packages using cognitive agent. A hybrid agents' architecture based on the learning intelligent distribution agent architecture (LIDA) and hierarchical temporal memory has been developed. Such approach has not been developed before; therefore, it is the main contribution of this chapter. The first part of the chapter presents the introduction to the research problem and background. Next, research methodology and the LIDA cognitive agents have been described. The main part of chapter presents the cognitive agent's architecture and functionality related to quality management in flexographic printing. The last part presents discussion, future works, and major conclusions.
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