A1 Journal article (refereed)
Patented intelligence : cloning human decision models for Industry 4.0 (2018)
Terziyan, V., Gryshko, S., & Golovianko, M. (2018). Patented intelligence : cloning human decision models for Industry 4.0. Journal of Manufacturing Systems, 48(Part C), 204-217. https://doi.org/10.1016/j.jmsy.2018.04.019
JYU authors or editors
Publication details
All authors or editors: Terziyan, Vagan; Gryshko, Svitlana; Golovianko, Mariia
Journal or series: Journal of Manufacturing Systems
ISSN: 0278-6125
eISSN: 1878-6642
Publication year: 2018
Volume: 48
Issue number: Part C
Pages range: 204-217
Publisher: Elsevier Ltd
Publication country: United Kingdom
Publication language: English
DOI: https://doi.org/10.1016/j.jmsy.2018.04.019
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/60331
Abstract
Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into various planning, production, and management processes in Industry 4.0 must take the initiative and responsibility for making necessary real-time decisions in many cases. In this paper, we suggest the Pi-Mind technology as a compromise between completely human-expert-driven decision-making and AI-driven decision-making. Pi-Mind enables capturing, cloning and patenting essential parameters of the decision models from a particular human expert making these models transparent, proactive and capable of autonomic and fast decision-making simultaneously in many places. The technology facilitates the human impact (due to ubiquitous presence) in smart manufacturing processes and enables human-AI shared responsibility for the consequences of the decisions made. It also benefits from capturing and utilization of the traditionally human creative cognitive capabilities (sometimes intuitive and emotional), which in many cases outperform the rational decision-making. Pi-Mind technology is a set of models, techniques, and tools built on principles of value-based biased decision-making and creative cognitive computing to augment the axioms of decision rationality in industry.
Keywords: manufacturing engineering; industrial automation; intelligent systems; knowledge systems; collective intelligence; decision making
Free keywords: industry 4.0; Pi-Mind; decision-making; cyber-physical system; cognitive models; value system; preference; clone; patented intelligence; smart decision; ontology
Contributing organizations
Ministry reporting: Yes
VIRTA submission year: 2018
JUFO rating: 1