Patented intelligence: Cloning human decision models for Industry 4.0

Autor: Mariia Golovianko, Vagan Terziyan, Svitlana Gryshko
Rok vydání: 2018
Předmět:
0209 industrial biotechnology
Knowledge management
Industry 4.0
Computer science
cognitive models
Compromise
media_common.quotation_subject
päätöksenteko
Cognitive computing
Rationality
02 engineering and technology
Industrial and Manufacturing Engineering
cyber-physical system
020901 industrial engineering & automation
0202 electrical engineering
electronic engineering
information engineering
ontology
industry 4.0
preference
value system
media_common
ta113
clone
ta214
Cloning (programming)
business.industry
Collective intelligence
collective intelligence
decision-making
Pi-Mind
smart decision
tietämysjärjestelmät
patented intelligence
Hardware and Architecture
Control and Systems Engineering
teollisuusautomaatio
älytekniikka
valmistustekniikka
020201 artificial intelligence & image processing
joukkoäly
Human cloning
business
Decision model
Software
Zdroj: Journal of Manufacturing Systems. 48:204-217
ISSN: 0278-6125
DOI: 10.1016/j.jmsy.2018.04.019
Popis: 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. peerReviewed
Databáze: OpenAIRE
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