کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10156169 1666377 2018 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Patented intelligence: Cloning human decision models for Industry 4.0
ترجمه فارسی عنوان
اطلاعات اختراع شده: مدل تصمیم گیری انسانی برای صنعت 4.0
کلمات کلیدی
صنعت 4.0، پی-ذهن، تصمیم سازی، سیستم فیزیکی سایبر، مدل های شناختی، هوش جمعی، سیستم ارزش، ترجیح، شبیه، اطلاعات اختراع شده، تصمیم هوشمندانه هستی شناسی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Manufacturing Systems - Volume 48, Part C, July 2018, Pages 204-217
نویسندگان
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