Patented intelligence: Cloning human decision models for Industry 4.0

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.

[1]  Vagan Y. Terziyan,et al.  Systems Thinking - a Studie of Alternatives of R. Flood, M. Jackson, W. Ulrich, and G. Midgley. , 2003 .

[2]  Jian Cao,et al.  Towards smart manufacturing process selection in Cyber-Physical Systems , 2018, Manufacturing Letters.

[3]  Vagan Y. Terziyan,et al.  Semantic Portal as a Tool for Structural Reform of the Ukrainian Educational System , 2015, Inf. Technol. Dev..

[4]  Gary Klein,et al.  Naturalistic Decision Making , 2008, Hum. Factors.

[5]  J. E. Colgate,et al.  Cobots: Robots for Collaboration With Human Operators , 1996, Dynamic Systems and Control.

[6]  Dazhong Wu,et al.  A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing , 2017 .

[7]  Vagan Y. Terziyan,et al.  SmartResource - Proactive Self-Maintained Resources in Semantic Web: Lessons Learned , 2008 .

[8]  Lida Xu,et al.  Enterprise Systems: State-of-the-Art and Future Trends , 2011, IEEE Transactions on Industrial Informatics.

[9]  Lihui Wang,et al.  Current status and advancement of cyber-physical systems in manufacturing , 2015 .

[10]  Yoshua Bengio,et al.  Deep Learning of Representations: Looking Forward , 2013, SLSP.

[11]  Ying Liu,et al.  Agent and Cyber-Physical System Based Self-Organizing and Self-Adaptive Intelligent Shopfloor , 2017, IEEE Transactions on Industrial Informatics.

[12]  Artem Katasonov,et al.  Global Understanding Environment: Applying Semantic and Agent Technologies to Industrial Automation , 2009 .

[13]  Åsa Fast-Berglund,et al.  The Operator 4.0: Human Cyber-Physical Systems & Adaptive Automation Towards Human-Automation Symbiosis Work Systems , 2016, APMS.

[14]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[15]  Eliseo Ferrante,et al.  Swarm robotics: a review from the swarm engineering perspective , 2013, Swarm Intelligence.

[16]  Timothy J. Pleskac,et al.  Cognitive Decision Theory: Developing Models of Real-World Decision Behavior , 2007 .

[17]  J. Delsing,et al.  A SOA-based architecture for empowering future collaborative cloud-based industrial automation , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[18]  Rachid Alami,et al.  On human models for collaborative robots , 2013, 2013 International Conference on Collaboration Technologies and Systems (CTS).

[19]  Klas Nilsson,et al.  Industrial Robotics , 2008, Springer Handbook of Robotics.

[20]  Deniz Erdogmus,et al.  The Future of Human-in-the-Loop Cyber-Physical Systems , 2013, Computer.

[21]  Alin Albu-Schäffer,et al.  The KUKA-DLR Lightweight Robot arm - a new reference platform for robotics research and manufacturing , 2010, ISR/ROBOTIK.

[22]  Stamatis Karnouskos,et al.  Towards the Factory of the Future: A Service-oriented Cross-layer Infrastructure , 2009 .

[23]  Varghese S. Jacob,et al.  Hemispheric specialization, cognitive differences, and their implications for the design of decision support systems , 1992 .

[24]  Séverin Lemaignan,et al.  Artificial cognition for social human-robot interaction: An implementation , 2017, Artif. Intell..

[25]  Hamed Saeidi,et al.  Modeling and Control of Trust in Human and Robot Collaborative Manufacturing , 2014, AAAI Spring Symposia.

[26]  Jay Lee,et al.  Smart Agents in Industrial Cyber–Physical Systems , 2016, Proceedings of the IEEE.

[27]  Biswajit Sarkar,et al.  Effect of inspection performance in smart manufacturing system based on human quality control system , 2018 .

[28]  Åsa Fast-Berglund,et al.  Towards a Human-Centred Reference Architecture for Next Generation Balanced Automation Systems: Human-Automation Symbiosis , 2015, APMS.

[29]  Dazhong Wu,et al.  Deep learning for smart manufacturing: Methods and applications , 2018, Journal of Manufacturing Systems.

[30]  Rachid Alami,et al.  Robots learning how and where to approach people , 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[31]  Esben H. Ostergaard Lightweight Robot for Everybody [Industrial Activities] , 2012 .

[32]  Michael Cochez,et al.  TB-Structure: Collective Intelligence for Exploratory Keyword Search , 2016, International KEYSTONE Conference.

[33]  Artem Katasonov,et al.  Smart Semantic Middleware for the Internet of Things , 2008, ICINCO-ICSO.

[34]  Jack C. Wileden,et al.  A Decision Support Ontology for collaborative decision making in engineering design , 2009, 2009 International Symposium on Collaborative Technologies and Systems.

[35]  Edward A. Lee,et al.  The swarm at the edge of the cloud - A new perspective on wireless , 2011, 2011 Symposium on VLSI Circuits - Digest of Technical Papers.