MBSE with/out Simulation: State of the Art and Way Forward

The limitations of model-based support for engineering complex systems include limited capability to develop multifaceted models as well as their analysis with robust reliable simulation engines. Lack of such Modeling and Simulation (M&S) infrastructure leads to knowledge gaps in engineering such complex systems and these gaps appear as epistemological emergent behaviors. In response, an initiative is underway to bring Model-Based Systems Engineering (MBSE) closer together with model-based simulation developments. M&S represents a core capability and is needed to address today’s complex, adaptive, systems of systems engineering challenges. This paper considers the problems raised by MBSE taken as a modeling activity without the support of full strength integrated simulation capability and the potential for, and possible forms of, closer integration between the two streams. An example of a system engineering application, an unmanned vehicle fleet providing emergency ambulance service, is examined as an application of the kind of multifaceted M&S methodology required to effectively deal with such systems.

[1]  Laurent Ciarletta,et al.  Co-simulation of cyber-physical systems using a DEVS wrapping strategy in the MECSYCO middleware , 2018, Simul..

[2]  Umut Durak,et al.  Induced Emergence in Computational Social Systems Engineering: Multimodels and Dynamic Couplings as Methodological Basis , 2018 .

[3]  Bernard P. Zeigler,et al.  Simulation-Based Evaluation of Morphisms for Model Library Organization , 2019, Model Engineering for Simulation.

[4]  Alan R. Washburn,et al.  Aggregated Combat Models , 2000 .

[5]  Andrea Giglio,et al.  Model transformation services for MSaaS platforms , 2018, SpringSim.

[6]  Andreas Tolk,et al.  COMPLEX SYSTEMS ENGINEERING AND THE CHALLENGE OF EMERGENCE , 2018 .

[7]  Umut Durak,et al.  Guide to Simulation-Based Disciplines , 2017, Simulation Foundations, Methods and Applications.

[8]  Bertrand Russell,et al.  Principia Mathematica Vol. Iii , 1913 .

[9]  Paul K. Davis,et al.  Experiments In Multiresolution Modeling (MRM) , 1998 .

[10]  Liuqing Yang,et al.  Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond , 2016, IEEE/CAA Journal of Automatica Sinica.

[11]  Bernard P. Zeigler,et al.  Fundamental requirements and DEVS approach for modeling and simulation of complex adaptive system of systems: healthcare reform , 2018, SpringSim.

[12]  Saurabh Mittal,et al.  Model engineering for cyber complex adaptive systems , 2014 .

[13]  Bernard P. Zeigler,et al.  Activity-Based Credit Assignment Heuristic for Simulation-Based Stochastic Search in a Hierarchical Model Base of Systems , 2017, IEEE Systems Journal.

[14]  Elisa Yumi Nakagawa,et al.  Model-based engineering & simulation of software-intensive systems-of-systems: experience report and lessons learned , 2018, ECSA.

[15]  Andreas Tolk,et al.  RESEARCH AGENDA FOR NEXT-GENERATION COMPLEX SYSTEMS ENGINEERING , 2018 .

[16]  Helena Hong Gao,et al.  Selected Papers Of John H. Holland: A Pioneer In Complexity Science , 2018 .

[17]  Bernard P. Zeigler,et al.  Guide to Modeling and Simulation of Systems of Systems , 2012, SpringerBriefs in Computer Science.

[18]  C. S. Holling,et al.  Economic growth, carrying capacity, and the environment , 1995, Environment and Development Economics.

[19]  Saurabh Mittal,et al.  Netcentric System of Systems Engineering with DEVS Unified Process , 2013 .

[20]  Azad M. Madni,et al.  Extending Model Based Systems Engineering for Human Machine Interaction Analysis and Fault Tolerant Design , 2012, Infotech@Aerospace.

[21]  Bernard P. Zeigler,et al.  Combining DEVS and model-checking: concepts and tools for integrating simulation and analysis , 2017, Int. J. Simul. Process. Model..

[22]  Mamadou Kaba Traoré,et al.  The high level language for system specification: A model-driven approach to systems engineering , 2016, Int. J. Model. Simul. Sci. Comput..

[23]  Soroosh Gholami,et al.  Combined DEVS multiresolution simulation and model checking , 2017, 2017 Winter Simulation Conference (WSC).

[24]  Bernard P. Zeigler,et al.  SYSTEMS ENGINEERING AND SIMULATION: CONVERGING TOWARD NOBLE CAUSES , 2018, 2018 Winter Simulation Conference (WSC).

[25]  Holly A. H. Handley,et al.  Towards a framework for executable systems modeling: an executable systems modeling language (ESysML) , 2018, SpringSim.

[26]  Christopher J. Lynch,et al.  Big data, agents, and machine learning: towards a data-driven agent-based modeling approach , 2018, SpringSim.

[27]  A. Wayne Wymore,et al.  A mathematical theory of systems engineering--the elements , 1967 .

[28]  John W. Meyer,et al.  Multiple Levels of Analysis and the Limitations of Methodological Individualisms* , 2011 .

[29]  Saurabh Mittal,et al.  Theory and Practice of M&S in Cyber Environments , 2017 .

[30]  Saurabh Mittal,et al.  Simulation-Based Complex Adaptive Systems , 2017 .

[31]  Mark W. Maier,et al.  Architecting Principles for Systems‐of‐Systems , 1996 .

[32]  Saurabh Mittal,et al.  Model Management and Execution in DEVS Unified Process , 2019 .

[33]  Paul K. Davis,et al.  Families of models that cross levels of resolution: issues for design, calibration and management , 1993, WSC '93.

[34]  Andreas Tolk,et al.  Emergent Behavior in Complex Systems Engineering: A Modeling and Simulation Approach , 2018 .

[35]  Bernard P. Zeigler,et al.  Towards a framework for more robust validation and verification of simulation models for systems of systems , 2016 .

[36]  Saurabh Mittal,et al.  Harnessing emergence: the control and design of emergent behavior in system of systems engineering , 2015, SummerSim.

[37]  Azad M. Madni Transdisciplinary Systems Engineering , 2018 .

[38]  Thorsten Pawletta,et al.  Extended variability modeling using system entity structure ontology within MATLAB/Simulink , 2016, SpringSim.

[39]  Alex M. Andrew,et al.  ROBOT LEARNING, edited by Jonathan H. Connell and Sridhar Mahadevan, Kluwer, Boston, 1993/1997, xii+240 pp., ISBN 0-7923-9365-1 (Hardback, 218.00 Guilders, $120.00, £89.95). , 1999, Robotica (Cambridge. Print).

[40]  Bernard P. Zeigler,et al.  Multifacetted Modelling and Discrete Event Simulation , 1984 .

[41]  Saurabh Mittal,et al.  Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective , 2013, Cognitive Systems Research.

[42]  Bernard P. Zeigler STRUCTURING THE ORGANIZATION OF PARTIAL MODELS , 1978 .

[43]  Andreas Tolk,et al.  The Profession of Modeling and Simulation: Discipline, Ethics, Education, Vocation, Societies, and Economics , 2017 .

[44]  Hessam S. Sarjoughian,et al.  Model-driven time-accurate DEVS-based approaches for CPS design , 2018, SpringSim.

[45]  A. Wayne Wymore,et al.  Model-based systems engineering , 1993 .