SIMULTECH’16, Lisbon, Portugal July 29, 2016

1. SIMULTECH’16, Lisbon, Portugal July 29, 2016 Opening Panel: “Increasing importance of simulationand rise of simulation-baseddisciplines” Moderator: Invited Panelists: http://www.site.uottawa.ca/~oren/y/2016/07-29-p_sim-based.pdf

2. No progress is ever possible by keeping the status quo!

3. TuncerÖren,Emeritus Prof., University of Ottawa, Canada • Interest areas: • Advancing M&S methodology, • cognitive simulation, affective simulation, • M&S body of knowledge and terminology • Activein M&S since 1965 • Publications: over 500; • 40 books and proceedings (25 after his early retirement 20 years ago) • Contributions to conferences & seminars: ~500 • (~ half as invited / honorary) in about 40 countries • Additional info: • SCS (Hall of Fame, Fellow, AVP for ethics) • A book about him(2015): (L. Yilmaz, ed.) Concepts and Methodologies • for Modeling and Simulation: A Tribute to Tuncer Ören, Springer. • IIASAAlumni News (15 June 2016)

4. “”Increasing importance of simulation and rise of simulation-based disciplines” “Simulation is like a gem; it is multifaceted” Tuncer Ören, 1984  Forward to the book: Multifaceted Modelling and Discrete Event Simulation, by B.P. Zeigler. Academic Press London, England.  Ören, T.I. (2011). The Many Facets of Simulation through a Collection of about 100 Definitions. SCS M&S Magazine, 2:2 (April), pp. 82-92. Ören, T.I. (2011). A Critical Review of Definitions and About 400 Types of Modeling and Simulation. SCS M&S Magazine, 2:3 (July), pp. 142-151

5. Dynamic model: A model with behavior and/or structure that changes over time. • Simulation is • performing goal-directed experiments with dynamic models and/or • gaining experience by using dynamic models for training, entertainment, and/or enjoyable collective work.

6. Simulation as a powerful infrastructure

7. Prof. Dr. Catholijn M. Jonker, Delft University of Technology, Netherlands

8. Prof. Dr. Catholijn M. Jonker,Delft University of Technology, Netherlands Professor of Interactive Inteligence in the  Faculty of Electrical Engineering, Mathematics and Computer Science, has chaired international conferences and workshops. She has participated in and reviewed several EU projects. Chair of De Jonge Akademie (Young Academy) of the KNAW (The Royal Netherlands Society of Arts and Sciences) in 2005 and 2006 (member from 2005 to 2010). Member of the Koninklijke Hollandsche Maarschappij der Wetenschappen, and of the Academia Europaea. Winner of an individual VICI grant of 1.5 M Eur of NWO (2007). President of the Netherlands Network of Female Professors (LNVH) 2013 – 2015 (board member 2008-2015). ECCAI Fellow since 2015. Current Google Scholar H-index of 36. Her publications address cognitive processes and concepts such as negotiation, teamwork and the dynamics of individual agents and organizations. In all her research lines Catholijn has adopted a value-sensitive approach. In particular, she works towards intelligent agents that can interact with their users in value-conflicting situations when also meta-values no longer solve the situation.  In Delft she works with an interdisciplinary team to create synergy between humans and technology by understanding, shaping and using fundamentals of intelligence and interaction.

9. Francesco Casella, Politecnico di Milano, Italy

10. Francesco Casella, Politecnico di Milano, Italy Francesco Casella is assistant professor at Politecnico di Milano, where he received his Master's degree cum laude and his PhD in Information and Control Science. His main research interests are dynamic modelling and control of energy systems and object-oriented modelling of engineering systems in general. He has pioneered the application of equation-based object-oriented modelling, in particular the Modelica language, to power generation and energy conversion systems. He is the main author of the Modelica ThermoPower library, a collection of reusable models for the field of power generation. He is also interested in equation-based, object-oriented modelling of engineering systems in general, in particular with reference to methods and algorithms for robust initialization and parallel simulation of object-oriented models, to debugging methods for equation-based declarative models, and to innovative algorithms and methods for the efficient simulation of large-scale models. He is currently responsible for the Politecnico unit of the Horizon 2020 project PreFlexMS, which has the goal to design and demonstrate an innovative once-through steam generator for flexible operation, using high-temperature molten salts form central receiver solar plants as the heat source. He has been the chairman and main organizer of the 7th International Modelica Conference in Como, 2009, and is the general chair of the forthcoming 7th International Workshop on Equation-Based Object-Oriented languages and tools, to be held at Politecnico di Milano in April 2016. He is also a member of the board of the Open Source Modelica Consortium and was appointed Vice Director of the Consortium in 2015.

11. Prof. Yaman Barlas, Boğaziçi University, Turkey

12. Yaman Barlas, Boğaziçi University, Turkey Yaman Barlas received his B.S., M.S. and Ph.D. degrees in Industrial and Systems Engineering. Upon receiving his Ph.D. from Georgia Institute of Technology in 1985, he joined and eventually received tenure at Miami University of Ohio.  He returned to Bogaziçi University in Istanbul in 1993, where he is still working as a professor of Industrial Engineering and directing the SESDYN research laboratory (http://www.ie.boun.edu.tr/labs/sesdyn/). His interest areas are credibility of simulation models, system dynamics method, systems science, modeling of socio-economic and medical problems, and simulation as a learning/training platform. Prof. Barlas teaches simulation, system dynamics, systems science and advanced dynamic systems modeling. He has several teaching excellence awards.  He is a founding member and a former President of the System Dynamics Society, and has various editorial roles in different publications, including Executive Editor of System Dynamics Review. 

14. Use of experimentation for Decision Support Prediction of behavioror performance of the system of interest within the constraints inherent in the simulation model (e.g., granularity - detail) Evaluation of alternativemodels, parameters, experimental and/or operatingconditions on model behavior or performance Sensitivity analysis Engineering design Prototyping(virtual prototyping) Planning Acquisition (simulation-based acquisition) Proof of concept Predictive displays to support real system operations On-line diagnosis

15. The reasons* dynamic models are used: to experiment to gain experience *are the essence of superiority of simulation

16. The reasons* dynamic models are used: to experiment to gain experience If real system: - does not exist (engineering apps.) - cannot be reached (e.g., space apps.) If experimentation with real system: - not possible (e.g., cosmology) - dangerous(nuclear tests) - inconvenient (traffic sims) - impractical -experimentation under any condition (prototype development) -time wise (very slow or very fast phenomena) If real system: - does not exist (even if it exists) (pilot training for (new types of) aircrafts) - cannot be reached (easily) (e.g., lunar landing) If gaining experience with real system: - impractical (war games) - inconvenient (finding subjects to train MDs on prostate diagnosis) *to be completed

17. Modeling and simulation has been evolving through synergies with computerization and software engineering, artificial intelligence and software agents, system theories, soft computing, and systems engineering

18. Mittal, S., U. Durak, T. Ören (eds.). (2017 – In Preparation). Guide to Simulation-Based Disciplines: Advancing our Computational Future, Springer.

20. Many thanks for your interest! Q / A / (challenges for the discipline)