A talk presented at Jyothi Nivas College on the 24th of January , 2011

1. Taming ComplexityUsing Modelling and Simulation Sagar Sen Institut Nationale de Recherche en Informatique et Automatique (INRIA) Sophia-Antipolis, France

2. Getting lost in Phang-Nga Bay

3. Outline What does complexity mean to you? Why simulate complex behaviour? Simulating models of the real-world Modelling and simulation : The Process Conclusion

4. 1. What does complexity mean to you?

5. Complexity Around Us Night Sky to the Naked Eye

6. Complexity Around Us Unravel the infinite universe

7. Complexity Around Us Ocean currents Our Planet Gauss (Earth’s field strength30 microteslas)

8. Complexity Around Us Emile Durkheim Society

9. Complexity Around Us Descartes Ulrich Neisser CognitivePsychology

10. Complexity Around Us Life

11. Complexity Around Us Man-madeStuff

12. Complexity Around Us Molecular Chemistry/Physics/Biology Molecules

13. Complexity Around Us Atoms

14. Complexity Around Us Elementary Particles (fermions, bosons,..)

15. Infinite Complexity Bottom and Top No well-founded theory of fundamental particles No well-founded theory of the universe

16. The Devil is in the details Satan is keeping us busy exploring 

17. There are many mansions in the mind of a scientist Nikola Tesla (Inventor)

18. Experiments Laws of Science Instruments design Model of the Electric Motor

19. To Understand And Tame Complexity is Human

20. Which path? or Voodoo Mad Science

21. Modelling and Simulation Effective and Harmless (more or less)

22. Outline What does complexity mean to you? Why simulate complex behaviour? Simulating models of the real-world Modelling and simulation : The Process Conclusion

23. 2. Why simulate or imitate complex behaviour?

24. Why Simulate? Analysis <=> Design

25. Why Simulate? Controlled Environment

26. Why Simulate? Real experiment not ethical

27. Why Simulate? Evaluate Alternatives 27

28. Why Simulate? “Do it right the first time!”

29. Why Simulate? To Predict

30. Why Simulate? To Optimize a Performance Metric or Fitness

31. Outline What does complexity mean to you? Why simulate complex behaviour? Simulating models of the real-world Modelling and simulation : The Process Conclusion

32. 3. Simulating models of the real-world

33. Models

34. Model Everything! Courtesy: NASA Space Age Swimming

35. Models in a Modelling Language Modelling Language M English Language Words in English All models m in M

36. Poetry in English English Language Baa, baa, black sheep,Have youanywool?Yes sir, yes sir,Threebags full.One for my master,One for my dame,And one for the little boyWholives down the lane. Words in English

37. Simulation of Models Modelling Language M Model variables evolving based on Navier-Stokes Equations All models m in M

38. Outline What does complexity mean to you? Why simulate complex behaviour? Simulating models of the real-world Modelling and simulation : The Process Conclusion

39. 4. Modelling and Simulation: The Process

40. 1. Choose a problem that intrigues you Improving Traffic Networks

41. 2. Model in an Appropriate Modelling Language

42. 3. Transform to a Mathematical Formalism Differential Equations Petri Nets State Machines Causal Block Diagrams

43. 4. Solve the Mathematical Formulation to Simulate A formulation basically contains variables v1,v2,… and constraints that describe how they change in time Bangalore 2050

44. Modelling and Simulation Everywhere Vehicle Design Medicine Sports Chemistry Finance Neuroscience Astrophysics Prefix = Computational

45. Outline What does complexity mean to you? Why simulate complex behaviour? Simulating models of the real-world Modelling and simulation : The Process Conclusion

46. 5. Conclusion

47. Conclusion Complexity is everywhere in the real-world Models are abstractions of reality Simulation is the evolution of a model while conforming to a set of laws Many facets of M&S! Model and simulate everything!

48. Acknowledgements Prof. Hans Vangheluwe, McGill University and University of Antwerp (Belgium) Dr. Sr. Elizabeth, Principal Prof. Neeta Georphin, HOD, Dept. of Computer Science

49. Thank You! Then March, 1984 , now January 2010