Among the different sorts of challenges for the modeling and simulation community, two types of challenges face us: challenges that optimize space and time for the computer and challenges that improve the human interface to the modeling and simulation process itself. While these types of challenges are important for the future health of simulation, the author presents a grand challenge of the latter variety, based on an area termed integrative multimodeling. The purpose of integrative multimodeling is to provide a human-computer interaction environment that allows components of different model types to be linked to one another. This study specifies current modeling practices in simulation and proceeds to justify a need for the challenge. It then follows this with two areas: aesthetic computing and the RUBE software framework, which supports customized “notations” for dynamic models constructed using the extensible markup language (XML).
Fishwick, P.1995. Simulation model design and execution. Englewood Cliffs, NJ: Prentice Hall .
2.
Nance, R. E.1993. A history of discrete event simulation programming languages. In The 2nd ACM SIGPLAN Conference on History of Programming Languages, Cambridge, MA.
3.
Zeigler, B. P. , H. Praehofer , and T. G. Kim . 2000. Theory of modeling and simulation: Integrating discrete event and continuous complex dynamic systems. 2d ed.New York: Academic Press .
4.
Pritsker, A.A. B.1974. The GASP IV simulation language. New York: John Wiley .
5.
Banks, J. , J. Carson , B. Nelson , and D. M. Nicol . 2001. Discrete event system simulation. 3d ed.Englewood Cliffs, NJ: Prentice Hall .
6.
Law, A. M. , and W. D. Kelton . 2000. Simulation modeling and analysis. 3d ed.New York: McGraw-Hill .
7.
Overstreet, M. , and R. E. Nance . 1986. World view based discrete event model simplification. In Modeling and simulation methodology in the artificial intelligence era, edited by M. S. Elzas , T. I. Oren , and B. P. Zeigler , 165-179. Amsterdam: Elsevier North Holland .
8.
Hopkins, J. , and P. Fishwick . 2003. Exploiting an agent-based metaphor in software visualization using the RUBE system . Journal of Visual Languages and Computing14 (1): 97-117 .
9.
Cellier, F. E.1991. Continuous system modeling. NewYork: Springer Verlag .
10.
Elmqvist, H. , S. E. Mattsson , and M. Otter . 1999. Modelica: A language for physical system modeling, visualization and interaction . In IEEE Symposium on Computer-Aided Control System Design, CACSD’99, August 22-27, Hawaii, pp. 630-639 .
11.
Mattsson, S. E. , H. Elmqvist , and M. Otter . 1998. Physical system modeling with Modelica . Control Engineering Practice6: 501-510 .
12.
Rosenberg, R. C. , and D. C. Karnopp . 1983. Introduction to physical system dynamics. New York: McGraw-Hill .
13.
Shin, S. J.2002. The iconic logic of Peirce’s graphs. Cambridge, MA: MIT Press .
14.
Lakoff, G. , and R. E. Nunez . 2000. Where mathematics comes from: How the embodied mind brings mathematics into being. New York: Basic Books .
15.
Rumbaugh, J. , M. Blaha , W. Lorensen , F. Eddy , and W. Premerlani . 1990. Object-oriented modeling and design. Englewood Cliffs, NJ: Prentice Hall .
16.
Booch, G.1993. Object-oriented design and analysis with applications. Reading, MA: Addison-Wesley .
17.
Gibson, W.1984. Neuromancer. New York: Ace Books .
18.
Elam, G. , and N. Hanberger . 1999. Warriors of the Net. Ericsson Media Lab . Retrieved from http://www.warriorsofthe.net
19.
Abbot, E.A.[1884] 1992. Flatland: A romance of many dimensions. Reprint, London: Dover .
20.
Nielsen, J.1993. Usability engineering. New York: Morgan Kaufmann .
21.
Picard, R. W.1997. Affective computing. Cambridge, MA: MIT Press .
22.
Brave, S. , and C. Nass . 2002. Emotion in human-computer interaction. In The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications, edited by J. A. Jacko and A. Sears.Hillsdale, NJ: Lawrence Erlbaum .
23.
Norman, D. A.2004. Emotional design: Why we love (or hate) everyday things. New York: Basic Books .
24.
Jordan, P.W.2000. Designing pleasurable products: An introduction to the new human factors. New York: Taylor & Francis .
25.
Tomlinson, C. A.1999. The differentiated classroom: Responding to the needs of all learners. Alexandria, Virginia: Association for Supervision and Curriculum Development .
26.
Pine, B. J., II.1993. Mass customization: The new frontier in business competition. Cambridge, MA: Harvard Business School Press .
27.
Tractinsky, N. , and D. Zmiri . Forthcoming. Exploring the skins as potential antecedents of emotion in HCI. In Aesthetic computing, edited by P. Fishwick.Cambridge, MA: MIT Press .
28.
Burdea, G. , and P. Coiffet . 1994. Virtual reality technology. New York: John Wiley .
29.
Singhal, S. , and M. Zyda . 1999. Networked virtual environments: Design and implementation. Reading, MA: Addison-Wesley .
Fishwick, P. , ed. Forthcoming. Aesthetic computing. Cambridge, MA: MIT Press .
32.
Kay, A.1990. User interface: A personal view. In The art of human computer interface design, edited by B. Laurel , 191-207. Reading, MA: Addison-Wesley .
33.
Buck, J. T. , S. Ha , E. A. Lee , and D. G. Messerschmitt . 1994. Ptolemy: A framework for simulating and prototyping heterogeneous systems . International Journal of Computer Simulation4: 155-182 .
34.
Najork, M.1996. Programming in three dimensions . Journal of Visual Languages and Computing7 (2): 219-242 .
35.
Hesse, M. B.1966. Models and analogies in science. Notre Dame, IN: University of Notre Dame Press .
36.
Morgan, M. S. , and M. Morrison , eds. 1999. Models as mediators: Perspectives on natural and social science. Cambridge, UK: Cambridge University Press .
37.
Hopkins, J. , and P. Fishwick . 2001. Synthetic human agents for modeling and simulation . Proceedings of the IEEE89 (2): 131-147 .
38.
Page, E. H. , P. A. Fishwick , K. J. Healy , R. E. Nance , and R. J. Paul . 2000. Web-based simulations: Revolution or evolution?ACM Transactions on Modeling and Computer Simulation10 (1): 3-17 .
