CFP last date
20 December 2024
Reseach Article

Military Simulator - A Case Study of Behaviour Tree and Unity based architecture

by Shruti Jadon, Anubhav Singhal, Suma Dawn
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 5
Year of Publication: 2014
Authors: Shruti Jadon, Anubhav Singhal, Suma Dawn
10.5120/15350-3691

Shruti Jadon, Anubhav Singhal, Suma Dawn . Military Simulator - A Case Study of Behaviour Tree and Unity based architecture. International Journal of Computer Applications. 88, 5 ( February 2014), 26-29. DOI=10.5120/15350-3691

@article{ 10.5120/15350-3691,
author = { Shruti Jadon, Anubhav Singhal, Suma Dawn },
title = { Military Simulator - A Case Study of Behaviour Tree and Unity based architecture },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 5 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number5/15350-3691/ },
doi = { 10.5120/15350-3691 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:50.893803+05:30
%A Shruti Jadon
%A Anubhav Singhal
%A Suma Dawn
%T Military Simulator - A Case Study of Behaviour Tree and Unity based architecture
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 5
%P 26-29
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we show how the combination of Behaviour Tree and Utility Based AI architecture can be used to design more realistic bots for Military Simulators. In this work, we have designed a mathematical model of a simulator system which in turn helps in analyzing the results and finding out the various spaces on which our favorable situation might exist, this is done geometrically. In the mathematical model, we have explained the matrix formation and its significance followed up in dynamic programming approach we explained the possible graph formation which will led improvisation of AI, latter we explained the possible geometrical structure of the matrix operations and its impact on a particular decision, we also explained the conditions under which it tend to fail along with a possible solution in future works.

References
  1. Mark, D. , and Dill, K. 2010. Improving AI Decision Modeling Through Utility Theory. Game Developers Conference.
  2. Laird, J. E. and van Lent, M. 2001. Human-Level AI's Killer Application Interactive Computer Games. AI Magazine Volume 22 Number 2.
  3. Dill, K. and Mark,D. 2012. Embracing the Dark Art of Mathematical Modeling in AI. Game Developers Conference.
  4. Dill, K. and Martin, L. 2011. A Game AI Approach to Autonomous Control of Virtual Characters. Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC).
  5. Mitgutsch, K. and Weise, M. 2011 Subversive Game Design for Recursive Learning, Singapore. MIT GAMBIT Game Lab. Massachusetts Institute of Technology.
  6. van Lent, M. and Laird, L. 1999 Developing an Artificial Intelligence Engine, Artificial Intelligence Lab. University of Michigan.
  7. Mikhalkin, G. 2005. Enumerative tropical algebraic geometry in R2. J. Amer. Math. Soc. 18,no. 2, 313–377.
  8. Macindoe,O. , Pack Kaelbling, L. and Lozano Perez, T. 2012 Assistant Agents for Sequential Planning Problems. Computer Science and Artificial Intelligence Laboratory, MIT.
  9. Patrik O. Hoyer, "Non-negative Matrix Factorization with Sparseness Constraints", Journal of Machine Learning Research 5, 2004, 1457–1469.
  10. Egenfeldt-Nielsen, S. and Heide Smith, J. 2003. Playing With Fire-How do computer games affect the player? The Media Council for Children and Young People.
  11. Wang, S. 2012 Operations Research 3OR. School of Mathematics & Statistics, the University of Western Australia.
Index Terms

Computer Science
Information Sciences

Keywords

Military Simulator Behaviour Tree Ranking Matrix.