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Multi-agent systems applied to virtual environments: a case study

Published: 05 November 2007 Publication History

Abstract

Computer game development covers many different areas, such as graphics, artificial intelligence (AI) and network communications. Nowadays, players demand more sophisticated and credible computer-controlled opponents, but results are sometimes unsatisfactory. This is due to the need of real-time processing constraints to reach an acceptable feeling of immersion for the user. The development of systems, tools and development environments can play an important role in the progress of this field. The combination of AI techniques and virtual reality (or virtual environments) has given birth to the field of intelligent virtual environments (IVEs). An IVE is a virtual environment simulating a physical (or real) world, inhabited by autonomous intelligent entities [Luck and Aylett 2000]. These entities have to interact in / with the virtual environment as if they were real entities in the real world. There are some other typical problems of an IVE that we have to solve, as explained in [Bierbaum et al. 2001]: independence of the underlying technologies, user interactions (not only displaying images, but using specific devices such as trackers, gloves), synchronization of both data and image (even in case of multiple displays).

References

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Barella, A., Carrascosa, C., and Botti, V. 2006. Jgomas: game-oriented multi-agent system based on jade. In ACE '06: Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology, ACM Press, New York, NY, USA, 17.
[2]
Bierbaum, A., Just, C., Hartling, P., Meinert, K., Baker, A., and Cruz-Neira, C. 2001. Vr juggler: A virtual platform for virtual reality application development. In VR '01: Proceedings of the Virtual Reality 2001 Conference (VR'01), IEEE Computer Society, Washington, DC, USA, 89.
[3]
Fabio Bellifemine, Agostino Poggi, and Giovanni Rimassa. 1999. JADE -- A FIPA-compliant Agent Framework. In Proc. of the PAAM'99, 97--108.
[4]
Luck, M., and Aylett, R. 2000. Applying artificial intelligence to virtual reality: Intelligent virtual environments. Applied Artificial Intelligence 14, 1, 3--32.
[5]
Ulicny, B., and Thalmann, D. 2001. Crowd simulation for interactive virtual environments and VR training systems. In Computer Animation and Simulation '01, 163--170.
[6]
Vrjuggler. Vr juggler: a platform for virtual reality application development. Checked on February 8th, 2007.
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Wooldridge, M., and Jennings, N. R. 1995. Intelligent agents: Theory and practice. The Knowledge Engineering Review 10, 2, 115--152.

Cited By

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  • (2014)Using Natural Interfaces for Human-Agent ImmersionHighlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection10.1007/978-3-319-07767-3_32(358-367)Online publication date: 2014
  • (2014)Developing Adaptive Agents Situated in Intelligent Virtual EnvironmentsProceedings of the 9th International Conference on Hybrid Artificial Intelligence Systems - Volume 848010.1007/978-3-319-07617-1_9(98-109)Online publication date: 11-Jun-2014
  • (2009)Towards a Secure, Group-oriented and Efficient Framework for Intelligent Virtual EnvironmentsProceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence10.5555/1671153.1671185(234-241)Online publication date: 22-Jul-2009
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cover image ACM Conferences
VRST '07: Proceedings of the 2007 ACM symposium on Virtual reality software and technology
November 2007
259 pages
ISBN:9781595938633
DOI:10.1145/1315184
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 November 2007

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Cited By

View all
  • (2014)Using Natural Interfaces for Human-Agent ImmersionHighlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection10.1007/978-3-319-07767-3_32(358-367)Online publication date: 2014
  • (2014)Developing Adaptive Agents Situated in Intelligent Virtual EnvironmentsProceedings of the 9th International Conference on Hybrid Artificial Intelligence Systems - Volume 848010.1007/978-3-319-07617-1_9(98-109)Online publication date: 11-Jun-2014
  • (2009)Towards a Secure, Group-oriented and Efficient Framework for Intelligent Virtual EnvironmentsProceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence10.5555/1671153.1671185(234-241)Online publication date: 22-Jul-2009
  • (2009)Towards a Secure, Group-oriented and Efficient Framework for Intelligent Virtual EnvironmentsProceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence10.5555/1659389.1659421(234-241)Online publication date: 22-Jul-2009
  • (2009)JGOMASIEEE Transactions on Education10.1109/TE.2008.92576452:2(228-235)Online publication date: 1-May-2009
  • (2009)Structured P2P technologies for distributed command and controlPeer-to-Peer Networking and Applications10.1007/s12083-009-0033-y2:4(311-333)Online publication date: 7-Mar-2009

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