Intelligent Virtual Environment Using a Methodology Oriented to Agents

  • Sandra MateusEmail author
  • John Branch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9740)


This paper describes a Virtual Environment with Intelligent Agents, using an agent-oriented methodology called Prometheus. This technique was incorporated in the perception and reasoning of a character in the Intelligent Virtual Environment (IVE), in order to react intelligently to given warning signs. The main objective of the character in the developed IVE is finding the optimum path without having to do extra shifts. The used technique achieves an optimal solution using only probability calculations, without requiring additional data to be supplied. This solution is obtained given the repetitions and the number of ants in the character agent. The virtual environment was created with the UDK tool to identify warning signs in a work environment. UDK is used because of its importance in the development of world-renowned games.


Intelligent virtual environment Intelligent agents Ant colony algorithm 


  1. 1.
    Cavazza, M., Lugrin, J.-L., Hartley, S., Renard, M., Nandi, A., Jacobson, J., Crooks, S.: Intelligent virtual environments for virtual reality art. Comput. Graph. 29(6), 852–861 (2005). ElsevierCrossRefGoogle Scholar
  2. 2.
    Bordini, R., Hübner, J., Wooldridge, M.: Programming Mulit-agent Systems in AgentSpeak Using Jason. Wiley, London (2007)CrossRefzbMATHGoogle Scholar
  3. 3.
    Buche, C., Querrec, R.: An expert system manipulating knowledge to help human learners into virtual environment. Expert Syst. Appl. 38(7), 8 (2011)CrossRefGoogle Scholar
  4. 4.
    Clemente, J., Ramirez, J., De Antonio, A.: Applying a student modeling with non monotonic diagnosis to intelligent virtual environment for training/instruction. Expert Syst. Appl. 41(2), 508–520 (2014). ElsevierCrossRefGoogle Scholar
  5. 5.
    Kurt, A., Vernier, M., Biddlestone, S., Redmill, K., Özgüner, Ü.: Chapter 2 – testing of intelligent vehicles using virtual environments and staged scenarios. In: Advances in Intelligent Vehicles, pp. 45–64. Academic Press (2014)Google Scholar
  6. 6.
    Xi, M., Smith, S.: Simulating cooperative fire evacuation training in a virtual environment Using Gaming Technology. In: IEEE Virtual Reality 2014, pp. 139–140. IEEE, Minneapolis, Minnesota, USA: ©2014Google Scholar
  7. 7.
    Liu, W., Zhou, L., Xing, W., Liu, X., Yuan, B.: Creating autonomous, perceptive and intelligent virtual humans in a real-time virtual environment. Tsinghua Sci. Technol. 16(3), 233–240 (2011)CrossRefGoogle Scholar
  8. 8.
    Gilbert, R., Forney, A.: Can avatars pass the turing test? Intelligent agent perception in a 3D virtual environment. Int. J. Hum. Comput. Stud. 73, 30–36 (2015)CrossRefGoogle Scholar
  9. 9.
    Padgham, L., Winikoff, M.: Prometheus: A Practical Agent-Oriented Methodology. Ed. TermLing (2005)Google Scholar
  10. 10.
    Martinho, C., Paiva, A., Gomes, M.: Emotions for a motion: rapid development of believable panthematic agents in intelligent virtual environments. Appl. Artif. Intell. 14, 14–33 (2000)CrossRefGoogle Scholar
  11. 11.
    Brownlee, J.: Clever Algorithms - Nature Inspired Programming Recipes. Creative Commons, Australia (2012). ISBN 978-1-4467-8506-5Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Politécnico Colombiano Jaime Isaza CadavidMedellínColombia
  2. 2.Universidad Nacional de ColombiaMedellínColombia

Personalised recommendations