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Towards a ‘Smart’ Collaborative Virtual Environment and Multi-agent Approach to Designing an Intelligent Virtual Agent

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Agent Environments for Multi-Agent Systems IV

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9068))

Abstract

Increasing interest in Collaborative Virtual Environments (CVEs) in different applications has imposed new requirements on the design of the CVEs and the resident Intelligent Virtual Agents (IVAs). In addition to cognitive abilities, IVAs in CVEs require social and communication behaviours. The use of a Multi-Agent System (MAS) has been a successful approach to address the variety of evolving abilities needed by an IVA. In this paper, a model of a ‘smart’ CVE is presented. This CVE model publicizes the properties and the possible events of each entity located in the sensory range of the nearby IVAs. Additionally, this CVE model offers a level of abstraction for the IVAs to interact with the entities in the CVE. This level of the abstraction is distributed within the design of the resident IVAs. Moreover, this paper presents a MAS-based IVA design. This IVA is able to collaborate with humans in CVEs. The proposed model simulates humans by including input, output and processing modules. In addition, the model coordinates the IVA’s verbal and non-verbal communication to convey its internal state while achieving a collaborative task.

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References

  1. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs (2003)

    MATH  Google Scholar 

  2. Weyns, D., Van Dyke Parunak, H., Michel, F., Holvoet, T., Ferber, J.: Environments for multiagent systems state-of-the-art and research challenges. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds.) E4MAS 2004. LNCS (LNAI), vol. 3374, pp. 1–47. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  3. Giuffra, P., Cecilia, E., Ricardo, A.S.: A multi-agent system model to integrate virtual learning environments and intelligent tutoring systems. IJIMAI 2, 51–58 (2013)

    Article  Google Scholar 

  4. Fenghui, R., Minjie, Z., Soetanto, D., XiaoDong, S.: Conceptual design of a multi-agent system for interconnected power systems restoration. IEEE Trans. Power Syst. 27, 732–740 (2012)

    Article  Google Scholar 

  5. Crooks, A., Heppenstall, A.: Introduction to agent-based modelling. In: Heppenstall, A.J., Crooks, A.T., See, L.M., Batty, M. (eds.) Agent-Based Models of Geographical Systems, pp. 85–105. Springer, Dordrecht (2012)

    Chapter  Google Scholar 

  6. Weyns, D., Omicini, A., Odell, J.: Environment as a first class abstraction in multiagent systems. Auton. Agent. Multi-Agent Syst. 14, 5–30 (2007)

    Article  Google Scholar 

  7. Snowdon, D., Churchill, E., Munro, A.: Collaborative virtual environments: digital spaces and places for CSCW: an introduction. In: Churchill, E., Snowdon, D., Munro, A. (eds.) Collaborative Virtual Environments, pp. 3–17. Springer, London (2001)

    Chapter  Google Scholar 

  8. Nass, C., Fogg, B.J., Moon, Y.: Can computers be teammates? Int. J. Hum. Comput. Stud. 45, 669–678 (1996)

    Article  Google Scholar 

  9. Giraldo, F., María, À., Rojas, J., Esteban, P., Trefftz, H.: Collaborative virtual environments for teaching physics. In: Iskander, M. (ed.) Innovations in E-learning, Instruction Technology, Assessment, and Engineering Education, pp. 89–93. Springer, Dordrecht (2007)

    Chapter  Google Scholar 

  10. Lorenzo, C.-M., Lorenzo, C.-M., Sánchez, M.A., Sicilia, S.: Studying the effectiveness of multi-user immersive environments for collaborative evaluation tasks. Comput. Educ. 59, 1361–1376 (2012)

    Article  Google Scholar 

  11. Holmberg, N., Wunsche, B., Tempero, E.: A framework for interactive web-based visualization. In: The 7th Australasian User Interface Conference (AUIC 2006), pp. 137–144. Australian Computer Society, Inc. (2006)

    Google Scholar 

  12. Chee, Y.S., Hooi, C.M.: C-VISions: socialized learning through collaborative, virtual, interactive simulations. In: Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community, pp. 687–696. International Society of the Learning Sciences, Boulder (2002)

    Google Scholar 

  13. Zhenyu, Y., Bin, Y., Wanmin, W., Nahrstedt, K., Diankov, R., Bajscy, R.: A study of collaborative dancing in tele-immersive environments. In: Eighth IEEE International Symposium on Multimedia (ISM 2006), pp. 177–184 (2006)

    Google Scholar 

  14. Bratman, M.E.: Intentions, Plans and Practical Reason. Harvard University Press, Cambridge (1987)

    Google Scholar 

  15. Helleboogh, A., Vizzari, G., Uhrmacher, A., Michel, F.: Modeling dynamic environments in multi-agent simulation. Auton. Agent. Multi-Agent Syst. 14, 87–116 (2007)

    Article  Google Scholar 

  16. Anastassakis, G., Ritchings, T., Panayiotopoulos, T.: Multi-agent systems as intelligent virtual environments. In: Baader, F., Brewka, G., Eiter, T. (eds.) KI 2001. LNCS (LNAI), vol. 2174, pp. 381–395. Springer, Heidelberg (2001)

    Google Scholar 

  17. Rockel, S., Klimentjew, D., Jianwei, Z.: A multi-robot platform for mobile robots - a novel evaluation and development approach with multi-agent technology. In: IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2012), pp. 470–477 (2012)

    Google Scholar 

  18. Rodríguez, S., de Paz, Y., Bajo, J., Corchado, J.M.: Social-based planning model for multiagent systems. Expert Syst. Appl. 38, 13005–13023 (2011)

    Article  Google Scholar 

  19. Stone, P., Veloso, M.: Multiagent systems: a survey from a machine learning perspective. Auton. Robots 8, 345–383 (2000)

    Article  Google Scholar 

  20. Valckenaers, P., Sauter, J., Sierra, C., Rodriguez-Aguilar, J.: Applications and environments for multi-agent systems. Auton. Agent Multi-Agent Syst. 14, 61–85 (2007)

    Article  Google Scholar 

  21. Steels, L.: Exploiting analogical representations. Robot. Auton. Syst. 6, 71–88 (1990)

    Article  Google Scholar 

  22. Viroli, M., Holvoet, T., Ricci, A., Schelfthout, K., Zambonelli, F.: Infrastructures for the environment of multiagent systems. Auton. Agent. Multi-Agent Syst. 14, 49–60 (2007)

    Article  Google Scholar 

  23. Grimaldo, F., Lozano, M., Barber, F., Vigueras, G.: Animating groups of socially intelligent agents. In: International Conference on Cyberworlds (CW 2007), pp. 136–143 (2007)

    Google Scholar 

  24. Barella, A., Carrascosa, C., Botti, V.: Agent architectures for intelligent virtual environments. In: IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2007), pp. 532–535 (2007)

    Google Scholar 

  25. Amo, F.A., Velasco, F.F., Gómez, G.L., Jiménez, J.P.R., Camino, F.J.S.: Intelligent virtual agent societies on the internet. In: de Antonio, A., Aylett, R.S., Ballin, D. (eds.) IVA 2001. LNCS (LNAI), vol. 2190, pp. 100–111. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  26. Mahdjoub, M., Monticolo, D., Gomes, S., Sagot, J.-C.: A collaborative design for usability approach supported by virtual reality and a multi-agent system embedded in a PLM environment. Comput. Aided Des. 42, 402–413 (2010)

    Article  Google Scholar 

  27. van Oijen, J., Dignum, F.: Agent communication for believable human-like interactions between virtual characters. In: Dignum, F., Brom, C., Hindriks, K., Beer, M., Richards, D. (eds.) CAVE 2012. LNCS, vol. 7764, pp. 37–54. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  28. Buche, C., Querrec, R., De Loor, P., Chevaillier, P.: MASCARET: pedagogical multi-agents systems for virtual environment for training. In: Proceedings of 2003 International Conference on Cyberworlds, 2003, pp. 423–430 (2003)

    Google Scholar 

  29. Cai, L., Wang, T., Zhang, J., Luo, Z.: Modeling mine virtual environment based on multi-agent. In: International Conference on Intelligent Human-Machine Systems and Cybernetics, 2009, IHMSC 2009, pp. 257–261 (2009)

    Google Scholar 

  30. Platon, E., Mamei, M., Sabouret, N., Honiden, S., Parunak, H.V.: Mechanisms for environments in multi-agent systems: survey and opportunities. Auton. Agent. Multi-Agent Syst. 14, 31–47 (2007)

    Article  Google Scholar 

  31. Smith-Jentsch, K.A., Johnston, J.H., Payne, S.C.: Measuring team-related expertise in complex environments. In: Cannon-Bowers, J.A., Salas, E. (eds.) Decision Making Under Stress: Implications for Individual and Team Training, pp. 61–87. American Psychological Association, Washington, D.C. (1998)

    Chapter  Google Scholar 

  32. van Wissen, A., Gal, Y., Kamphorst, B.A., Dignum, M.V.: Human-agent teamwork in dynamic environments. Comput. Hum. Behav. 28, 23–33 (2012)

    Article  Google Scholar 

  33. Dignum, V.: A Model for Organizational Interaction: Based on Agents, Founded in Logic. Ph.D. thesis, Utrecht University (2004)

    Google Scholar 

  34. Canedo-Rodriguez, A., Alvarez-Santos, V., Regueiro, C.V., Pardo, X.M., Iglesias, R.: Multi-agent system for fast deployment of a guiderobot in unknown environments. J. Phys. Agents 6, 31–41 (2012)

    Google Scholar 

  35. Weyns, D., Helleboogh, A., Holvoet, T., Schumacher, M.: The agent environment in multi-agent systems: a middleware perspective. Multiagent Grid Syst. 5, 93–108 (2009)

    Article  MATH  Google Scholar 

  36. Gillies, M., Robeterson, D., Ballin, D.: Direct manipulation like tools for designing intelligent virtual agents. In: Panayiotopoulos, T., Gratch, J., Aylett, R.S., Ballin, D., Olivier, P., Rist, T. (eds.) IVA 2005. LNCS (LNAI), vol. 3661, pp. 430–441. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  37. Aylett, R., Cavazza, M.: Intelligent virtual environments: a state-of-the-art report. In: Eurographics 2001, STAR Reports volume, pp. 87–109 (2001)

    Google Scholar 

  38. Luck, M., Aylett, R.: Applying artificial intelligence to virtual reality: intelligent virtual environments. Appl. Artif. Intell. 14, 3–32 (2000)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computing, Macquarie University, Sydney, NSW, 2109, Australia

    Nader Hanna & Deborah Richards

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  1. Nader Hanna
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  2. Deborah Richards
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Correspondence to Nader Hanna .

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Editors and Affiliations

  1. Linnaeus University Department of Computer Science, Växjö, Sweden

    Danny Weyns

  2. Université Montpellier II , Montpellier, France

    Fabien Michel

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Hanna, N., Richards, D. (2015). Towards a ‘Smart’ Collaborative Virtual Environment and Multi-agent Approach to Designing an Intelligent Virtual Agent. In: Weyns, D., Michel, F. (eds) Agent Environments for Multi-Agent Systems IV. Lecture Notes in Computer Science(), vol 9068. Springer, Cham. https://doi.org/10.1007/978-3-319-23850-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-23850-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23849-4

  • Online ISBN: 978-3-319-23850-0

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