Abstract
Our long term goal is to develop autonomous robotic systems that have the cognitive abilities of humans, including communication, coordination, adapting to novel situations, and learning through experience. Cognitive architectures as theory of the fixed mechanisms and structures that underlie human cognition are the actual mechanism of making a software implementations of a general theory of intelligence. The proposed system incorporates the hypothesis behind cognitive architectures like Soar to model our particular content, an autonomous character and its cognitive processes in normal working situations as hotel bellboy, and simulated in a virtual environment. Through this work, we proposed introduce game development as a test bed for our application.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
LoBao, A., Evangelista, B., de Farias, J.A.L.: Beginning XNA 2.0 Game Programming: From Novice to Professional (2008)
Harel, D., Kugler, H.: The rhapsody semantics of statecharts (or, on the executable core of the UML), 325–354 (2004)
Vernon, D., Metta, G., Sandini, G.: A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents. IEEE Transactions on evolutionary computation, special issue on autonomous mental development (2007)
Garzón, F.J.C.: Arquitecturas de la cognición, Mente = Cerebro + Medio (2008)
LehMan, J.F., Laird, J., Rosenbloom, P.: Agentel Introduction to Soar, an Architecture for Human Cognition: 2006 Update. University of Michigan (2006)
Kienzle, J., Denault, A., Vangheluwe, H.: Model-based Design of Computer-Controlled Game Character Behavior (2007)
Kopp, S., Gesellensetter, L., Krämer, N.C., Wachsmuth, I.: A conversational agent as museum guide – design and evaluation of a real-world application. In: Panayiotopoulos, T., Gratch, J., Aylett, R.S., Ballin, D., Olivier, P., Rist, T. (eds.) IVA 2005. LNCS (LNAI), vol. 3661, pp. 329–343. Springer, Heidelberg (2005)
Laird, J., van Lent, M.: Human-level AI’s killler application: Interactive computer games. AI Magazine (2001)
Laird, J.: Extending the Soar Cognitive Architecture. In: Artificial General Intelligence Conference, Memphis, TN (2008)
Edward, L., Lourdeaux, D., Barthès, J.-P., Lenne, D., Burkhardt, J.-M.: Modelling Autonomous Virtual Agent Behaviours in a Virtual Environment for Risk. The International Journal of Virtual Reality (2008)
Newborn, M.: Deep blue’s contribution to AI. Ann. Math. Artif. Intell. 28(1-4), 27–30 (2000)
Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1990)
Langley, P., Laird, J.E., Rogers, S.: Cognitive architectures: Research issues and challenges (2006)
Ponsen, M., Spronck, P., Tuyls, K.: Towards Relational Hierarchical Reinforcement Learning in Computer Games. In: Proceedings of the 18th Benelux Conference on Artificial Intelligence, Belgium (2006)
Mohan, S., Laird, J.E.: Learning Play Mario. Technical Report CCA-TR-2009-03. Center for Cognitive Architecture. University of Michigan (2009)
Spronck, P., Ponsen, M., Sprinkhuizen-Kuyper, I., Postma, E.O.: Adaptive game AI with dynamic scripting and Machine Learning. Special Issue on Machine Learning in Games (2006)
UML Resource Page, http://www.uml.org (last access December 10, 2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Roncancio, C., G-B, J.G., Zalama, E. (2010). Modeling Virtual Agent Behavior in a Computer Game to Be Used in a Real Enviroment. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_73
Download citation
DOI: https://doi.org/10.1007/978-3-642-12433-4_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12432-7
Online ISBN: 978-3-642-12433-4
eBook Packages: EngineeringEngineering (R0)