Non-Player Characters and Artificial Intelligence

Author:

Pereira Gonçalo1,Brisson António1,Dias João1,Carvalho André1,Dimas Joana1,Mascarenhas Samuel1,Campos Joana1,Vala Marco1,Leite Iolanda1,Martinho Carlos1,Prada Rui1,Paiva Ana1

Affiliation:

1. INESC-ID, Portugal & University of Lisbon, Portugal

Abstract

Serious Games rely on interactive systems to provide an efficient communication medium between the tutor and the user. Designing and implementing such medium is a multi-disciplinary task that aims at an environment that engages the user in a learning activity. User engagement is significantly related to the users' sense of immersion or his willingness to accept the reality proposed by a game environment. This is a very relevant research topic for Artificial Intelligence (AI), since it requires computational systems to generate believable behaviors that can promote the users' willingness to enter and engage in the game environment. In order to do this, AI research has been relying on social sciences, in particular psychology and sociology models, to ground the creation of computational models for non-player characters that behave according to the users' expectations. In this chapter, the authors present some of the most relevant NPC research contributions following this approach.

Publisher

IGI Global

Reference74 articles.

1. Aylett, R., Paiva, A., Dias, J., Hall, L., & Woods, S. (2009). Affective agents for education against bullying. In Affective Information Processing (pp. 75–90). London: Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-1-84800-306-4_5

2. Virtual reality, art, and entertainment.;J.Bates;Presence: The Journal of Teleoperators and Virtual Environments,1992

3. Bates, J., Loyall, A. B., & Reilly, W. S. (1994). An architecture for action, emotion, and social behavior. In Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems (pp. 55–68). London: Springer-Verlag. Retrieved from http://dl.acm.org/citation.cfm?id=646907.710645

4. Bernard, C. (1974). Lectures on the phenomena of life common to animals and plants. Thomas. Retrieved from http://books.google.pt/books?id=zMhqAAAAMAAJ

5. Campos, J., Martinho, C., Ingram, G., Vasalou, A., & Paiva, A. (2013). My dream theatre: Putting conflict in center stage. In Proceedings of 8th International Conference on the Foundations of Digital Games (FDG 2013). Foundations of Digital Games.

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