Abstract
In many recent computer games there has been an increased use of Non-Player Characters as quest givers, tradesmen, members of the general public and as quest companions for the players. All these roles call for intelligent bots that can give the player an engaging experience by adjusting and adapting to the players’ style of play. They need to behave as actors in a virtual improvisational theatre. They need to perform in a manner that the player finds believable and engaging so that the player becomes sufficiently immersed in the interactive drama and keeps coming back for more. The bot’s intelligence needs to be both robust to respond to player actions and sufficiently complex to handle character traits, emotions and complex decision making that resembles that of a human player. A balance needs to be maintained between the bots’ believability and their entertainment value for the player, as these two goals may be at odds in some situations.
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References
Arinbjarnar, M., Kudenko, D.: Schemas in directed emergent drama. In: Proceedings of the 1st Joint International Conference on Interactive Digital Storytelling (ICIDS08), Erfurt (2008)
Arinbjarnar, M., Kudenko, D.: Duality of actor and character goals in virtual drama. In: Proceedings of the 9th International Conference on Intelligent Virtual Agents, Amsterdam (2009)
Arinbjarnar, M., Kudenko, D.: Bayesian networks: real-time applicable decision mechanisms for intelligent agents in interactive drama. In: Computational Intelligence and Games (CIG), Copenhagen, Aug 2010
Aylett, V., Dias, J., Paiva, A.: An affectively driven planner for synthetic characters. In: Proceedings of International Conference on Automated Planning and Scheduling (ICAPS06), UK (2006)
Ball, G., Breese, J.: Relating personality and behavior: posture and gestures. In: Paiva, A. (ed.) Affective Interactions, pp. 196–203. Springer, Berlin (2000)
Bioware. Newerwinter nights. http://nwn.bioware.com/ (2002)
Bohus, D., Horvitz, E.: Dialog in the open world: platform and applications. In: Proceedings of the 2009 international conference on Multimodal interfaces (ICMI-MLMI ’09), pp. 31–38. ACM, New York (2009)
Choi, D., Konik, T., Nejati, N., Park, C., Langley, P.: A believable agent for first-person shooter games. In: Proceedings of the Third Annual Artificial Intelligence and Interactive Digital Entertainment Conference, pp. 71–73. AAAI Press, Stanford (2007)
Sony Computer Entertainment. Heavy Rain, http://www.heavyrainps3.com/ (2009)
FASA. Star trek: The role playing game (1982)
Flaubert, G.: Madame Bovary. France, Paris (1856)
Freytag, G.: Technique of the Drama. Benjamin Blom, New York (1863)
Goodman Games. Etherscope, http://www.goodman-games.com/etherscope.html (2006)
Glymour, C., Danks, D.: Reasons as causes in bayesian epistemology. J. Philos. 104(9), 464–474 (2007)
Gmytrasiewicz, P.J., Durfee, E.H.: A rigorous, operational formalization of recursive modeling. In: International Conference on Multiagent Systems, pp. 125–132 (1995)
Gorman, B., Thurau, C., Bauckhage, C., Humphrys, M.: Believability testing and bayesian imitation in interactive computer games. In: From Animals to Animats 9, vol. 4095, pp. 655–666. Springer, Berlin (2006)
Gygax, G.: Dungeon Module B2: The Keep on the Borderlands—Introductory Module for Character Levels 1–3. Berkeley Top Line Distributing, Berkeley (1980)
Hall, L., Woods, S., Aylett, R., Newall, L., Paiva, A.: Achieving empathic engagement through affective interaction with synthetic characters. In: Proceedings of the International Conference on Affective Computing and Intelligent Interfaces, pp. 731–738. Springer, Berlin (2005) (LNCS 3784)
Horvitz, E., Paek, T.: A computational architecture for conversation. In: Proceedings of the Seventh International Conference on User Modeling (UM’99), pp. 201–210. Springer, New York (1999)
Le Hy, R., Arrigoni, A., Bessiere, P., Lebeltel, O: Teaching bayesian behaviours to video game characters. Robotics and Autonomous Systems (Elsevier) Special issue: Robot Learning from Demonstration, 47, 177–185 (2004)
Dias, J., Paiva, A.: Feeling and Reasoning: A Computational Model for Emotional Characters. In: 12th Portuguese Conference on Artificial Intelligence (EPIA 2005), pp. 127–140. Springer, Berlin (2005)
Jensen, F. V.: Bayesian Networks and Decision Graphs. Springer, Berlin (2001)
Juul, J.: Games telling stories? Int. J. Comput. Game Res. 1(1) (2001)
Koller, D., Pfeffer, A.: Object-oriented bayesian networks. In: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, pp. 302–313. San Francisco (1997)
Linden Lab. Second Life, http://secondlife.com/, June (2008)
Lagnado, D.A., Waldmann, M.R., Hagmayer, Y., Sloman, S.A.: Beyond covariation: cues to causal structure. In: Gopnik, A., Schultz, L. (eds.) Causal Learning: Psychology, Philosophy, and Computation, 1st edn. Oxford University Press, USA, (2007)
Laurel, B.: Computers as Theater. Addison-Wesley Publishing Company, Boston (1993)
Laws, R.D.: Robin’s Laws of Good Game Mastering. Steve Jackson Games, Austin (2002)
Lin, Y., Druzdzel, M.: Computational advantages of relevance reasoning in bayesian belief networks. In: Proceedings of the 13th Annual Conference on Uncertainty in Artificial Intelligence (UAI-97), pp. 342–35. Morgan Kaufmann, San Francisco (1997)
Bethesda Softworks LLC. Fallout 3. http://fallout.bethsoft.com/index.html (2002)
Magerko, B.: Story representation and interactive drama. In: Proceedings of the Artificial Intelligence and Interactive Digital Entertainment conference (AIIDE) (2005)
Magerko, B.: Player modeling in the interactive drama architecture. Ph.D. thesis, The Department of Computer Science and Engineering, University of Michigan (2006)
Mateas, M.: Interactive drama, art, and artificial intelligence. Ph.D. thesis, School of Computer Science, Carnegie Mellon University, Pittsburgh. Technical Report CMU-CS-02-206 (2002)
Mateas, M., Stern, A.: Build it to understand it: ludology meets narratoloy in game design space. In: Proceedings of the Digital Interactive Games Research Association Conference, Vancouver. Included in the Selected Papers volume, June 2005
Mozgovoy, M., Umarov, I.: Building a believable agent for a 3D boxing simulation game. In: 2010 Second International Conference on Computer Research and Development, pp. 46–50. May 2010
Nash, J.: Non-Cooperative Games. Ann. Math. 54(2), 286–295 (1951)
Oxford, English: and Dictionary. Oxford University Press, Oxford English Dictionary (2007)
Paiva, A., Dias, J., Sobral, D., Ayllet, R., Sobreperez, P., Woods, S., Zoll, C., Hall, L.: Caring for agents and agents that care: building emphatic relations with synthetic agents. In: Proceedings of the Autonomous Agents and Multi-agent Systems (AAMAS), ACM Press, UK (2004)
Pizzi, D., Cavazza, M.: Affective storytelling based on characters’ feelings. In: Proceedings of the AAAI Fall Symposium on Intelligent Narrative Technologies, Arlington, Nov 2007
Pizzi, D., Charles, F., Lugrin, J., Cavazza, M.: Interactive storytelling with literary feelings, In: Proceedings of the Second International Conference on Affective Computing and Intelligent Interaction (ACII), Lisbon, Sept 2007
Riedl, M.O., Saretto, C., Young, R.M.: Managing interaction between users and agents in a multi-agent storytelling environment. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) (2003)
Schiesel, S.: Dungeon masters in cyberspace. The New York Times (2006)
Schiesel, S.: Gary Gygax, game pioneer, dies at 69. The New York Times, 157(54240) (2008)
Swartjes, I., Vromen, J.: Emergent story generation: lessons from improvisational theater. In: Proceedings of the AAAI Fall Symposium on Intelligent Narrative Technologies, Arlington, Nov 2007
Swartjes, I., Vromen, J., Bloom, N.: Narrative inspiration: using case based problem solving to support emergent story generation. In: Proceedings of the International Joint Workshop on Computational Creativity, Goldsmiths, University of London, June 2007
Tencé, F., Buche, C., De Loor, P., Marc, O.: The challenge of believability in video games: definitions, agents models and imitation learning. CoRR, abs/1009.0451 (2010)
Tenenbaum, J.B., Griffiths, T.L.: Structure learning in human causal induction. Adv. Neural Inf. Process. Syst. 13, 59–65 (2001)
Thue, D., Bulitko, V., Spetch, M.: Passage: a demonstration of player modelling in interactive storytelling. In: The Fourth Conference on Artificial Intelligence and Interactive Digital Entertainment, AAAI Press, Palo Alto (2008)
Ubisoft. Assassin’s Creed II, http://assassinscreed.uk.ubi.com/assassins-creed-2/ (2009)
GSC Game World. S.T.A.L.K.E.R., http://www.stalker-game.com/ (2009)
Young, R.M., Riedl, M.: Towards an architecture for intelligent control of narrative in interactive virtual worlds. In: Proceedings of the International Conference on Intelligent User Interfaces, Jan 2003
Young, R.M., Riedl, M.O., Branly, M., Jhala, A., Martin, R.J., Saretto, C.J.: An architecture for integrating plan-based behavior generation with interactive game environments. J. Game Dev. Vol. 1 (2004)
Zhao, R., Szafron, D.: Learning character behaviors using agent modeling in games. In: Proceedings of the Fifth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-09), pp. 179–185, Oct 2009
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Arinbjarnar, M., Kudenko, D. (2013). Actor Bots. In: Hingston, P. (eds) Believable Bots. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32323-2_3
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