AAAI Publications, Eighth Artificial Intelligence and Interactive Digital Entertainment Conference

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Glengarry Glen Ross: Using BDI for Sales Game Dialogues
Tijmen Joppe Muller, Annerieke Heuvelink, Karel Bosch, van den, Ivo Swartjes

Last modified: 2012-10-07


Serious games offer an opportunity for players to learn communication skills by practicing conversations with nonplaying characters (NPCs). To realize this potential, the player needs freedom of play to discover the relationships between its actions and their effects on the partner and the conversation. Scripting is currently the common approach to design in-game dialogue. Although scripting is a robust technique, the approach tends to produce deterministic conversations, allowing little control to the player. It is claimed that a Belief-Desire-Intention (BDI) approach to model the behavior of NPCs allows greater freedom to the player, and delivers better scalability and re-use of dialogues. This claim is evaluated by using BDI in the development of a sales-talk training game in the real-estate domain. It is concluded that BDI enables representative NPCs that respond appropriately and the game allows the player its freedom of choice to explore. The results also showed that BDI brings about new challenges to address, in order to further increase the quality of in-game dialogue.


intelligent agents; behavior modeling; training; virtual humans; serious gaming; BDI

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