SISINE: a Negotiation Training Dedicated Multi-Player Role-Playing Platform Using Artificial Intelligence Skills

K. K. Madani (1) , A. C. Chohra (1) , A. Bahrammirzaee , D. Kanzari

1 SYNAPSE

In recent decades, a number of trainers have used role-playing games to teach negotiation skills. The SISINE Project – funded by the EU Leonardo Program - has developed a teaching methodology making it possible to conduct this kind of approaches in a virtual environment. The teaching methodology exploits a specially-developed technology platform allowing a small community of players to communicate, to interact and to play online in order to acquire basic notions and rules about negotiation and how to apply this knowledge. A part of SISINE project has investigated Artificial Intelligence issued techniques in order to evaluate implementation’s possibility of computer-controlled “artificial players” embodying some intelligent behaviors. This chapter presents the first results of those investigations.

Mots clés: Input vector; Reinforcement learning; Multiagent system; Intelligent behavior; Negotiation skill

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

K. K. Madani, A. C. Chohra, A. Bahrammirzaee, D. Kanzari. SISINE: a Negotiation Training Dedicated Multi-Player Role-Playing Platform Using Artificial Intelligence Skills. F. Xhafa and S. Caballé and A. Abraham and T. Dardoumis and A. Juan. Computational Intelligence For Technology Enhanced Learning, Springer Series: Studies in Computational Intelligence, vol. 273, pp.169-194, 2010, ⟨10.1007/978-3-642-11224-9_8⟩. ⟨hal-01680152⟩