JMSB home |  E-negotiation project |  Inspire system |  Invite platform | 
  Home |  People |  Purpose |  Projects |  Seminars |  Papers |  Learning |  Community |  Positions  |  Français
 
 
 InterNeg Research Centre
 Suite MB-014-264
 1450 Guy Street
 Montreal, Quebec H3H 0A1
 Tel: (514) 848-2424-2799
 interneg@jmsb.concordia.ca

Predictive Intelligent Assessment of Negotiation Outlook

Members

Rustam Vahidov, Real Carbonneau, Montreal, Canada

Outline

This projects aims at developing support tools that assist in predicting opponent’s offers. The predictive model employs neural networks for accomplishing the task. The network is trained using the data from past negotiations collected through the Inspire and Invite systems. The model allows the negotiator to enter the candidate offer and see the possible counter-offer by the opponent. Thus, the negotiator could use “what-if” analysis in composing his or her offer before submitting it to the opponent. The project had started with the model built for a specific case and is progressing towards developing more generic models.

Publications

  • “Predicting Opponent's Moves In Electronic Negotiations Using Neural Networks”, Carbonneau, R., Kersten, G., & Vahidov, R., Expert Systems with Applications, 34 (2), 2008, pp. 1266-1273.
  • “Neural Network-based Model for Intelligent Negotiation Assistant”, Carbonneau, R., Kersten, G. & Vahidov, R., Group Decision and Negotiation, 2006, Karlsruhe, Germany, June 25-28, 2006.

 
  August 16, 2017
 
© Copyright 1996-2017 Gregory Kersten & The InterNeg Group
InterNeg Research Centre, Concordia University (Montreal)