2008 7th Computer Information Systems and Industrial Management Applications Negotiation Behaviors Based on Artificial Intelligence and Social and Cognitive Human-Agent Interaction June 26-June 28 ISBN: 978-0-7695-3184-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CISIM.2008.17
Behaviors, in which the characters such as Conciliatory (Con), Neutral (Neu), or Aggressive (Agg) define a 'psychological' aspect of the human personality, play an important role for negotiation agent. Elsewhere, learning in negotiation is fundamental for understanding human behaviors as well as for developing new solution concepts. In this paper, a brief description of SISINE (Integrated System of Simulation for Negotiation) project, which aims to develop innovative teaching methodology of negotiation skills, is given. Then, a negotiation strategy essentially based on negotiation behaviors of the human personality is suggested for SISINE. Such negotiation behaviors which are based on the characters Con, Neu, and Agg, and acquired first by reinforcement learning (Q-learning, and Sarsa-Learning) approaches, and second by Neural Networks (NN) are then developed. From this, the suggested strategy is developed and the negotiation behavior results presented. The suggested strategy displays the ability to provide agents, through a basic buying strategy, with a first intelligence level.
Index Terms:
Negotiation behaviors, machine learning, reinforcement learning, neural networks
Citation:
Amine Chohra, Arash Bahrammirzaee, Kurosh Madani, "Negotiation Behaviors Based on Artificial Intelligence and Social and Cognitive Human-Agent Interaction," cisim, pp.127-132, 2008 7th Computer Information Systems and Industrial Management Applications, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||