A Conceptual Automated Negotiation Model for Decision Making in the Construction Domain

2016 ◽  
pp. 13-21 ◽  
Author(s):  
Moamin A. Mahmoud ◽  
Mohd Sharifuddin Ahmad ◽  
Mohd Zaliman M. Yusoff
Keyword(s):  
Decision Making ◽  
Automated Negotiation ◽  
Negotiation Model

scholarly journals ANEGMA: an automated negotiation model for e-markets

2021 ◽  
Vol 35 (2) ◽  
Author(s):  
Pallavi Bagga ◽  
Nicola Paoletti ◽  
Bedour Alrayes ◽  
Kostas Stathis
Keyword(s):  
Reinforcement Learning ◽  
Deep Neural Network ◽  
Automated Negotiation ◽  
Learning To Learn ◽  
Negotiation Model ◽  
Negotiation Strategies ◽  
Exploration Time ◽  
Model Free ◽  
Bilateral Negotiations ◽  
Time Required

AbstractWe present a novel negotiation model that allows an agent to learn how to negotiate during concurrent bilateral negotiations in unknown and dynamic e-markets. The agent uses an actor-critic architecture with model-free reinforcement learning to learn a strategy expressed as a deep neural network. We pre-train the strategy by supervision from synthetic market data, thereby decreasing the exploration time required for learning during negotiation. As a result, we can build automated agents for concurrent negotiations that can adapt to different e-market settings without the need to be pre-programmed. Our experimental evaluation shows that our deep reinforcement learning based agents outperform two existing well-known negotiation strategies in one-to-many concurrent bilateral negotiations for a range of e-market settings.

An adaptive approach for decision making tactics in automated negotiation

2013 ◽  
Vol 39 (3) ◽  
pp. 583-606 ◽  
Author(s):  
Arash Bahrammirzaee ◽  
Amine Chohra ◽  
Kurosh Madani
Keyword(s):  
Decision Making ◽  
Automated Negotiation ◽  
Adaptive Approach
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