An automated negotiation mechanism based on co-evolution and game theory

2002 ◽  
Author(s):  
Jen-Hsiang Chen ◽  
Kuo-Ming Chao ◽  
Nick Godwin ◽  
Colin Reeves ◽  
Peter Smith
Keyword(s):  
Game Theory ◽  
Automated Negotiation ◽  
Negotiation Mechanism

Cloud service negotiation framework for real-time E-commerce application using game theory decision system

2021 ◽  
pp. 1-12
Author(s):  
Rajkumar Rajavel ◽  
Sathish Kumar Ravichandran ◽  
Partheeban Nagappan ◽  
Kanagachidambaresan Ramasubramanian Gobichettipalayam
Keyword(s):  
Game Theory ◽  
Service Level Agreement ◽  
Optimal Solution ◽  
Cloud Service ◽  
Service Level ◽  
Third Party ◽  
Service Access ◽  
Decision System ◽  
Increasing Demand ◽  
Negotiation Mechanism

A major demanding issue is developing a Service Level Agreement (SLA) based negotiation framework in the cloud. To provide personalized service access to consumers, a novel Automated Dynamic SLA Negotiation Framework (ADSLANF) is proposed using a dynamic SLA concept to negotiate on service terms and conditions. The existing frameworks exploit a direct negotiation mechanism where the provider and consumer can directly talk to each other, which may not be applicable in the future due to increasing demand on broker-based models. The proposed ADSLANF will take very less total negotiation time due to complicated negotiation mechanisms using a third-party broker agent. Also, a novel game theory decision system will suggest an optimal solution to the negotiating agent at the time of generating a proposal or counter proposal. This optimal suggestion will make the negotiating party aware of the optimal acceptance range of the proposal and avoid the negotiation break off by quickly reaching an agreement.

A Multi-Agent-Based Automatic Negotiation for Distributed Manufacturing

2009 ◽  
Vol 16-19 ◽  
pp. 941-945
Author(s):  
Gui He Wang ◽  
Peng Cheng Su ◽  
Hu Li ◽  
Wan Shan Wang
Keyword(s):  
Automated Negotiation ◽  
Multilateral Negotiation ◽  
Agent Based ◽  
Negotiation Strategies ◽  
Multilateral Negotiations ◽  
Bilateral Contracts ◽  
Automatic Negotiation ◽  
Multi Agent ◽  
Negotiation Mechanism ◽  
Agent Structure

The concept of agent and multi-agent was introduced. The agent structure, negotiation strategies, and the negotiation mechanism were also researched. Based multi-agent, an automated negotiation method for bilateral contracts is proposed, which can efficiently carry out multilateral negotiations with multi-attributes in distributed environments. This framework supports efficiently multilateral negotiation. In the end, the negotiation is conducted and demonstrated that multi-agent can improve negotiation efficiency by saving negotiation time and cost.

Game theory-based negotiation for multiple robots task allocation

Robotica ◽  
2013 ◽  
Vol 31 (6) ◽  
pp. 923-934 ◽  
Author(s):  
Rongxin Cui ◽  
Ji Guo ◽  
Bo Gao
Keyword(s):  
Game Theory ◽  
Task Allocation ◽  
Optimal Solution ◽  
Multiple Robots ◽  
Negotiation Strategy ◽  
Contract Net ◽  
Initial Task ◽  
The Game Theory ◽  
Task Reallocation ◽  
Negotiation Mechanism

SUMMARYThis paper investigates task allocation for multiple robots by applying the game theory-based negotiation approach. Based on the initial task allocation using a contract net-based approach, a new method to select the negotiation robots and construct the negotiation set is proposed by employing the utility functions. A negotiation mechanism suitable for the decentralized task allocation is also presented. Then, a game theory-based negotiation strategy is proposed to achieve the Pareto-optimal solution for the task reallocation. Extensive simulation results are provided to show that the task allocation solutions after the negotiation are better than the initial contract net-based allocation. In addition, experimental results are further presented to show the effectiveness of the approach presented.

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