Multi-agent negotiation strategies utilizing heuristics for the flow of AGVs

2007 ◽  
Vol 45 (2) ◽  
pp. 309-322 ◽  
Author(s):  
Andrew Wallace
Keyword(s):  
Negotiation Strategies ◽  
Agent Negotiation ◽  
Multi Agent

Multi-Agent Negotiation Paradigm for Agent Selection in B2C E-Commerce

2012 ◽  
pp. 164-186
Author(s):  
Bireshwar Dass Mazumdar ◽  
Swati Basak ◽  
Neelam Modanwal
Keyword(s):  
Cognitive Model ◽  
Multi Agent System ◽  
Agent System ◽  
Negotiation Model ◽  
Negotiation Strategies ◽  
Agent Negotiation ◽  
Customer Relation Management ◽  
Agent Selection ◽  
Multi Agent

Multi agent system (MAS) model has been extensively used in the different tasks of E-Commerce such as customer relation management (CRM), negotiation and brokering. The objective of this paper is to evaluate a seller agent’s various cognitive parameters like capability, trust, and desire. After selecting a best seller agent from ordering queue, it applies negotiation strategies to find the most profitable proposal for both buyer and seller. This mechanism belongs to a semi cooperative negotiation type, and selecting a seller and buyer agent pair using mental and cognitive parameters. This work provides a logical cognitive model, logical negotiation model between buyer agent and selected seller agent.

Multi-Agent Negotiation Paradigm for Agent Selection in B2C E-Commerce

2011 ◽  
Vol 3 (2) ◽  
pp. 33-52 ◽  
Author(s):  
Bireshwar Dass Mazumdar ◽  
Swati Basak ◽  
Neelam Modanwal
Keyword(s):  
Cognitive Model ◽  
Multi Agent System ◽  
Agent System ◽  
Negotiation Model ◽  
Negotiation Strategies ◽  
Agent Negotiation ◽  
Customer Relation Management ◽  
Agent Selection ◽  
Multi Agent

Multi agent system (MAS) model has been extensively used in the different tasks of E-Commerce such as customer relation management (CRM), negotiation and brokering. The objective of this paper is to evaluate a seller agent’s various cognitive parameters like capability, trust, and desire. After selecting a best seller agent from ordering queue, it applies negotiation strategies to find the most profitable proposal for both buyer and seller. This mechanism belongs to a semi cooperative negotiation type, and selecting a seller and buyer agent pair using mental and cognitive parameters. This work provides a logical cognitive model, logical negotiation model between buyer agent and selected seller agent.

scholarly journals A Faithful Mechanism for Incremental Multi-Agent Agreement Problems with Self-Interested and Privacy-Preserving Agents

2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Farzaneh Farhadi ◽  
Nicholas R. Jennings
Keyword(s):  
Information Leakage ◽  
Optimal Strategies ◽  
Privacy Preserving ◽  
Limited Attention ◽  
Limited Information ◽  
Multi Agent Systems ◽  
Negotiation Strategies ◽  
Multi Agent ◽  
Theoretical And Numerical Analysis ◽  
Negotiation Mechanism

AbstractDistributed multi-agent agreement problems (MAPs) are central to many multi-agent systems. However, to date, the issues associated with encounters between self-interested and privacy-preserving agents have received limited attention. Given this, we develop the first distributed negotiation mechanism that enables self-interested agents to reach a socially desirable agreement with limited information leakage. The agents’ optimal negotiation strategies in this mechanism are investigated. Specifically, we propose a reinforcement learning-based approach to train agents to learn their optimal strategies in the proposed mechanism. Also, a heuristic algorithm is designed to find close-to-optimal negotiation strategies with reduced computational costs. We demonstrate the effectiveness and strength of our proposed mechanism through both game theoretical and numerical analysis. We prove theoretically that the proposed mechanism is budget balanced and motivates the agents to participate and follow the rules faithfully. The experimental results confirm that the proposed mechanism significantly outperforms the current state of the art, by increasing the social-welfare and decreasing the privacy leakage.

Multi-Agent Negotiation in B2C E-Commerce Based on Data Mining Methods

2010 ◽  
Vol 6 (4) ◽  
pp. 46-70 ◽  
Author(s):  
Bireshwar Dass Mazumdar ◽  
R. B. Mishra
Keyword(s):  
Negotiation Process ◽  
Prototype System ◽  
Communication Model ◽  
Multi Agent System ◽  
Utility Model ◽  
Price Response ◽  
Agent Negotiation ◽  
Customer Relation Management ◽  
Multi Agent ◽  
A Company

The Multi agent system (MAS) model has been extensively used in the different tasks of e-commerce like customer relation management (CRM), negotiation and brokering. For the success of CRM, it is important to target the most profitable customers of a company. This paper presents a multi-attribute negotiation approach for negotiation between buyer and seller agents. The communication model and the algorithms for various actions involved in the negotiation process is described. The paper also proposes a multi-attribute based utility model, based on price, response-time, and quality. In support of this approach, a prototype system providing negotiation between buyer agents and seller agents is presented.

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