scholarly journals Multi-Agent Auction Based Simulation Tool for an Insurance Policy Market

2014 ◽  
Vol 15 (1) ◽  
pp. 5-13
Author(s):  
Egons Lavendelis ◽  
Janis Grundspenkis
Keyword(s):  
Evaluation Model ◽  
Insurance Companies ◽  
Simulation Tool ◽  
Insurance Policy ◽  
Negotiation Protocol ◽  
Agent Negotiation ◽  
Proposed Model ◽  
Multi Agent ◽  
New Type

Abstract The paper presents a simulation tool for automated interactions between insurance companies and their clients during the travel insurance buying process. Insurance deal evaluation model using price and insured risks has been developed based on the study of the Latvian insurance market. The proposed model is used together with well-known agent auction protocols, thus providing a multi-agent negotiation protocol. It allows automating one-to-many negotiations between client and insurance companies simulating electronic insurance policy marketplace. The simulation tool has been developed using the MASITS methodology and tool, thus providing a case study for the methodology and tool for a new type of systems

scholarly journals An Extended Multi-Agent Negotiation Protocol

2004 ◽  
Vol 8 (1) ◽  
pp. 5-45 ◽  
Author(s):  
Samir Aknine ◽  
Suzanne Pinson ◽  
Melvin F. Shakun
Keyword(s):  
Negotiation Protocol ◽  
Agent Negotiation ◽  
Multi Agent

Negotiation Protocol Based on Budget Approach for Adaptive Manufacturing Scheduling

2012 ◽  
pp. 35-58
Author(s):  
Paolo Renna ◽  
Rocco Padalino
Keyword(s):  
Manufacturing Systems ◽  
Financial Asset ◽  
Simulation Environment ◽  
Decentralized System ◽  
Dynamic Conditions ◽  
Negotiation Protocol ◽  
Manufacturing Operations ◽  
System A ◽  
Agent Scheduling ◽  
Multi Agent

The research proposed concerns the development of a multi-agent scheduling approach able to support manufacturing systems in different dynamic conditions. The negotiation protocol defined budget approach is based on a financial asset that each part obtains when it is released into the manufacturing system for processing. The part spends the budget to perform the manufacturing operations by the workstations; the virtual market in which part agent and workstation agents coordinate the decentralized system. A fuzzy tool is proposed to assign the budget to each part based on the objectives pursued. A simulation environment based on Rockwell ARENA® platform has been developed in order to test the proposed approach. The simulations are used to compare the proposed approach with classical dynamical scheduling approaches proposed in literature. The results show how the proposed approach leads to better results, and it can be selective among the different priority of the parts.

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.

Sign in / Sign up

Export Citation Format

Share Document