An Approach on Multilateral Automated Negotiation

Abstract

In E-commerce, numbers of transactions are increasing day by day in B2B and B2C trade. Online negotiation is possible because of automated negotiation. In this paper, we propose linear programming and pattern matching based multilateral automated negotiation system and study some multilateral system with several methods. We have studied fuzzy inference logic based system, multithreading based automated negotiation system, linear programming based system and genetic algorithm based system and we have compared some methods of automated negotiation. Multilateral negotiation system gives better result to participant than bilateral automated negotiation. Technique of pattern matching based automated negotiation gives fast result and reduces overhead of calculation. © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of organizing committee of the 4th International Conference on Advances in Computing, Communication and Control (ICAC3'15).

Cognitive Fuzzy-based Behavioral Learning System for Augmenting the Automated Multi-issue Negotiation in the E-commerce Applications

“…The sequence of negotiation processes between the set of ITBAs={ITBA 1 , ITBA 2 , …, ITBA n } and SPAs={SPA 1 , SPA 2 , …, SPA m } can be formulated by the set of offers or counteroffers ρ τ ={ρ τ (1) , ρ τ (2) , ρ τ (3) , ρ τ (4) , …, ρ τ(k-1) , ρ τ(k) } exchanged concerning period τ. Here, the set ρ τ ={ρ τ (1) , ρ τ (3) , …, ρ τ(k-1) } denotes the sequence of offers generated by the ITBAs and the set ρ τ ={ρ τ (2) , ρ τ (4) , …, ρ τ(k) } denotes the sequence of counteroffers received by the ITBAs from the respective SPAs. Each negotiation offer ρ τ (1) is generated by varying the preferences of 'n' number of negotiation attributes ρ x(1) ={ρ x(1)←[0,1] , ρ x(2)←[0,1] , …, ρ x(n)←[0,1] }.…”

“…More complex and timeconsuming multilateral negotiation was introduced to dramatically improve the number of negotiation consensus among the participants. It makes the predictive decision making in the agent's negotiation strategy using fuzzy inference logic for maximizing their utility value [4].…”

Efficient Performative Actions for E-Commerce Agents

“…Their Applied Computer Systems _________________________________________________________________________________________________2020/25 21 work presents a comparison of some negotiation methods and proposes an automated negotiation system by using linear programming and matching based systems [28]. A model is described for the agents that assists them to complete a successful deal in e-commerce by assuming the aim of ecommerce domain and the goal of the agents [29]. A computational model is described for the e-commerce negotiation that covers the negotiation protocols, issues, strategies and behaviour configuration mechanism [30].…”

A Co-Opetitive Automated Negotiation Model for Vertical Allied Enterprises Teams and Stakeholders

“…Considering the challenge for the users in terms of quality-oriented selection of their required services, Hashmi et al [ 16 ] presented a social network-based trust framework ( SNRNeg ) and proposed an end-to-end automated negotiation approach of Genetic Algorithm-based Web service for modeling dependency relationships among the Quality of Service (QoS) component of Web services with static environment. Patrikar et al [ 17 ] proposed a linear programming and pattern matching based multilateral automated negotiation system and studied some multilateral system with several methods. To find a proficient mechanism helping an agent to decide under which conditions to accept opponent’s offer in a bilateral automated negotiation, Baarslag et al [ 18 ] compared the performance of various acceptance conditions in combination with a broad range of bidding strategies and negotiation scenarios, and then proposed new acceptance conditions meanwhile demonstrated their advantages relative to other conditions by numerical experiments.…”