Strategies for Agent-Based Negotiation in E-Trade
Network and Traffic Engineering in Emerging Distributed Computing Applications
https://doi.org/10.4018/978-1-4666-1888-6.CH003…
3 pages
1 file
Sign up for access to the world's latest research
Abstract
E-negotiation handles negotiation over the Internet without human supervision and has shown effectiveness in concluding verifiable and more favorable agreements in a reasonably short time. In this chapter, the authors discuss the negotiation system and its components with particular emphasis on negotiation strategies. A negotiation strategy defines strategic tactics, which advise on the proper action to select from a set of possible actions that optimizes negotiation outcomes. A strategy should integrate negotiation goals and reactive attitudes. Usually, a fixed strategy is implemented during the course of negotiation regardless of significant decision-making factors including market status, opponent’s profile, or eagerness for a negotiated goods/service. The chapter presents the main negotiation strategies and outlines the different decision-making factors that should be considered. A strategy uses a utility function to evaluate the offer of an opponent and advises on the generatio...
Related papers
In this work we discus the process of multi-agent negotiations by means of electronic auctions and present possible approaches for finding effective solutions to the problem of resource allocation. We focus our attention on:-Centralized auction types (classic auctions, continuous double auction-CDA, etc.) – Effective allocation depends on bidding strategies. We implement new software for modeling e-auctions and propose a new methodology for evaluating bidding strategies.-Decentralized auction types (combinatorial auctions) – Auction effectiveness depends on the quality of the algorithm for winner determination. We design new heuristics for winner determination in single-and multi-item combinatorial auctions. First chapter describes the theoretical foundations of agent-based negotiations. Second chapter elaborates on MASECA (Multi-Agent Software for Electronic Commerce Auctions) and its functions as CDA-simulator. Third chapter suggests a methodology for comparison between bidding ag...
Scalable Computing: Practice and Experience, 2014
An automated negotiation environment, in which agents employ different bargaining strategies is described. During negotiation, as more information is exchanged in the negotiation rounds, the agents can change the preferences for certain attributes of the negotiation object. The multi-agent system is developed for a real estate agency business model and several use cases scenarios, using intelligent software agents, are implemented.
International Journal of Modern Trends in Engineering & Research, 2017
Domain oriented negotiation is the emergent functionality of automated E-Commerce. There are several model deployed by various researcher in there automated E-Commerce model for domain oriented negotiation strategies. In this research review paper we provide a review on various negotiation models which are deployed in various domain oriented negotiation.
2000
One of the main issues in electronic commerce is the inclusion of the negotiation facilities commonly available in human client-vendor interaction in real world commerce. E-commerce negotiation processes have usually been modeled as self-interested multi-agent systems. In these systems buyers and sellers are represented by agents that have opposite demands and decide what to do on the flight, based on the available information. However, currently e-commerce systems, such as Kasbah and Magma , provide a small number of bilateral negotiation facilities. Fortunately, some general negotiation models could be at first applied to ecommerce domain. This is typically the case of Faratin's model, which can be seen as an extension of Kasbah's. In this paper, we propose an original bilateral agent negotiation model, which extends Faratin's one. We introduce various facilities, such as alternative product suggestion, ultimatum generation, local contract agreements, etc. These facilities intend to grant users with a more flexible e-commerce environment. We present our model formalization, including the knowledge base that determines agent behavior. Some empirical validation is also presented to the case of computer purchase.
International Journal of Engineering Research and, 2016
Online or E-Shopping requires a great effort of investigation to find the best deal. Although immense information is available on World Wide Web to make smart decision in shopping, however for analyzing, comparing, and making purchase decision in e-business transaction, humans are required. Most of the developed E-Commerce businesses are still based on human intelligence. To save this investigation cum effort time, we can automate this task using some software agents which will automate this e-commerce shopping. Not just automation, we can also put the negotiation capabilities into the software agent which can help us to get the best available deal. Software agents help to automate the process of buying and selling goods and services in E-Market. To enhance the shopping process agents are the useful tools and acts as a channel between traditional market and automated E-market. This paper presents usage of negotiation protocols and intelligent agent negotiation strategies which have been mentioned in literature, responsible for price negotiation. The conclusion here is to work in automating ecommerce transaction(s) using improved negotiation strategies to enhance the experience of e-business by reducing the human effort.
Electronic Commerce Research and Applications, 2007
1999
Negotiation has traditionally been an important element in all types of commerce. As electronic commerce systems become generally available on the Internet, there is a need to support negotiation in the context of deal making. However, as in the physical world, the type of negotiation mechanism required is context dependent. In particular, we distinguish between the support required in the context of single deal and support required in coordinating negotiations across multiple deals.
Computers, materials & continua, 2019
We all negotiate, formally or informally, in jobs, in day today lives and outcomes of negotiations affect those processes of life. Although negotiation is an intrinsic nature of human psyche, it is very complex phenomenon to implement using computing and internet for the various purposes in E Commerce. Automation of negotiation process poses unique challenges for computer scientists and researchers, so here we study how negotiation can be modeled and analyzed mathematically, what can be different techniques and strategies or set of rules/protocols to be implemented and how they can be relevantly implemented. We are in a quest to find out how this complex process, which involves human psyche can be automated using computers and modern day technologies. Now, the quest is not only automation, looking at the research in the related field in last ten years; but it is all about finding solutions to make e-negotiation more efficient and more accurate, as well as useful in any kind of electronic trading situations. Here is an attempt to consolidate our work of last few years on automation of negotiation process; we call it as negotiation protocol on research, study as well as implementation level of negotiation automation. Overall, we are trying to give few solutions to make the automation more efficient.
Multimedia Software Engineering, 2000 …, 2000
Java and CORBA for the network transparency and platform independence. 403 0-7695-0933-9/00 $10.00 0 2000 IEEE
2001
The world of E-comn~rce presents ample opportunity to fully utilize the capability of intelligent agents. The highly dynamic, fast-moving and information-rich environment can often be overwhelming for the human participant. Agents can intelligently assist users by mimicking human behaviour and adapting themselves to their client's specification. This paper explores the viability of running a society of agents in a simple marketplace to negotiate on behalf of human clients. The type of agent chosen for this role is a plan-based agent. This architecture offers the flexibility and reasoning power required to maximize the possibilities presented in the environment chosen.

Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.