The IDEAL approach to Internet-based negotiation for e-business

Hammer, Joachim; Huang, Chunbo; Huang, Yihua; Pluempitiwiriyawej, Charnyote; Lee, M.; Li, H.; Wang, L.; Liu, Y.; Su, Stanley Y. W.

doi:10.1109/icde.2000.839486

Cited by 10 publications

(4 citation statements)

References 2 publications

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“…Negotiation (Caglayan and Harrison, 1997;Faratin et al, 1999;Guttman andMaes, 1998A, 1998B;Hammer et al, 2000;Iizuka et al, 1999;Kang and Lee, 1998;Lomuscio et al, 2000;Russell and Norvig, 1995;Sandholm and Lesser, 1997;Wu and Soo, 1999) is a popular topic in the electronic commerce of academic research. In the negotiation process, all parties involved want to obtain a better benefit with respect to their own preference.…”

Section: Negotiationmentioning

confidence: 99%

An Agent-Based Multi-Issue Negotiation System in E-Commerce

Shih¹,

Chiu²,

Hsu

2003

Journal of Electronic Commerce in Organizations

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Due to the growth of the Internet and computing power of PCs, activities in the real world have been changed with the help of computers. Internet commerce became an interesting research area along with the change of this new computing environment. In a traditional commerce environment, negotiation was an interesting topic in the past. In the new Internet commerce environment, computer-supported negotiation becomes interesting in academics. In this paper, we propose a computer-supported negotiation agent system on the Internet that helps buyers make decisions. We believe that a negotiation mechanism is based on a multi-attribute utility theory and the negotiation strategy focuses on the weighting adjustment on multiple issues. Therefore, our negotiation mechanism is based on a multi-attribute utility theory and the negotiation strategy focuses on the weighting adjustment on multiple issues. On the other hand, software agents are a useful technology in this new computing environment and the technology has several advantages in solving different computing problems. In a negotiation process, the user cannot handle the complex process individually. Also, the process is a time consuming task. Thus, we use the advantage of agent technology as the major system developed approach. With the help of the technology, the system can be more efficient in many Internet commerce applications.

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Section: Negotiationmentioning

confidence: 99%

An Agent-Based Multi-Issue Negotiation System in E-Commerce

Shih¹,

Chiu²,

Hsu

2003

Journal of Electronic Commerce in Organizations

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“…Event‐condition‐action (ECA) rules are a significant computational paradigm deployed in a variety of ways in Web applications: specifying and implementing Web‐based business processes53, 54, 55, 56, encoding user preferences in personalisation and push technology55, 57, encoding negotiation strategies in Web‐based negotiation58, and change notification59. ECA rules have their origin in production systems such as OPS5 and have been much studied in the context of modern‐day database systems where they are also known as triggers and are supported in some form by the major commercial DBMSs.…”

Section: Key Issues In Web Dynamicsmentioning

confidence: 99%

Web dynamics

Levene

Poulovassilis²

2001

Software Focus

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The global usage and continuing exponential growth of the World Wide Web poses a host of challenges to the research community. In particular, there is an urgent need to understand and manage the dynamics of the Web, in order to develop new techniques that will make the Web tractable. MARK LEVENE and ALEXANDRA POULOVASSILIS provide an overview of recent statistics relating to the size of the Web graph and its growth. They then briefly review some of the key areas relating to Web dynamics with reference to the recent literature. Finally, they summarise the talks given in a recent workshop devoted to Web dynamics, which was held in the beginning of January 2001 at the University of London. Copyright © 2001 John Wiley & Sons, Ltd.

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“…In the context of business negotiation, decision-making is how to make a decision given the message from the other negotiation agent and the internal states, specifically how to generate the response or counterproposal. [6,18] are papers about a prototypical implementation of a negotiation server based on a set of common negotiation primitives. How to physically transfer a negotiation message from one site to another is beyond the scope of the paper.…”

Section: Negotiation Primitives and Negotiation Processmentioning

confidence: 99%

A new category of business negotiation primitives for bilateral negotiation agents and associated algorithm to find Pareto optimal solutions

Proceedings Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS 2002)

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How to conduct automated business negotiation over the Internet is an important issue for agent research. In most bilateral negotiation models, two negotiation agents negotiate by sending proposals and counterproposals back and forth. Proposals and counterproposals usually use a set of negotiation primitives to define the contents. These primitives deal with complete proposals or the whole negotiation process. With these primitives, a negotiation agent can issue a call-for-proposal (CFP), reject or accept the received proposal, propose a new proposal, or terminate the whole negotiation process. However, there is no primitive about individual attributes within proposals. In this paper, we propose a new category of negotiation primitives that have finer granularities than existing primitives do. They are in the attribute level instead of the proposal level, as other primitives are. These messages can help negotiation agents to find Pareto optimal solutions if both sides agree to use them. In order to eliminate non-Pareto optimal solutions, these primitives should be used before the actual negotiation (bargaining) begins. Pareto optimal solutions help both sides to reduce the negotiation effort and time, and these solutions are theoretically preferable to non-Pareto optimal solutions.

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The IDEAL approach to Internet-based negotiation for e-business

Cited by 10 publications

References 2 publications

An Agent-Based Multi-Issue Negotiation System in E-Commerce

An Agent-Based Multi-Issue Negotiation System in E-Commerce

Web dynamics

A new category of business negotiation primitives for bilateral negotiation agents and associated algorithm to find Pareto optimal solutions

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