Experimental Evaluation of a Model for Multilateral Negotiation with Fuzzy Preferences on an Agent-based Marketplace

  title={Experimental Evaluation of a Model for Multilateral Negotiation with Fuzzy Preferences on an Agent-based Marketplace},
  author={Frank Teuteberg},
  journal={Electron. Mark.},
This paper presents a multilateral negotiation model on an agent-based job-marketplace developed at Europe-University Viadrina Frankfurt (Oder), Germany. The negotiation model is based on many negotiation issues, a fuzzy utility scoring method and simultaneous negotiation with many negotiation partners in an environment of limited negotiation time. Although the proposed negotiation model deals with agent-based negotiation in the specific context of personnel acquisition, it can be applied with… 

FuzzyMAN: An Agent-Based Electronic Marketplace with a Multilateral Negotiation Protocol

The conceptual foundations, the architecture, and the implementation of an agent-based electronic marketplace, FuzzyMAN (Fuzzy Multi-Agent Negotiations) are presented and special attention is given to the feature that the agents’ preferences are expressed in fuzzy terms.

A Negotiation Meta Strategy Combining Trade-off and Concession Moves

A meta strategy that combines two negotiation tactics, the first one based on concessions, and the second one, a trade-off tactic, to demonstrate by experimental analysis that the combination of different negotiation tactics allows agents to improve the negotiation process and to obtain more satisfactory agreements.

The Learning of an Opponent's Approximate Preferences in Bilateral Automated Negotiation

An incremental on-line learning approach by using a hybrid soft-computing technique to learn the opponent's preferences is developed and results indicate that agents which use the proposed learning approach not only have more chances to reach agreements but also will be able to find agreements with greater joint utility.

A Classification Structure for Automated Negotiations Ricardo

To date, a lot of automated negotiation models have been developed and manifold negotiation challenges have been already addressed. However, in order to evaluate the state of the art of automated

Developing a Fuzzy Multi-attribute Matching and Negotiation Mechanism for Sealed-bid Online Reverse Auctions

An easily-computed fuzzy multi-attribute matching mechanism for sealed-bid and single round auctions, which include price and attributes like quality, due dates, credit rating, etc, and are suitable for procuring direct input goods are constructed.

A Classification Structure for Automated Negotiations

  • Ricardo Buettner
  • Materials Science
    2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops
  • 2006
A taxonomy for classifying automated negotiations is proposed and the evaluation of the state of the art to this taxonomy shows the manifold addressing of negotiation challenges, but mainly related to the structure and the process of the negotiation.

FuzzyMAN: An Agent-based E-Marketplace with a Voice and Mobile User Interface

The design and implementation of voice and mobile user interfaces for accessing information on an e-marketplace called FuzzyMAN (Fuzzy Multi-Agent Negotiations) is described and a comparison of technologies for the development of voice-and-mobile user interfaces is given.


This paper analyzed 96 current electronic negotiation models concerning their ability to handle imperfect information situations. The results of the empirical investigation show that most of the



Multi-agent Negotiation under Time Constraints on an Agent-based Marketplace for Personnel Acquisition

A model for multi-agent negotiation under time constraints on an agent-based marketplace for personnel acquisition is presented. In the situation under consideration agents have contradictory aims

Anticipating Agents ' Negotiation Strategies in an E-marketplace Using Belief Models

In this paper we present a Markov Decision Process approach which gives agents the ability to learn about other agents' strategies from past negotiation steps. Over time, the agents can update their

Negotiation decision functions for autonomous agents

Dynamic Programming

Dynamic programming is a mathematical technique for solving certain types of sequential decision problems in which a sequence of decisions must be made with each decision affecting future decisions.

Dynamic Programming and Markov Processes

Fuzzy-Logik und XML zur Repräsentation von Unschärfe