Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques
نویسندگان
چکیده
منابع مشابه
A Survey of Opponent Modeling Techniques in Automated Negotiation
Negotiation is a process in which parties interact to settle a mutual concern to improve their status quo. Traditionally, negotiation is a necessary, but time-consuming and expensive activity. Therefore, in the last two decades, there has been a growing interest in the automation of negotiation. One of the key challenges for a successful negotiation is that usually only limited information is a...
متن کاملA Survey of Opponent Modeling Techniques in Automated Negotiation (JAAMAS Extended Abstract)
Negotiation is a process in which parties interact to settle a mutual concern to improve their status quo. Traditionally, negotiation is a necessary, but time-consuming and expensive activity. Therefore, in the last two decades, there has been a growing interest in the automation of negotiation. One of the key challenges for a successful negotiation is that usually only limited information is a...
متن کاملOpponent modelling in automated multi-issue negotiation using Bayesian learning
The efficiency of automated multi-issue negotiation depends on the availability and quality of knowledge about an opponent. We present a generic framework based on Bayesian learning to learn an opponent model, i.e. the issue preferences as well as the issue priorities of an opponent. The algorithm proposed is able to effectively learn opponent preferences from bid exchanges by making some assum...
متن کاملMeasuring the Performance of Online Opponent Models in Automated Bilateral Negotiation
An important aim in bilateral negotiations is to achieve a win-win solution for both parties; therefore, a critical aspect of a negotiating agent’s success is its ability to take the opponent’s preferences into account. Every year, new negotiation agents are introduced with better learning techniques to model the opponent. Our main goal in this work is to evaluate and compare the performance of...
متن کاملOpponent Modelling in Automated Multi-Issue Negotiation Using Bayesian Learning1
In bilateral negotiation, two parties aim at reaching a joint agreement. They do so by exchanging various offers or bids using e.g. an alternating offers protocol [2]. In reaching such an agreement both parties usually aim to satisfy their own interests as best as possible, but have to take their opponent’s preferences into account as well to reach an agreement at all. This is complicated by th...
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ژورنال
عنوان ژورنال: Autonomous Agents and Multi-Agent Systems
سال: 2015
ISSN: 1387-2532,1573-7454
DOI: 10.1007/s10458-015-9309-1