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Specification of Trade-Off Strategies for Agents: A Model-Driven Approach
Type of publication: Inproceedings
Citation:
Booktitle: Agent-Oriented Software Engineering XIII
Series: Lecture Notes in Computer Science
Volume: 7852
Year: 2013
Pages: 40 - 55
Publisher: Springer
Location: Berlin, Heidelberg
Note: Revised and extended version of AAMAS 2012 workshop paper
ISBN: 978-3-642-39865-0
URL: http://link.springer.com/chapt...
DOI: 10.1007/978-3-642-39866-7_3
Abstract: Negotiation is an important part of today’s business pro- cesses on an inter-enterprise level. Agent research offers a variety of ap- proaches and tools to automate negotiations. Currently these technolo- gies have the drawback that the human manager retains the responsi- bility for the outcome of a negotiation, but this person most often does not have the required knowledge to define the agent’s behavior by him- self. To increase acceptability of automated negotiation approaches, we consider it necessary that human negotiators can specify the strategies for the agents. In this article we present a meta model, which enables human negotiators to specify trade-off strategies. Trade-off strategies are a key concept in negotiation in general. This meta model is based on the Ecore meta model. The specified trade-off strategies can automatically be transformed into representations that can be used by an agent. Our meta model provides a model and a graphical notation that allows it to create graphical editors for trade-off strategies. Therefore, it becomes possible to specify trade-off strategies without any programming knowledge.
Keywords: automated negotiation, Model Driven Development, trade-off strategies
Authors Schumann, René
Kurtanovic, Zijad
Timm, Ingo J.
Editors Müller, Jörg P.
Cossentino, Massimo
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Total mark: 0
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