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@INPROCEEDINGS{,
     author = {Schumann, Ren{\'{e}} and Kurtanovic, Zijad and Timm, Ingo J.},
     editor = {M{\"{u}}ller, J{\"{o}}rg P. and Cossentino, Massimo},
   keywords = {automated negotiation, Model Driven Development, trade-off strategies},
      title = {Specification of Trade-Off Strategies for Agents: A Model-Driven Approach},
  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/chapter/10.1007%2F978-3-642-39866-7_3},
        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.}
}