Abstract
Negotiation is an important part of today’s business processes on an inter-enterprise level. Agent research offers a variety of approaches and tools to automate negotiations. Currently these technologies have the drawback that the human manager retains the responsibility for the outcome of a negotiation, but this person most often does not have the required knowledge to define the agent’s behavior by himself. 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.
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Schumann, R., Kurtanovic, Z., Timm, I.J. (2013). Specification of Trade-Off Strategies for Agents: A Model-Driven Approach. In: Müller, J.P., Cossentino, M. (eds) Agent-Oriented Software Engineering XIII. AOSE 2012. Lecture Notes in Computer Science, vol 7852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39866-7_3
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DOI: https://doi.org/10.1007/978-3-642-39866-7_3
Publisher Name: Springer, Berlin, Heidelberg
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