TY  - CONF
T1  - Specification of Trade-Off Strategies for Agents: A Model-Driven Approach
A1  - Schumann, René
A1  - Kurtanovic, Zijad
A1  - Timm, Ingo J.
ED  - Müller, Jörg P.
ED  - Cossentino, Massimo
TI  - Agent-Oriented Software Engineering XIII
T3  - Lecture Notes in Computer Science
Y1  - 2013
VL  - 7852
SP  - 40
EP  - 55
PB  - Springer
CY  - Berlin, Heidelberg
SN  - 978-3-642-39865-0
N1  - Revised and extended version of AAMAS 2012 workshop paper
UR  - http://link.springer.com/chapter/10.1007/978-3-642-39866-7_3
M2  - doi: 10.1007/978-3-642-39866-7_3
KW  - automated negotiation
KW  - Model Driven Development
KW  - trade-off strategies
N2  - 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.
ER  -