Abstract
We present a framework that allows two self-motivated distributed agents to perform, in an efficient way, negotiations aiming at achieving mutually satisfactory agreements, when privacy of information is an issue, and no central authority could be used. In particular, each agent has her own constraints to satisfy, as well as her own utility function. Such issues are kept private, and cannot be disclosed to the counterpart. Negotiation is hence carried out by exchanging proposals and by performing sophisticated forms of reasoning on the remote agent’s offers, by trying to infer some characteristics of the counterpart, in order to achieve efficient process convergence.
Keywords
- Utility Function
- Negotiation Process
- Local Agent
- Business Process Management
- Texture Area
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Mancini, T. (2009). Negotiation Exploiting Reasoning by Projections. In: Demazeau, Y., Pavón, J., Corchado, J.M., Bajo, J. (eds) 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). Advances in Intelligent and Soft Computing, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00487-2_35
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DOI: https://doi.org/10.1007/978-3-642-00487-2_35
Publisher Name: Springer, Berlin, Heidelberg
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