Abstract
Some daily tasks can be tedious or consume a great amount of time for humans to finish, such as scheduling a meeting, organize a trip, find a job, buy a house and so on. However, using agents to perform our daily tasks requires social interaction and conflicts resolution. Many negotiating agents have been implemented to manage and solve these conflicts. Although, up until now, truly autonomous negotiators have rarely been deployed in real-world applications. In order to take one step further towards these limitations, we propose a negotiating BDI-agent based on Multi-Context Systems that use bounded rationality during the negotiation. Multi-Context Systems enable the agent to reason under the presence of many types of information, where each context may use different types of logic. As a type of bounded rationality, Aspiration Adaptation Theory can be used to define the most important issues. To illustrate our proposal, we modeled a round of a real-world negotiation scenario, where an agent has to negotiate the hiring terms of a job under a limited time session and a high number of possible agreements.
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de Mello, R.R.P., Gelaim, T.Â., Silveira, R.A. (2019). Negotiating Agents: A Model Based on BDI Architecture and Multi-Context Systems Using Aspiration Adaptation Theory as a Negotiation Strategy. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_31
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DOI: https://doi.org/10.1007/978-3-319-93659-8_31
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