Abstract
The aim of the paper is to propose an extension for a model of logic \(\mathcal AG_n\). Thus far, \(\mathcal AG_n\) was applied for reasoning about persuasiveness of actions in multi-agent systems, i.e., we examined which arguments, provided by agents, are successful and how big such a success is. Now we enrich our approach in order to study why these arguments are efficient and what attributes cause their success. Therefore, we propose to specify persuasive actions with three parameters: content, goal and means of sending messages. As a result, we can formally express what an agent wants to achieve by executing an action, whether this action can be successful, and if not, recognize the reasons which can cause the failure.
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Budzynska, K., Kacprzak, M., Rembelski, P. (2009). Logic for Reasoning about Components of Persuasive Actions. In: Rauch, J., RaÅ›, Z.W., Berka, P., Elomaa, T. (eds) Foundations of Intelligent Systems. ISMIS 2009. Lecture Notes in Computer Science(), vol 5722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04125-9_23
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DOI: https://doi.org/10.1007/978-3-642-04125-9_23
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