Abstract
The main goal of a persuasion dialogue is to persuade, but agents may have a number of additional goals concerning the dialogue duration, how much and what information is shared or how aggressive the agent is. Several criteria have been proposed in the literature covering different aspects of what may matter to an agent, but it is not clear how to combine these criteria that are often incommensurable and partial. This paper is inspired by multi-attribute decision theory and considers argument selection as decision-making where multiple criteria matter. A meta-level argumentation system is proposed to argue about what argument an agent should select in a given persuasion dialogue. The criteria and sub-criteria that matter to an agent are structured hierarchically into a value tree and meta-level argument schemes are formalized that use a value tree to justify what argument the agent should select. In this way, incommensurable and partial criteria can be combined.
The research reported here is part of the Interactive Collaborative Information Systems (ICIS) project, supported by the Dutch Ministry of Economic Affairs, grant nr: BSIK03024.
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van der Weide, T.L., Dignum, F., Meyer, J.J.C., Prakken, H., Vreeswijk, G.A.W. (2012). Multi-criteria Argument Selection in Persuasion Dialogues. In: McBurney, P., Parsons, S., Rahwan, I. (eds) Argumentation in Multi-Agent Systems. ArgMAS 2011. Lecture Notes in Computer Science(), vol 7543. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33152-7_9
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