TY - GEN
T1 - Multi-criteria argument selection in persuasion dialogues
AU - Van Der Weide, T.L.
AU - Dignum, F.
AU - Meyer, J.-J.Ch.
AU - Prakken, H.
AU - Vreeswijk, G.A.W.
PY - 2012
Y1 - 2012
N2 - 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. © 2012 Springer-Verlag.
AB - 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. © 2012 Springer-Verlag.
UR - http://www.scopus.com/inward/record.url?scp=84868236786&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-33152-7_9
DO - 10.1007/978-3-642-33152-7_9
M3 - Conference contribution
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 136
EP - 153
BT - Argumentation in Multi-Agent Systems - 8th International Workshop, ArgMAS 2011, Revised Selected Papers
T2 - 8th International Workshop on Argumentation in Multi-Agent Systems, ArgMAS 2011
Y2 - 3 May 2011 through 3 May 2011
ER -