Decision Making with Assumption-Based Argumentation

Fan, Xiangyu; Toni, Francesca

doi:10.1007/978-3-642-54373-9_9

Cited by 26 publications

(30 citation statements)

References 6 publications

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“…In previous work, the current authors have worked on several practical applications of structured argumentation (Craven et al, 2012;Fan et al, 2013Fan et al, , 2014Zhong et al, 2014) to domains including medicine and law. We conducted an analysis of the argumentation frameworks for these applications, 5 which showed that none of them contained rules which allow the construction of cyclical arguments like a 2 .…”

Section: Motivationmentioning

confidence: 99%

“…ABA has been applied in several settings, e.g., to support medical decision-making (Craven et al, 2012;Fan et al, 2014) and e-procurement (Matt et al, 2008). ABA's applicability relies on the existence of computational mechanisms, based on various kinds of dispute derivation (Dung et al, 2006(Dung et al, , 2007Toni, 2013) that are formally proven to be correct procedures under various semantics.…”

Section: Introductionmentioning

confidence: 99%

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Argument graphs and assumption-based argumentation

Craven

Toni

2016

Artificial Intelligence

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Arguments in structured argumentation are usually defined as trees, and extensions as sets of such treebased arguments with various properties depending on the particular argumentation semantics. However, these arguments and extensions may have redundancies as well as circularities, which are conceptually and computationally undesirable. Focusing on the specific case of Assumption-Based Argumentation (ABA), we propose novel notions of arguments and admissible/grounded extensions, both defined in terms of graphs. We show that this avoids the redundancies and circularities of standard accounts, and set out the relationship to standard tree-based arguments and admissible/grounded extensions (as sets of arguments). We also define new notions of graph-based admissible/grounded dispute derivations for ABA, for determining whether specific sentences hold under the admissible/grounded semantics. We show that these new derivations are superior with respect to standard dispute derivations in that they are complete in general, rather than solely for restricted classes of ABA frameworks. Finally, we present several experiments comparing the implementation of graph-based admissible/grounded dispute derivations with implementations of standard dispute derivations, suggesting that the graph-based approach is computationally advantageous.

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Section: Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Argument graphs and assumption-based argumentation

Craven

Toni

2016

Artificial Intelligence

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“…In literature, we find many proposed works that deal with the topic of decision-making using agents, argumentation models, heuristics, etc. [27,24,10,18]. However, the type of the decision and how it is oriented in those works is completely different from the decision-making context where organizations make use of UbiGDSS.…”

Section: Introductionmentioning

confidence: 99%

How the ability to analyse tendencies influences decision satisfaction

Carneiro¹,

Martinho²,

Conceição³

et al. 2017

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Abstract. Using agents to represent decision-makers is a complex task. It is important that agents can understand the context and be more proactive. Here we propose a model and an algorithm that will allow the agent to analyse tendencies regarding the number of supporters for each alternative along the process. It is intended that agents can be more dynamic and intelligent and can evaluate different contexts throughout the decision-making process. We believe agents will achieve better and consensual decisions more easily. We tested our model in three simulation environments with different complexity levels. Our model proved that agents that use it will obtain higher average consensus and satisfaction levels. Besides that, agents using this model will obtain those higher consensus and satisfaction levels in most of the times compared to agents that do not use it.

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“…Framework (AAF) (Bondarenko et al, 1993) Toni, 2007, 2008;Fan et al, 2014Fan et al, , 2013 Argumentation-based Negotiation (ABN) (Rahwan et al, 2003) ( Ye et al, 2010;Hsairi et al, 2006;Zhang et al, 2012;ElSisi and Mousa, 2012;Harvey et al, 2007;Brandao Neto et al, 2013;Xue-jie et al, 2013;Sierra et al, 1998;Morge and Beaune, 2004;Alonso, 2004) Three-Layer Argumentation Framework (TLAF) (Maio and Silva, 2012) (Maio et al, 2011;Maio and Silva, 2014) Logic Programming without Negation as Failure (LPwNF) (Kakas et al, 1994) ( Moraitis and Spanoudakis, 2007;Kakas and Moraitis, 2003) …”

Section: Assumption-based Argumentationmentioning

confidence: 99%

“…Collaborative (Hsairi et al, 2006;Moraitis and Spanoudakis, 2007;Yuan et al, 2009;Obeid and Moubaiddin, 2009;Ge et al, 2010;Hsairi et al, 2010;Ye et al, 2010;Maio et al, 2011;Zhang et al, 2012;El-Sisi and Mousa, 2012;Aulinas et al, 2012;Chow et al, 2013;Grando et al, 2012;Harvey et al, 2007;Marreiros et al, 2005;Rowe et al, 2012;Velaga et al, 2012;Letia and Groza, 2012;Amgoud and Serrurier, 2008;Monteserin and Amandi, 2011;Das, 2005;Bulling et al, 2008;Amgoud and Serrurier, 2007;Huang and Lin, 2010;Janjua and Hussain, 2012;Tao et al, 2014;Wang et al, 2014;Kakas and Moraitis, 2003;Fogli et al, 2013;Fan et al, 2014;Bedi and Vashisth, 2014;Ferrando and Onaindia, 2013;Maio and Silva, 2014;Vicari et al, 2003;Tang and Parsons, 2005;Morge and Beaune, 2004) Competitive (Yuan et al, 2011;Keppens, 2011;Heras et al, 2013b,a;Brandao Neto et al, 2013;…”

Section: Behaviour Studiesmentioning

confidence: 99%

Application of Agent Technology for Fault Diagnosis of Telecommunication Networks

Carrera¹

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Decision Making with Assumption-Based Argumentation

Cited by 26 publications

References 6 publications

Argument graphs and assumption-based argumentation

Argument graphs and assumption-based argumentation

How the ability to analyse tendencies influences decision satisfaction

Application of Agent Technology for Fault Diagnosis of Telecommunication Networks

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