DAQAP: Defeasible Argumentation Query Answering Platform

Leiva, Mario A.; Simari, Gerardo I.; Gottifredi, Sebastián; García, Alejandro Javier; Simari, Guillermo Ricardo

doi:10.1007/978-3-030-27629-4_14

Cited by 5 publications

(7 citation statements)

References 8 publications

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“…Future work presents different possibilities, such as the development of an implementation of S-BAFsby using the existing DeLP [35,36,52] system as a basis. 2 The resulting implementation will be applied to different domains that require modeling decision support systems associated with context restrictions that model the users' preferences.…”

Section: Discussionmentioning

confidence: 99%

Similarity notions in bipolar abstract argumentation

Budán

Gonzalez

Budán

et al. 2020

AAC

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The notion of similarity has been studied in many areas of Computer Science; in a general sense, this concept is defined to provide a measure of the semantic equivalence between two pieces of knowledge, expressing how "close" their meaning can be regarded. In this work, we study similarity as a tool useful to improve the representation of arguments, the interpretation of the relations between arguments, and the semantic evaluation associated with the arguments in the argumentative process. In this direction, we present a novel mechanism to determine the similarity between two arguments based on descriptors representing particular aspects associated with these arguments. This mechanism involves a comparison process influenced by the context in which the process develops, where this context provides the relevant aspects that need to be analyzed in the application domain. Then, we use this similarity measure as a quantity to compute the result of attacks and supports in the argumentation process. These valuations, applied to a Bipolar Argumentation Frameworks, allowed us to refine the argument relations, providing the tools to establish a family of new argumentation semantics that considers the similarity between arguments as a crucial part for the argumentation process.

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Section: Discussionmentioning

confidence: 99%

Similarity notions in bipolar abstract argumentation

Budán

Gonzalez

Budán

et al. 2020

AAC

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“…Argument mapping provides intuitive and effective support for critical thinking (Reed and Rowe, 2004;van Gelder, 2007), and shows advantages particularly in enriching and understanding of a problem over for example text representations (Carneiro et al, 2021), but does not offer support for reasoning. Argument mapping and formal argumentation can be combined to visualise and analyse arguments or conclusions (Leiva et al, 2019;Reed et al, 2017). In this work, we also combine these approaches to enable analysts to directly interact and benefit from a computational model of argumentation in the construction and evaluation of hypotheses.…”

Section: Related Workmentioning

confidence: 99%

Human-machine collaboration in intelligence analysis: An expert evaluation

Toniolo

Cerutti²,

Norman³

et al. 2023

Intelligent Systems with Applications

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“…There are several formalisms that are based on this idea, such as ABA [21], ASPIC+ [22], defeasible logic programming (DeLP) [23], and deductive argumentation [24], which consider the structure of the arguments that model a discussion. The DAQAP platform [19] on which the presented system is based uses DeLP as its central formalism. We now briefly present the necessary background, starting with DeLP and its probabilistic extension.…”

Section: Preliminariesmentioning

confidence: 99%

“…Design of the P-DAQAP framework, an extension of DAQAP [19], to work with DeLP3E, and the proposal of different classes of queries in the context of applications related to CTA.…”

mentioning

confidence: 99%

Argumentation-Based Query Answering under Uncertainty with Application to Cybersecurity

Leiva

García

Shakarian

et al. 2022

BDCC

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Decision support tools are key components of intelligent sociotechnical systems, and their successful implementation faces a variety of challenges, including the multiplicity of information sources, heterogeneous format, and constant changes. Handling such challenges requires the ability to analyze and process inconsistent and incomplete information with varying degrees of associated uncertainty. Moreover, some domains require the system’s outputs to be explainable and interpretable; an example of this is cyberthreat analysis (CTA) in cybersecurity domains. In this paper, we first present the P-DAQAP system, an extension of a recently developed query-answering platform based on defeasible logic programming (DeLP) that incorporates a probabilistic model and focuses on delivering these capabilities. After discussing the details of its design and implementation, and describing how it can be applied in a CTA use case, we report on the results of an empirical evaluation designed to explore the effectiveness and efficiency of a possible world sampling-based approximate query answering approach that addresses the intractability of exact computations.

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DAQAP: Defeasible Argumentation Query Answering Platform

Cited by 5 publications

References 8 publications

Similarity notions in bipolar abstract argumentation

Similarity notions in bipolar abstract argumentation

Human-machine collaboration in intelligence analysis: An expert evaluation

Argumentation-Based Query Answering under Uncertainty with Application to Cybersecurity

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