Zobrazeno 1 - 10
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pro vyhledávání: '"Cyras, Kristijonas"'
This chapter provides an overview of research works that present approaches with some degree of cross-fertilisation between Computational Argumentation and Machine Learning. Our review of the literature identified two broad themes representing the pu
Externí odkaz:
http://arxiv.org/abs/2410.23724
The realization of data-driven AI-native architecture envisioned for 6G and beyond networks can eventually lead to multiple machine learning (ML) workloads distributed at the network edges driving downstream tasks like secondary carrier prediction, p
Externí odkaz:
http://arxiv.org/abs/2404.15197
We present a principle-based analysis of contribution functions for quantitative bipolar argumentation graphs that quantify the contribution of one argument to another. The introduced principles formalise the intuitions underlying different contribut
Externí odkaz:
http://arxiv.org/abs/2401.08879
Explainable AI (XAI) has been investigated for decades and, together with AI itself, has witnessed unprecedented growth in recent years. Among various approaches to XAI, argumentative models have been advocated in both the AI and social science liter
Externí odkaz:
http://arxiv.org/abs/2105.11266
Change in quantitative bipolar argumentation: Sufficient, necessary, and counterfactual explanations
Publikováno v:
In International Journal of Approximate Reasoning January 2024 164
Autor:
Cyras, Kristijonas, Badrinath, Ramamurthy, Mohalik, Swarup Kumar, Mujumdar, Anusha, Nikou, Alexandros, Previti, Alessandro, Sundararajan, Vaishnavi, Feljan, Aneta Vulgarakis
As a field of AI, Machine Reasoning (MR) uses largely symbolic means to formalize and emulate abstract reasoning. Studies in early MR have notably started inquiries into Explainable AI (XAI) -- arguably one of the biggest concerns today for the AI co
Externí odkaz:
http://arxiv.org/abs/2009.00418
Bipolar Argumentation Frameworks (BAFs) admit several interpretations of the support relation and diverging definitions of semantics. Recently, several classes of BAFs have been captured as instances of bipolar Assumption-Based Argumentation, a class
Externí odkaz:
http://arxiv.org/abs/1903.01964
Autor:
Čyras, Kristijonas, Oliveira, Tiago
Automatically reasoning with conflicting generic clinical guidelines is a burning issue in patient-centric medical reasoning where patient-specific conditions and goals need to be taken into account. It is even more challenging in the presence of pre
Externí odkaz:
http://arxiv.org/abs/1902.07526
Autor:
Cyras, Kristijonas
This thesis focuses on using (computational) argumentation theory to model common-sense reasoning with preferences. Common-sense reasoning entails dealing with incomplete, uncertain and conflicting information. Argumentation as a branch of Artificial
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.739638
Mathematical optimization offers highly-effective tools for finding solutions for problems with well-defined goals, notably scheduling. However, optimization solvers are often unexplainable black boxes whose solutions are inaccessible to users and wh
Externí odkaz:
http://arxiv.org/abs/1811.05437