Titlebook: Symbolic and Quantitative Approaches to Reasoning with Uncertainty; 17th European Confer Zied Bouraoui,Srdjan Vesic Conference proceedings

不易燃

A Logical Framework for User-Feedback Dialogues on Hypotheses in Weighted Abductionapplication. This versatility makes it applicable to plant operation, cybersecurity or discourse analysis. However, the hypotheses selected by an abductive reasoner from among possible hypotheses may be inconsistent with the user’s knowledge such as an operator’s or analyst’s expertise. In order to

conscience

exclamation

Revisiting Approximate Reasoning Based on Grounded Semanticss, . methods that provide an answer that may not always be correct, but outperforms the exact algorithms regarding the computation runtime. One such approach proposes to use the grounded semantics, which is polynomially computable, as a starting point for determining whether arguments are (credulous

寒冷

Extension-Based Semantics for Incomplete Argumentation Frameworks: Grounded Semantics and PrinciplesThe usual reasoning approaches rely on the notion of completion, . standard AFs representing “possible worlds” compatible with the uncertain information encoded in the IAF. Recently, extension-based semantics for IAFs that do not rely on the notion of completion have been defined, using instead new

责任

attenuate

Determining Preferences over Extensions: A Cautious Approach to Preference-Based Argumentation Frames promote. In this paper, we reconsider the approach by Amgoud and Vesic, which computes the extensions of a preference-based argumentation framework by aggregating preferences and attacks into a new attack relation in a way that it favors preferred arguments in conflicts, and then simply applying D

FLIT

A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networksnstances) or vertical (variables) partitioning in the literature, none can guarantee the same theoretical properties as the Greedy Equivalence Search (GES) algorithm, except those based on the GES algorithm itself. In this paper, we propose a directed ring-based distributed method that uses GES as t

珍奇

On Identifiability of BN2A Networksbserved variables. All variables are assumed to be binary. The variables in the second layer depend on the variables in the first layer. The dependence is characterised by conditional probability tables representing Noisy-AND or simple Noisy-AND. We will refer to this class of models as BN2A models.

Interim

Normative Monitoring Using Bayesian Networks: Defining a Threshold for Conflict Detection this end, we build on an existing approach that uses Bayesian networks and a tailored conflict measure called IOconfl. In this paper, we argue that the default fixed threshold associated with this measure is not necessarily suitable for the purpose of normative monitoring. We subsequently study the

mettlesome