Artificial Intelligence
An analysis of first-order logics of probability
Artificial Intelligence
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Artificial Intelligence
Argumentative logics: reasoning with classically inconsistent information
Data & Knowledge Engineering
The uncertain reasoner's companion: a mathematical perspective
The uncertain reasoner's companion: a mathematical perspective
Safe and sound: artificial intelligence in hazardous applications
Safe and sound: artificial intelligence in hazardous applications
A logic-based theory of deductive arguments
Artificial Intelligence
A Reasoning Model Based on the Production of Acceptable Arguments
Annals of Mathematics and Artificial Intelligence
Defining Normative Systems for Qualitative Argumentation
FAPR '96 Proceedings of the International Conference on Formal and Applied Practical Reasoning
Acceptability of arguments as `logical uncertainty'
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Argumentation in artificial intelligence
Artificial Intelligence
Computing ideal sceptical argumentation
Artificial Intelligence
Elements of Argumentation
International Journal of Approximate Reasoning
Using arguments for making and explaining decisions
Artificial Intelligence
ASPARTIX: Implementing Argumentation Frameworks Using Answer-Set Programming
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
An Application of Formal Argumentation: Fusing Bayes Nets in MAS
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Success chances in argument games: a probabilistic approach to legal disputes
Proceedings of the 2007 conference on Legal Knowledge and Information Systems: JURIX 2007: The Twentieth Annual Conference
Argumentation in Artificial Intelligence
Argumentation in Artificial Intelligence
Bridging the Gap between Abstract Argumentation Systems and Logic
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
An axiomatic account of formal argumentation
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Real arguments are approximate arguments
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
On the relation between argumentation and non-monotonic coherence based entailment
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Towards (Probabilistic) Argumentation for Jury-based Dispute Resolution
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Algorithms for generating arguments and counterarguments in propositional logic
International Journal of Approximate Reasoning
Instantiating abstract argumentation with classical logic arguments: Postulates and properties
Artificial Intelligence
Introducing equational semantics for argumentation networks
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Generating possible intentions with constrained argumentation systems
International Journal of Approximate Reasoning
On the acceptability of arguments in preference-based argumentation
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Argumentation in bayesian belief networks
ArgMAS'04 Proceedings of the First international conference on Argumentation in Multi-Agent Systems
A Relevance-theoretic Framework for Constructing and Deconstructing Enthymemes
Journal of Logic and Computation
Dominant decisions by argumentation agents
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
Probabilistic argumentation frameworks
TAFA'11 Proceedings of the First international conference on Theory and Applications of Formal Argumentation
Probabilistic satisfiability: logic-based algorithms and phase transition
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Audience-based uncertainty in abstract argument games
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
On the complexity of probabilistic abstract argumentation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Probabilistic qualification of attack in abstract argumentation
International Journal of Approximate Reasoning
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Argumentation can be modelled at an abstract level using a directed graph where each node denotes an argument and each arc denotes an attack by one argument on another. Since arguments are often uncertain, it can be useful to quantify the uncertainty associated with each argument. Recently, there have been proposals to extend abstract argumentation to take this uncertainty into account. This assigns a probability value for each argument that represents the degree to which the argument is believed to hold, and this is then used to generate a probability distribution over the full subgraphs of the argument graph, which in turn can be used to determine the probability that a set of arguments is admissible or an extension. In order to more fully understand uncertainty in argumentation, in this paper, we extend this idea by considering logic-based argumentation with uncertain arguments. This is based on a probability distribution over models of the language, which can then be used to give a probability distribution over arguments that are constructed using classical logic. We show how this formalization of uncertainty of logical arguments relates to uncertainty of abstract arguments, and we consider a number of interesting classes of probability assignments.