Probabilistic Argumentation Systems with Decision Variables

Probabilistic Argumentation Systems with Decision Variables

The general concept of probabilistic argumentation systems PAS is restricted to the two types of variables: assumptions, which model the uncertain part of the knowledge, and propositions, which model the rest of the information. Here, we introduce a third kind into PAS: so-called decision variables. This new kind allows to describe the decisions a user can make to react on some state of the sys...

Probabilistic Argumentation and Decision System

The concept of probabilistic argumentation systems PAS is restricted to two types of variables: assumptions, which model the uncertain part of the knowledge, and propositions, which model the rest of the information. Instantiations of PAS have been used for dealing with problems in different contexts. Here, we introduce a third kind of variables into PAS: so-called decision variables. This new ...

Probabilistic Argumentation Systems ∗

Modeling Information Retrieval with Probabilistic Argumentation Systems

Probabilistic Argumentation Systems (PAS) are a technique for representing uncertainty both symbolically and numerically. It is shown that this technique, which combines symbolic logic and probability, can be used as a general model of information retrieval. PAS provide a dual (symbolic and numerical) interpretation of the logical uncertainty principle, and are a flexible model for integrating ...

Optimization of Probabilistic Argumentation with Markov Decision Models

One prominent way to deal with conflicting viewpoints among agents is to conduct an argumentative debate: by exchanging arguments, agents can seek to persuade each other. In this paper we investigate the problem, for an agent, of optimizing a sequence of moves to be put forward in a debate, against an opponent assumed to behave stochastically, and equipped with an unknown initial belief state. ...