Description
Date depot: 13 avril 2020
Titre: Exploring Control Argumentation Frameworks (CAFs)
Directeur de thèse:
Pavlos MORAITIS (LIPADE)
Encadrant :
Jean-Guy MAILLY (LIPADE)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
Argumentation systems allow reasoning under conflicting information. There are numerous fields of application (e.g. automated decision making, legal reasoning, automated negotiation).
We have recently proposed control argumentation systems (CAF), a model which enhances 'classical' argumentation systems with two concepts:
- the representation of uncertain information (which may correspond to the partial knowledge that an agent has about his environment or about other agents)
- the integration of control arguments, which correspond to the agent's possible actions (for example interactions with its environment, or exchanges of arguments in a debate).
The goal of an agent who reasons with a CAF is to select a set of control arguments which make it possible to ensure that, whatever the real state of the environment modeled in the uncertain part, a set of target arguments is acceptable.
We have already shown that the use of CAFs for representing the opponent in automated negotiations improves the agreement rate of negotiations. We want to continue exploring CAFs and using them to solve concrete problems
Doctorant.e: Bacquey Yohann