A situation-based multi-agent architecture for handling misunderstandings in interactions

Abstract

During interactions, system actors may face up misunderstandings when their local states contain inconsistent data about the same fact. Misunderstandings in interactions are likely to reduce interactivity performances (deviation or deadlock) or even affect overall system behavior. In this paper, we characterize misunderstandings in interactions between system actors (that may be human users or system agents) in interactive adaptive systems. To deal with such misunderstandings and ensure state consistency, we present an agent-based architecture and a scenario structuring approach. The system includes several agents devoted to scenario unfolding, plot adaptation and consistency management. Scenario structuring is based on the notion of a situation that is an elementary building block dividing the interactions between systems' actors into contextual scenes. This pattern supports not only scenario execution but consistency management as well. In order to organize and control interactions, the situation contextualizes interactions and activity of the system's actors. It also includes prevention and tolerance agent-based mechanisms to deal with the misunderstandings and their causes. We validate our consistency management mechanisms using Uppaal simulation and provide some experimental results to show the effectiveness of our approach on an online distance learning case study.

Approche de présélection multicritère à base de traces pour la prise de décision dans les applications interactives de type jeux

“…Nos travaux s'appuient sur l'hypothèse qu'une application interactive est contextualisée au moyen des situations. Une situation est ici vue comme un composant dans lequel les acteurs, humains ou automatisés, interagissent en utilisant des ressources locales associées à un contexte commun en vue d'atteindre un ou plusieurs objectifs identifiés (Pham et al, 2015). Ainsi, l'utilisateur d'une application interactive exécute et participe à des situations successives jusqu'à atteindre un objectif prédéfini par le concepteur et l'exécution de l'application repose sur l'enchaînement des différentes situations.…”

Application of Trace-Based Subjective Logic to User Preferences Modeling

“…Our work considers the adaptation in Interactive Adaptive System (IAS). We confine the interactions using contextualized blocs called situations [13]. A situation in an interactive application is a component where actors interact using resources in a specific context to achieve the defined objectives.…”