@misc{Pham_Thao_Phuong_A,
 author={Pham, Thao Phuong and Rabah, Mourad and Estraillier, Pascal},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 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.},
 abstract={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 system`s actors into contextual scenes. This pattern supports not only scenario execution but consistency management as well.},
 abstract={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.},
 title={A situation-based multi-agent architecture for handling misunderstandings in interactions},
 type={artykuł},
 keywords={interactive adaptive systems, misunderstandings in interactions, situation structuring, consistency management},
}