Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose protocol for multi-agent systems where recommender agents may need to provide explanations for their recommendations. The protocol specifies the roles and responsibilities of the explainee and the explainer agent and the types of information that should be exchanged between them to ensure a clear and effective explanation. However, it does not prescribe any particular sort of recommendation or explanation, hence remaining agnostic w.r.t. such notions. Novelty lays in the extended support for both ordinary and contrastive explanations, as well as for the situation where no explanation is needed as none is requested by the explainee. Accordingl...
International audience12th International Conference on Agents and Artificial Intelligence (ICAART 20...
Explanations in intelligent systems aim to enhance a users’ understandability of their reasoning pro...
In this article, we examine the case of a system that cooperates with a “direct” user to plan an act...
Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose ...
Recently, the eXplainable AI (XAI) research community has focused on developing methods making Machi...
Recently, the eXplainable AI (XAI) research community has focused on developing methods making Machi...
In recommender systems, explanations serve as an additional type of information that can help users ...
During the last few years, expert system explanation has become an active research area after recogn...
During the last few years, expert system explanation has become an active research area after recogn...
With more agents deployed than ever, users need to be able to interact and cooperate with them in an...
Abstract. In this paper we focus on explaining to humans the behavior of au-tonomous agents, i.e., e...
With the increase in data volume, velocity and types, intelligent human-agent systems have become po...
Artificial Intelligence systems are spreading to multiple applications and they are used by a more d...
Multi-Agent Systems (MAS) are popular because they provide a paradigm that naturally meets the curre...
It is widely acknowledged that providing explanations is an important capability of intelligent syst...
International audience12th International Conference on Agents and Artificial Intelligence (ICAART 20...
Explanations in intelligent systems aim to enhance a users’ understandability of their reasoning pro...
In this article, we examine the case of a system that cooperates with a “direct” user to plan an act...
Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose ...
Recently, the eXplainable AI (XAI) research community has focused on developing methods making Machi...
Recently, the eXplainable AI (XAI) research community has focused on developing methods making Machi...
In recommender systems, explanations serve as an additional type of information that can help users ...
During the last few years, expert system explanation has become an active research area after recogn...
During the last few years, expert system explanation has become an active research area after recogn...
With more agents deployed than ever, users need to be able to interact and cooperate with them in an...
Abstract. In this paper we focus on explaining to humans the behavior of au-tonomous agents, i.e., e...
With the increase in data volume, velocity and types, intelligent human-agent systems have become po...
Artificial Intelligence systems are spreading to multiple applications and they are used by a more d...
Multi-Agent Systems (MAS) are popular because they provide a paradigm that naturally meets the curre...
It is widely acknowledged that providing explanations is an important capability of intelligent syst...
International audience12th International Conference on Agents and Artificial Intelligence (ICAART 20...
Explanations in intelligent systems aim to enhance a users’ understandability of their reasoning pro...
In this article, we examine the case of a system that cooperates with a “direct” user to plan an act...