Artificial intelligence models and methods commonly lack causal
interpre...
The increasing applications of AI systems require personalized explanati...
Training a dialogue policy using deep reinforcement learning requires a ...
The complexity of computer games is ever increasing. In this setup, guid...
Communication is an effective mechanism for coordinating the behavior of...
Norms have been widely proposed as a way of coordinating and controlling...
Player experience (PX) evaluation has become a field of interest in the ...
The goal of entity matching in knowledge graphs is to identify entities ...
Reinforcement learning (RL) agents in human-computer interactions
applic...
Public sentiment (the opinion, attitude or feeling that the public expre...
In this paper we address the interplay among intention, time, and belief...
Multiagent Systems (MAS) research reached a maturity to be confidently
a...
Norms with sanctions have been widely employed as a mechanism for contro...
This paper builds on an existing notion of group responsibility and prop...