Learning to communicate proactively in human-agent teaming

Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual factors. Proactive communication was...

Integrating CP-Nets in Reactive BDI Agents

Computational agents based upon the belief-desire-intention (BDI) architecture generally use reactive rules to trigger the execution of plans. For various reasons, certain plans might be preferred over others at design time. Most BDI agents platforms use hard-coding these preferences in some form of the static ordering of the reactive rules, but...

Modeling agents with a theory of mind: Theory-theory versus simulation theory

Virtual training systems with intelligent agents provide an effective means to train people for complex, dynamic tasks like crisis management or firefighting. For successful training, intelligent virtual agents should be able to show believable behavior, adapt their behavior to the trainee’s performance and give useful explanations about their...

Goal-based communication using BDI agents as virtual humans in training: An ontology driven dialogue system

Simulations for training can greatly benefit from BDI agents as virtual humans playing the role of key players. Learning to communicate effectively is a key aspect of training to command a team that is managing a crisis. In this paper, we present a goal-based dialogue system which has been applied to a navy fire-fighting incident simulation,...

Do you get it? User-evaluated explainable BDI agents

In this paper we focus on explaining to humans the behavior of autonomous agents, i.e., explainable agents. Explainable agents are useful for many reasons including scenario-based training (e.g. disaster training), tutor and pedagogical systems, agent development and debugging, gaming, and interactive storytelling. As the aim is to generate for...

Enhancing training by using agents with a theory of mind

Virtual training systems with intelligent agents are often used to prepare people who have to act in incidents or crisis situations. Literature tells that typical human mistakes in incidents and crises involve situations in which people make false assumptions about other people's knowledge or intentions. To develop a virtual training system in...