Abstract Integrated System Health Management (ISHM) is a promising technology that fuses
sensor data and historical state-of-health information of components and subsystems to …

Metareasoning refers to reasoning about one's own decision making process. This paper
considers metareasoning about the decision making process in multi-agent settings. We …

Computational metacognition is a technical area of artificial intelligence whose aim is to
increase the degree of autonomy and awareness an intelligent system has about its own …

The natural languages that underlie human communication are remarkably expressive,
robust and well-adapted to the communicative needs of their users. However, the question …

Metareasoning suffers from the heterogeneity problem, in which different researchers build
diverse metareasoning models for intelligent systems with comparable functionality but …

We introduce Meta-Reasoning Prompting (MRP), a novel and efficient system prompting
method for large language models (LLMs) inspired by human meta-reasoning. Traditional in …

Anticipatory thinking is a complex cognitive process for assessing and managing risk in
many contexts. Humans use anticipatory thinking to identify potential future issues and …

The information that decision-makers use for command and control has uncertainty.
Previous work has described different types of uncertainties, and the methods for using …

When coordinating their actions to accomplish a mission, the agents in a multi-agent system
may use a collaboration algorithm to determine which agent performs which task. This paper …

Behavior adaptation is an integral aspect for autonomous agents to survive in a world where
change is normal. Animals change their foraging routines and socializing habits based on …