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This paper describes a self-regulated learning system that uses metacognition to decide what to learn, when to learn and how to learn in order to succeed in a dynamic environment. Metacognition provides the system the ability to monitor anomalies and to dynamically change its behavior to fix or work around them. The dynamic environment for the system is an air traffic control domain that has six approach...
Agents that operate in the real world have to make decisions on how long they can deliberate before they act. If the agent deliberates for too long, the agent may miss a deadline or the environment may change such that the preconditions for acting may no longer hold true. If the agent acts too quickly without proper deliberation, it may miss opportunities or may even perform the wrong action. Artificial...
Evidence suggests that metacognition - the ability to monitor the cognitive processes and regulate them - exists not only in humans but also in some animals. In nature, humans and animals use metacognition to self-regulate their learning process. This paper gathers evidence of metacognition in nature from research in various disciplines. It also shows how metacognition can be modeled in artificial...
There has been an increasing interest in the use of Virtual Reality for learning and training. The development of Virtual Reality environment makes it possible for a user to understand and observe multiple paths and emotions that an agent would observe during evacuation. This paper presents a fuzzy logic application for modeling an evacuation scenario where fuzzy parameters such as stress, panic,...
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