Problem solving research has encountered an impasse. Since the seminal work of Newell
und Simon (1972) researchers do not seem to have made much theoretical progress …

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 …

Autonomy involves not only the capacity to achieve the goals one is given but also to
recognize problems and to generate new goals of one's own that are worth achieving. The …

Computational metacognition represents a cognitive systems perspective on high-order
reasoning in integrated artificial systems that seeks to leverage ideas from human …

Dynamic environments are complex and change in often unexpected ways. Given such an
environment, many autonomous agents have difficulty when the world does not cooperate …

Cognition and emotion must be partnered in any complete model of a humanlike mind. This
article proposes an extension to the Common Model of Cognition--a developing consensus …

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 …

Metacognition has been used in artificial intelligence to increase the level of autonomy of
intelligent systems. However the design of systems with metacognitive capabilities is a …

The MIDCA cognitive architecture has at its core a process sequence consisting of three
phases. They are to note an anomaly, to assess what causes the anomaly, and then to guide …

We describe our Meta-cognitive, Integrated, Dual-Cycle Architecture (MIDCA), whose
purpose is to provide agents with a greater capacity for acting in an open world and dealing …