Matthew Paisner

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We have initiated a long-term robotics project based on our previous work on metacognition as a powerful tool that can synergistically play machine learning and commonsense reasoning off one another. The new project involves a mobile robot that lives in a room and learns about the room and about itself. The robot is initially set up to have a standard set(More)
Metacognition is a powerful tool that can play machine learning and commonsense reasoning off one another synergistically. Based on our previous work in metacognition, we present the vision of a long-term project called “Robot in a Room” in this paper. Similar to newborn babies trying to learn about themselves, surroundings and things that(More)
Metacognitive architectures provide one solution to the brittleness problem for agents operating in complex, changing environments. The Metacognitive Loop, in which a system notes an anomaly, assesses the problem and guides a solution, is one form of such an architecture. This paper extends prior work on implementing the note phase of this process in(More)
—The paper discusses the benefits of metacognitive guidance for a natural language dialog agent. These capabilities may be included directly in the agent or through a general purpose external module. We report on the specific case of handling pause time in dialog, using a metacognitive loop within the agent, and discuss future experiments implementing(More)
Metareasoning is an important capability for autonomous systems, particularly for those being deployed on long duration missions. An agent with increased self-observation and the ability to control itself in response to changing environments will be more capable in achieving its goals. This is essential for long-duration missions where system designers will(More)
We describe ongoing work toward automating human-level behavior that pulls together much of traditional artificial intelligence in a real-time robotic setting. Natural-language dialog, planning, perception, locomotion, commonsense reasoning, memory, and learning all have key roles in this; and metareasoning is a sort of glue to guide the robot through rough(More)
Complex, dynamic environments present special challenges to autonomous agents. Specifically, agents have difficulty when the world does not cooperate with design assumptions. We present an approach to autonomy that seeks to maximize robustness rather than optimality on a specific task. Goal-driven autonomy involves recognizing possibly new problems,(More)
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