AIMC Topic: Problem Solving

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Dual-process system based on mixed semantic fusion for Chinese medical knowledge-based question answering.

Mathematical biosciences and engineering : MBE Jan 5, 2023
Chinese medical knowledge-based question answering (cMed-KBQA) is a vital component of the intelligence question-answering assignment. Its purpose is to enable the model to comprehend questions and then deduce the proper answer from the knowledge bas...
Semantics Problem Solving Knowledge Bases Information Storage and Retrieval
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An approach to solving optimal control problems of nonlinear systems by introducing detail-reward mechanism in deep reinforcement learning.

Mathematical biosciences and engineering : MBE Jun 23, 2022
In recent years, dynamic programming and reinforcement learning theory have been widely used to solve the nonlinear control system (NCS). Among them, many achievements have been made in the construction of network model and system stability analysis,...
Reward Nonlinear Dynamics Problem Solving Neural Networks, Computer Algorithms
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Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multiobjective Evolutionary Algorithm.

Evolutionary computation Jun 1, 2022
An important challenge in reinforcement learning is to solve multimodal problems, where agents have to act in qualitatively different ways depending on the circumstances. Because multimodal problems are often too difficult to solve directly, it is of...
Problem Solving Biological Evolution Learning Robotics Algorithms
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Understanding the Computational Demands Underlying Visual Reasoning.

Neural computation Apr 15, 2022
Visual understanding requires comprehending complex visual relations between objects within a scene. Here, we seek to characterize the computational demands for abstract visual reasoning. We do this by systematically assessing the ability of modern d...
Humans Neural Networks, Computer Learning Problem Solving
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AI, visual imagery, and a case study on the challenges posed by human intelligence tests.

Proceedings of the National Academy of Sciences of the United States of America Nov 24, 2020
Observations abound about the power of visual imagery in human intelligence, from how Nobel prize-winning physicists make their discoveries to how children understand bedtime stories. These observations raise an important question for cognitive scien...
Visual Perception Imagination Models, Psychological Problem Solving Intelligence Tests Spatial Processing Humans Neural Networks, Computer Machine Learning
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Verbal analogy problem sets: An inventory of testing materials.

Behavior research methods Oct 1, 2020
Analogical reasoning is an active topic of investigation across education, artificial intelligence (AI), cognitive psychology, and related fields. In all fields of inquiry, explicit analogy problems provide useful tools for investigating the mechanis...
Problem Solving Language Speech Artificial Intelligence Humans
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Deconstructing the diagnostic reasoning of human versus artificial intelligence.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne Dec 2, 2019
Thinking Diagnosis Algorithms Problem Solving Humans Diagnostic Errors Artificial Intelligence
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Chess, a of reasoning.

Science (New York, N.Y.) Dec 7, 2018
Animals Deep Learning Problem Solving Drosophila Humans
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An evaluation of scanpath-comparison and machine-learning classification algorithms used to study the dynamics of analogy making.

Behavior research methods Aug 1, 2017
In recent years, eyetracking has begun to be used to study the dynamics of analogy making. Numerous scanpath-comparison algorithms and machine-learning techniques are available that can be applied to the raw eyetracking data. We show how scanpath-com...
Algorithms Saccades Female Child Humans Problem Solving Machine Learning Male Adolescent Young Adult Adult
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An analysis of a digital variant of the Trail Making Test using machine learning techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2017
BACKGROUND: The goal of this work is to develop a digital version of a standard cognitive assessment, the Trail Making Test (TMT), and assess its utility.
Middle Aged Machine Learning Cognition Problem Solving Aged Trail Making Test Humans
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