AIMC Topic: Problem Solving

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Neurodynamics-driven portfolio optimization with targeted performance criteria.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2022
This paper addresses portfolio selection with targeted performance criteria via neurodynamic optimization. Five portfolio optimization problems are formulated with a variable weight to maximize five risk-adjusted performance criteria in Markowitz's m...
Computer Simulation Problem Solving Neural Networks, Computer
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A Barrier Varying-Parameter Dynamic Learning Network for Solving Time-Varying Quadratic Programming Problems With Multiple Constraints.

IEEE transactions on cybernetics Aug 18, 2022
Many scientific research and engineering problems can be converted to time-varying quadratic programming (TVQP) problems with constraints. Thus, TVQP problem solving plays an important role in practical applications. Many existing neural networks, su...
Algorithms Computer Simulation Neural Networks, Computer Problem Solving
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Computational Scientific Discovery in Psychology.

Perspectives on psychological science : a journal of the Association for Psychological Science Aug 9, 2022
Scientific discovery is a driving force for progress involving creative problem-solving processes to further our understanding of the world. The process of scientific discovery has historically been intensive and time-consuming; however, advances in ...
Artificial Intelligence COVID-19 Humans Heuristics Problem Solving Algorithms
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Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI.

Neural networks : the official journal of the International Neural Network Society Aug 6, 2022
During the learning process, a child develops a mental representation of the task he or she is learning. A Machine Learning algorithm develops also a latent representation of the task it learns. We investigate the development of the knowledge constru...
Child Knowledge Female Problem Solving Artificial Intelligence Algorithms Machine Learning Humans
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A smoothing gradient-based neural network strategy for solving semidefinite programming problems.

Network (Bristol, England) Aug 4, 2022
Linear semidefinite programming problems have received a lot of attentions because of large variety of applications. This paper deals with a smooth gradient neural network scheme for solving semidefinite programming problems. According to some proper...
Neural Networks, Computer Programming, Linear Problem Solving
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A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level.

Proceedings of the National Academy of Sciences of the United States of America Aug 2, 2022
We demonstrate that a neural network pretrained on text and fine-tuned on code solves mathematics course problems, explains solutions, and generates questions at a human level. We automatically synthesize programs using few-shot learning and OpenAI's...
Problem Solving Mathematics Massachusetts Neural Networks, Computer Universities Humans
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Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data.

PloS one Jul 7, 2022
Global warming has seriously affected the local climate characteristics of cities, resulting in the frequent occurrence of urban waterlogging with severe economic losses and casualties. Aiming to improve the effectiveness of disaster emergency manage...
Humans Decision Making Problem Solving Linguistics Fuzzy Logic Algorithms
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The signature-testing approach to mapping biological and artificial intelligences.

Trends in cognitive sciences Jun 27, 2022
Making inferences from behaviour to cognition is problematic due to a many-to-one mapping problem, in which any one behaviour can be generated by multiple possible cognitive processes. Attempts to cross this inferential gap when comparing human intel...
Intelligence Cognition Problem Solving Artificial Intelligence Animals Humans
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Boosted Sine Cosine Algorithm with Application to Medical Diagnosis.

Computational and mathematical methods in medicine Jun 22, 2022
The sine cosine algorithm (SCA) was proposed for solving optimization tasks, of which the way to obtain the optimal solution is mainly through the continuous iteration of the sine and cosine update formulas. However, SCA also faces low population div...
Humans Problem Solving Benchmarking Algorithms Support Vector Machine Mutation
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A machine learning-based procedure for leveraging clickstream data to investigate early predictability of failure on interactive tasks.

Behavior research methods Jun 1, 2022
Early detection of risk of failure on interactive tasks comes with great potential for better understanding how examinees differ in their initial behavior as well as for adaptively tailoring interactive tasks to examinees' competence levels. Drawing ...
Problem Solving Machine Learning Humans
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