AIMC Topic: Problem Solving

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A Comprehensive Behavioral Dataset for the Abstraction and Reasoning Corpus.

Scientific data Aug 7, 2025
The Abstraction and Reasoning Corpus (ARC) is a visual program synthesis benchmark designed to test out-of-distribution generalization in machines. Comparing AI algorithms to human performance is essential to measure progress on these problems. In th...
Humans Problem Solving Behavior Artificial Intelligence Algorithms
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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study.

JMIR medical informatics Jul 24, 2025
BACKGROUND: Generative artificial intelligence (AI) systems are increasingly deployed in clinical pharmacy; yet, systematic evaluation of their efficacy, limitations, and risks across diverse practice scenarios remains limited.
Pharmacy Service, Hospital Generative Artificial Intelligence Problem Solving Humans Artificial Intelligence
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Mastering diverse control tasks through world models.

Nature Apr 2, 2025
Developing a general algorithm that learns to solve tasks across a wide range of applications has been a fundamental challenge in artificial intelligence. Although current reinforcement-learning algorithms can be readily applied to tasks similar to w...
Humans Problem Solving Reinforcement, Psychology Learning Artificial Intelligence Task Performance and Analysis Algorithms
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Artificial intelligence learns to reason.

Science (New York, N.Y.) Mar 20, 2025
Julia has two sisters and one brother. How many sisters does her brother Martin have? Solving this tiny puzzle requires a bit of thinking. You might mentally picture the family of three girls and one boy and then realize that the boy has three sister...
Problem Solving Female Male Intelligence Humans Artificial Intelligence Thinking Language
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Similar failures of consideration arise in human and machine planning.

Cognition Mar 13, 2025
Humans are remarkably efficient at decision making, even in "open-ended" problems where the set of possible actions is too large for exhaustive evaluation. Our success relies, in part, on processes for calling to mind the right candidate actions. Whe...
Humans Machine Learning Problem Solving Adult Decision Making
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AI-powered standardised patients: evaluating ChatGPT-4o's impact on clinical case management in intern physicians.

BMC medical education Feb 20, 2025
BACKGROUND: Artificial Intelligence is currently being applied in healthcare for diagnosis, decision-making and education. ChatGPT-4o, with its advanced language and problem-solving capabilities, offers an innovative alternative as a virtual standard...
Patient Simulation Case Management Generative Artificial Intelligence Problem Solving Internship and Residency Clinical Reasoning Humans Male Artificial Intelligence Clinical Competence Female Adult
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Synergistic learning with multi-task DeepONet for efficient PDE problem solving.

Neural networks : the official journal of the International Neural Network Society Jan 3, 2025
Multi-task learning (MTL) is an inductive transfer mechanism designed to leverage useful information from multiple tasks to improve generalization performance compared to single-task learning. It has been extensively explored in traditional machine l...
Learning Problem Solving Neural Networks, Computer Humans Machine Learning
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Neural networks for abstraction and reasoning.

Scientific reports Nov 13, 2024
For half a century, artificial intelligence research has attempted to reproduce the human qualities of abstraction and reasoning - creating computer systems that can learn new concepts from a minimal set of examples, in settings where humans find thi...
Humans Neural Networks, Computer Machine Learning Artificial Intelligence Problem Solving Algorithms
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Quo vadis, planning?

The Behavioral and brain sciences Sep 23, 2024
Deep meta-learning is the driving force behind advances in contemporary AI research, and a promising theory of flexible cognition in natural intelligence. We agree with Binz et al. that many supposedly "model-based" behaviours may be better explained...
Artificial Intelligence Learning Humans Problem Solving Cognition Goals
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Multicellular artificial neural network-type architectures demonstrate computational problem solving.

Nature chemical biology Sep 16, 2024
Here, we report a modular multicellular system created by mixing and matching discrete engineered bacterial cells. This system can be designed to solve multiple computational decision problems. The modular system is based on a set of engineered bacte...
Problem Solving Escherichia coli Synthetic Biology Neural Networks, Computer
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