AIMC Topic: Game Theory

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GARN: Sampling RNA 3D Structure Space with Game Theory and Knowledge-Based Scoring Strategies.

PloS one Aug 27, 2015
Cellular processes involve large numbers of RNA molecules. The functions of these RNA molecules and their binding to molecular machines are highly dependent on their 3D structures. One of the key challenges in RNA structure prediction and modeling is...
RNA Folding Models, Molecular Algorithms Knowledge Bases RNA Game Theory
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Recent Advances in General Game Playing.

TheScientificWorldJournal Aug 24, 2015
The goal of General Game Playing (GGP) has been to develop computer programs that can perform well across various game types. It is natural for human game players to transfer knowledge from games they already know how to play to other similar games. ...
Surveys and Questionnaires Video Games Humans Monte Carlo Method Game Theory Artificial Intelligence
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Overtaking method based on sand-sifter mechanism: Why do optimistic value functions find optimal solutions in multi-armed bandit problems?

Bio Systems Jul 10, 2015
A multi-armed bandit problem is a search problem on which a learning agent must select the optimal arm among multiple slot machines generating random rewards. UCB algorithm is one of the most popular methods to solve multi-armed bandit problems. It a...
Models, Psychological Uncertainty Optimism Game Theory Algorithms Decision Making Humans Machine Learning
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A Hybrid alldifferent-Tabu Search Algorithm for Solving Sudoku Puzzles.

Computational intelligence and neuroscience May 20, 2015
The Sudoku problem is a well-known logic-based puzzle of combinatorial number-placement. It consists in filling a n(2) × n(2) grid, composed of n columns, n rows, and n subgrids, each one containing distinct integers from 1 to n(2). Such a puzzle bel...
Humans Algorithms Problem Solving Artificial Intelligence Game Theory Software
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A game theoretical model to examine pedestrian behaviour and safety on unsignalised slip lanes using AI-based video analytics.

Accident; analysis and prevention Jul 1, 2025
Left-turn slip lanes, also known as channelised right-turn lanes in right-hand driving countries, are widely implemented to facilitate left-turning at signalised intersections. However, pedestrian safety on slip lanes is not well known. At unsignalis...
Artificial Intelligence Female Humans Decision Making Walking Pedestrians Male Environment Design Video Recording Game Theory Intention Automobile Driving Accidents, Traffic Safety
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Heterogeneity, reinforcement learning, and chaos in population games.

Proceedings of the National Academy of Sciences of the United States of America Jun 24, 2025
Inspired by the challenges at the intersection of Evolutionary Game Theory and Machine Learning, we investigate a class of discrete-time multiagent reinforcement learning (MARL) dynamics in population/nonatomic congestion games, where agents have div...
Game Theory Machine Learning Learning Nonlinear Dynamics Humans Reinforcement, Psychology
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Humans program artificial delegates to accurately solve collective-risk dilemmas but lack precision.

Proceedings of the National Academy of Sciences of the United States of America Jun 24, 2025
In an era increasingly influenced by autonomous machines, it is only a matter of time before strategic individual decisions that impact collective goods will also be made virtually through the use of artificial delegates. Through a series of behavior...
Humans Artificial Intelligence Male Decision Making Game Theory Algorithms Female
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Evolutionary multi-agent reinforcement learning in group social dilemmas.

Chaos (Woodbury, N.Y.) Feb 1, 2025
Reinforcement learning (RL) is a powerful machine learning technique that has been successfully applied to a wide variety of problems. However, it can be unpredictable and produce suboptimal results in complicated learning environments. This is espec...
Game Theory Machine Learning Algorithms Reinforcement, Psychology Biological Evolution Cooperative Behavior Humans Artificial Intelligence
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An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology.

Briefings in bioinformatics Sep 23, 2024
The application of deep learning to spatial transcriptomics (ST) can reveal relationships between gene expression and tissue architecture. Prior work has demonstrated that inferring gene expression from tissue histomorphology can discern these spatia...
Game Theory Tissues Humans Deep Learning Biostatistics Gene Expression Profiling
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Navigating the Adoption Maze: Evolutionary Dynamics of Stakeholder Behavior in AI-Driven Elderly Care Solutions.

Inquiry : a journal of medical care organization, provision and financing Jan 1, 2024
In the face of a rapidly aging population and the increasing demand for elderly care, the adoption of artificial intelligence (AI) in healthcare products has emerged as a promising solution to enhance service delivery. This paper investigates the beh...
Humans Health Services for the Aged Stakeholder Participation Artificial Intelligence Game Theory Aged
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