AIMC Topic: Game Theory

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Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective.

IEEE transactions on neural networks and learning systems Jan 21, 2016
This paper considers cooperative kinematic control of multiple manipulators using distributed recurrent neural networks and provides a tractable way to extend existing results on individual manipulator control using recurrent neural networks to the s...
Cooperative Behavior Game Theory Neural Networks, Computer
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Navigating a social world with robot partners: A quantitative cartography of the Uncanny Valley.

Cognition Sep 21, 2015
Android robots are entering human social life. However, human-robot interactions may be complicated by a hypothetical Uncanny Valley (UV) in which imperfect human-likeness provokes dislike. Previous investigations using unnaturally blended images rep...
Humans Facial Expression Male Social Perception Game Theory Facial Recognition Trust Robotics Female Adult
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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 RNA Models, Molecular Game Theory Knowledge Bases Algorithms
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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. ...
Video Games Game Theory Humans Surveys and Questionnaires Artificial Intelligence Monte Carlo Method
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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 Artificial Intelligence Problem Solving Software Game Theory
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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 Intention Game Theory 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 Nonlinear Dynamics Reinforcement, Psychology Machine Learning Learning Humans
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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 Male Artificial Intelligence 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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