AIMC Topic: Game Theory

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Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies.

Computational intelligence and neuroscience Jun 13, 2022
One of the main problems of modern research concerns the optimal design of solutions to address cybersecurity problems, with methods that provide the ability to choose an objective function different from that of the classic problem of more economica...
Technology Computer Simulation Artificial Intelligence Computer Security Game Theory
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Construction of Game Model between Carbon Emission Minimization and Energy and Resource Economy Maximization Based on Deep Neural Network.

Computational intelligence and neuroscience May 2, 2022
Under this background, this paper tries to find countermeasures and ways for carbon reduction by observing and analyzing the influencing factors of carbon emissions, designing ways to minimize carbon emissions and maximize resources and energy. In vi...
Carbon Game Theory Neural Networks, Computer China
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People's dispositional cooperative tendencies towards robots are unaffected by robots' negative emotional displays in prisoner's dilemma games.

Cognition & emotion Apr 7, 2022
The study explores the impact of robots' emotional displays on people's tendency to cooperate with a robot opponent in prisoner's dilemma games. Participants played iterated prisoner's dilemma games with a non-expressive robot (as a measure of cooper...
Humans Emotions Game Theory Prisoner Dilemma Robotics Cooperative Behavior
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n-Player Stochastic Duel Game Model with Applied Deep Learning and Its Modern Implications.

Sensors (Basel, Switzerland) Mar 21, 2022
This paper provides a conceptual foundation for stochastic duels and contains a further study of the game models based on the theory of stochastic duels. Some other combat assessment techniques are looked upon briefly; a modern outlook on the applica...
Deep Learning Video Games Problem Solving Game Theory
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A Framework for Human-Robot-Human Physical Interaction Based on N-Player Game Theory.

Sensors (Basel, Switzerland) Sep 3, 2020
In order to analyze the complex interactive behaviors between the robot and two humans, this paper presents an adaptive optimal control framework for human-robot-human physical interaction. N-player linear quadratic differential game theory is used t...
Computer Simulation Robotics Humans Algorithms Game Theory
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Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game.

Scientific reports Aug 17, 2020
Predicting and modeling human behavior and finding trends within human decision-making processes is a major problem of social science. Rock Paper Scissors (RPS) is the fundamental strategic question in many game theory problems and real-world competi...
Markov Chains Memory Competitive Behavior Game Theory Male Decision Making Female Humans Artificial Intelligence Algorithms
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Cross-modal dual subspace learning with adversarial network.

Neural networks : the official journal of the International Neural Network Society Mar 19, 2020
Cross-modal retrieval has recently attracted much interest along with the rapid development of multimodal data, and effectively utilizing the complementary relationship of different modal data and eliminating the heterogeneous gap as much as possible...
Humans Game Theory Social Media Neural Networks, Computer Photic Stimulation Machine Learning
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SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction.

Neural networks : the official journal of the International Neural Network Society Mar 14, 2020
Complex network is a general model to represent the interactions within technological, social, information, and biological interaction. Often, the direct detection of the interaction relationship is costly. Thus, network structure reconstruction, the...
Algorithms Humans Deep Learning Game Theory Neural Networks, Computer
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Social behavior for autonomous vehicles.

Proceedings of the National Academy of Sciences of the United States of America Nov 22, 2019
Deployment of autonomous vehicles on public roads promises increased efficiency and safety. It requires understanding the intent of human drivers and adapting to their driving styles. Autonomous vehicles must also behave in safe and predictable ways ...
Machine Learning Game Theory Algorithms Psychology, Social Decision Making Humans Automobile Driving Automation Social Behavior
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Risk assessment of hybrid rain harvesting system and other small drinking water supply systems by game theory and fuzzy logic modeling.

The Science of the total environment Nov 2, 2019
The complexity and uncertainties affecting drinking water supply systems and threatening hazards require a comprehensive and effective risk assessment to increase the reliability of drinking water safety, especially for small or household systems. Th...
Fuzzy Logic Drinking Water Risk Assessment Water Supply China Reproducibility of Results Game Theory Rain
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