AIMC Topic: Game Theory

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Assessment of the uncertainty and interpretability of deep learning models for mapping soil salinity using DeepQuantreg and game theory.

Scientific reports Sep 7, 2022
This research introduces a new combined modelling approach for mapping soil salinity in the Minab plain in southern Iran. This study assessed the uncertainty (with 95% confidence limits) and interpretability of two deep learning (DL) models (deep bol...
Soil Deep Learning Uncertainty Game Theory Salinity Sand
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Evolutionary Game Analysis of Farmers' Conservation Tillage Behavior in Black Soil Areas Guided by Deep Learning.

Computational intelligence and neuroscience Jun 25, 2022
To better protect the rights and interests of farmers, the evolutionary game theory and deep learning (DL) technology are used to analyze the conservation tillage behavior of farmers in black soil areas. Firstly, the basic hypotheses are put forward ...
Game Theory Farmers Biological Evolution Deep Learning Humans Soil
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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...
Game Theory Computer Security Artificial Intelligence Technology Computer Simulation
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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...
Neural Networks, Computer Game Theory China Carbon
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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...
Game Theory Prisoner Dilemma Robotics Cooperative Behavior Humans Emotions
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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 Game Theory Problem Solving
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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...
Robotics Algorithms Humans Game Theory Computer Simulation
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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 Artificial Intelligence Humans 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...
Social Media Photic Stimulation Machine Learning Humans Game Theory Neural Networks, Computer
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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...
Neural Networks, Computer Deep Learning Humans Game Theory Algorithms
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