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Game Theory

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Evolutionary Game Analysis of Farmers' Conservation Tillage Behavior in Black Soil Areas Guided by Deep Learning.

Computational intelligence and neuroscience
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 ...

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

Computational intelligence and neuroscience
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...

Construction of Game Model between Carbon Emission Minimization and Energy and Resource Economy Maximization Based on Deep Neural Network.

Computational intelligence and neuroscience
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...

n-Player Stochastic Duel Game Model with Applied Deep Learning and Its Modern Implications.

Sensors (Basel, Switzerland)
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...

People's dispositional cooperative tendencies towards robots are unaffected by robots' negative emotional displays in prisoner's dilemma games.

Cognition & emotion
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...

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

Scientific reports
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...

Analysis of Security Issues in Wireless Body Area Networks in Heterogeneous Networks.

Sensors (Basel, Switzerland)
Body Area Network (BAN) is one of the most important techniques for observing patient health in real time and identifying and analyzing diseases. For effective implementation of this technology in practice and to benefit from it, there are some key i...

A Design and Application of Municipal Service Platform Based on Cloud-Edge Collaboration for Smart Cities.

Sensors (Basel, Switzerland)
Information and Communication Technology (ICT) makes cities "smart", capable of providing advanced municipal services to citizens more efficiently. In the literature, many applications of municipal service platform based on cloud computing and edge c...

Game theoretical trajectory planning enhances social acceptability of robots by humans.

Scientific reports
Since humans and robots are increasingly sharing portions of their operational spaces, experimental evidence is needed to ascertain the safety and social acceptability of robots in human-populated environments. Although several studies have aimed at ...