AIMC Topic: Game Theory

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Human adaptation to adaptive machines converges to game-theoretic equilibria.

Scientific reports Aug 11, 2025
Here we test three learning algorithms for machines playing general-sum games with human subjects. The algorithms enable the machine to select the outcome of the co-adaptive interaction from a constellation of game-theoretic equilibria in action and ...
Machine Learning Algorithms Game Theory Humans
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A combined approach of evolutionary game and system dynamics for user privacy protection in human intelligence interaction.

Scientific reports Apr 21, 2025
The rapid development of generative artificial intelligence (GenAI) has generated significant economic and social value, alongside risks to user privacy. For this purpose, this study investigates privacy protection in human-AI interaction by employin...
Artificial Intelligence Humans Game Theory Privacy
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Event-triggered control for input-constrained nonzero-sum games through particle swarm optimized neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 9, 2025
To accommodate the increasing system scale, improve the system operation success rate and save the computational and communication resources, it is urgent to obtain the Nash equilibrium solution for systems with increasing controllers in an effective...
Nonlinear Dynamics Reinforcement, Psychology Algorithms Computer Simulation Humans Neural Networks, Computer Game Theory
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Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problem.

Nature communications Mar 22, 2025
A canonical social dilemma arises when resources are allocated to people, who can either reciprocate with interest or keep the proceeds. The right resource allocation mechanisms can encourage levels of reciprocation that sustain the commons. Here, in...
Humans Deep Learning Cooperative Behavior Reinforcement, Psychology Neural Networks, Computer Trust Resource Allocation Reinforcement Machine Learning Game Theory
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Simulation of human-vehicle interaction at right-turn unsignalized intersections: A game-theoretic deep maximum entropy inverse reinforcement learning method.

Accident; analysis and prevention Feb 19, 2025
The safety of pedestrians in urban transportation systems has emerged as a significant research topic. As a vulnerable group within this transportation framework, pedestrians encounter heightened safety risks in complex urban road environments. Prote...
Game Theory Entropy Reinforcement, Psychology Walking Pedestrians Safety Markov Chains Accidents, Traffic Deep Learning Humans Environment Design Algorithms Computer Simulation
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Human Collaborative Control of Lower-Limb Prosthesis Based on Game Theory and Fuzzy Approximation.

IEEE transactions on cybernetics Dec 19, 2024
For leg prosthesis user, the soft tissue and skin under the stump of are not accustomed to weight bearing, excessive continuous contact pressure can lead to the risk of degenerative tissue ulceration. This article presents a novel human-robot collabo...
Humans Algorithms Artificial Limbs Prosthesis Design Game Theory Fuzzy Logic Robotics Lower Extremity Man-Machine Systems Amputees
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Balanced hydropower and ecological benefits in reservoir-river-lake system: An integrated framework with machine learning and game theory.

Journal of environmental management Dec 17, 2024
The negative impacts of large hydroelectric reservoirs on downstream ecosystems have attracted worldwide attention. Few attempts have been made to dynamically predict ecological benefits and rationally negotiation in the reservoir-river-lake (RRL) sy...
Lakes Machine Learning Rivers Game Theory Ecosystem
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Machine learning and game theory for cyber governance: Enhancing public opinion and regional sustainable development.

PloS one Dec 5, 2024
Cyberspace is emerging as a critical living environment, significantly influencing sustainable human development. Internet public opinion is a crucial aspect of cyberspace governance, serving as the most important form of expressing popular will. How...
China Internet Humans Sustainable Development Machine Learning Public Opinion Game Theory
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Protocol to calculate and compare exact Shapley values for different kernels in support vector machine models using binary features.

STAR protocols Nov 13, 2024
The Shapley value formalism from cooperative game theory was adapted to explain predictions of machine learning models. Here, we present a protocol to calculate and compare exact Shapley values for support vector machine models with commonly used ker...
Support Vector Machine Humans Software Game Theory Algorithms
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Barrier-critic-disturbance approximate optimal control of nonzero-sum differential games for modular robot manipulators.

Neural networks : the official journal of the International Neural Network Society Nov 6, 2024
In this paper, for addressing the safe control problem of modular robot manipulators (MRMs) system with uncertain disturbances, an approximate optimal control scheme of nonzero-sum (NZS) differential games is proposed based on the control barrier fun...
Feedback Robotics Algorithms Computer Simulation Neural Networks, Computer Torque Game Theory
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