Yuehai Wang

Learn More
Multi-agent foraging is a popular benchmark to verify the effectiveness of different cooperation algorithm. Markov game based approaches were wildly used although they could not select consistent equilibrium for the group. Using evolutionarily stable strategy as optimal solution, we build a modified hawk-dove game model to simulate the interaction between(More)
Algorithms based on game theory regard the equilibriums as the optimal solution for the cooperation in multi-agent system (MAS), especially the evolutionary stable equilibriums (ESE) had been studied because they can give a consistent optimal solution for the MAS and partly solve the equilibrium selection problem of game theory. However ESE is dynamic(More)
A hawk-dove game model for multi-agent foraging was built from the viewpoint of evolutionary game theory. Based on this model, an evolutionary coordinative foraging algorithm that combined introspection, imitation, and accelerating factor in the replicator dynamics was proposed to find the sole evolutionary stable strategy of the hawk-dove game(More)
The malignancy risk differentiation of pulmonary nodule is one of the most challenge tasks of computer-aided diagnosis (CADx). Most recently reported CADx methods or schemes based on texture and shape estimation have shown relatively satisfactory on differentiating the risk level of malignancy among the nodules detected in lung cancer screening. However,(More)
The optimal solution for the cooperation win-win task for Multi-agent system (MAS) was studied and a automatic negotiation reciprocal mechanism was build in this paper for the typical case of multi- agent foraging. The equivalences between agent in MAS and player in game theory, optimal solution in MAS and equilibrium in game theory, and cooperation task in(More)
To the characters of the image captured by omni directional vision system and the specific characters of the match field of RoboCup medium size group, a rapid geometry localization method was introduced to calculate the coordination of the robot itself and the target in the view-field using a simple geometry method. The localization includes robot self(More)
  • 1