Two distinct learning mechanisms are considered for a population of agents who engage in decentralized search for the common optimum. An agent may choose to learn via innovation (...
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...
The adaptation of software technology to distributed environments is an important challenge today. In this work we combine parallel and distributed search. By this way we add the ...
In this paper, we propose a joint probabilistic topic model for simultaneously modeling the contents of multi-typed objects of a heterogeneous information network. The intuition b...
We propose a novel low-cost video-on-demand architecture for heterogeneous peer-to-peer networks. The key idea of this architecture is to aggregate peers’ storage and bandwidths...