This paper deals with a problem of multicriteria selection assuming uncertainties including linguistic modifiers both in given data and in queries referring to these data. An app...
Workflows tend to fail in real-world scenarios due to the uncertain/unreliable sensory information which sometimes needs to be updated during the execution of workflows. In a lo...
Prabhdeep Singh, Fatih Gelgi, Hasan Davulcu, Steph...
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
In both E-Commerce (EC) and Service-Oriented Computing (SOC) environments, sellers or service providers interact with customers or service clients for services or transactions. Fr...
Yan Wang 0002, Duncan S. Wong, Kwei-Jay Lin, Vijay...
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...