Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
The idealdistributed file system wouldprovide all its userswith coherent,shared access tothe samesetoffiles,yetwould be arbitrarily scalable to provide more storage space and hi...
Chandramohan A. Thekkath, Timothy Mann, Edward K. ...
AutoStat™ is an extension package for AutoMod™ and AutoSched™ models that provides complete support for simulation model experimentation and statistical analysis of outputs....
Roughly speaking, adequatness is the property of a theorem proving method to solve simpler problems faster than more difficult ones. Automated inferencing methods are often not ad...