This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Industry is looking to create a market in reliable "plug-and-play" components. To model components in a modular style it would be useful to combine event-based and state...
Johnson-Laird and coworkers' Mental Model theory of propositional reasoning is shown to be somewhere in between what logicians have defined as "credulous" and "...
A standard architecture for an NLG system has been defined in (Reiter and Dale, 2000). Their work describes the modularization of an NLG system and the tasks of each module. Howev...
Algorithm performance evaluation is so entrenched in the Machine Learning community that one could call it an addiction. Like most addictions, it is harmful and very difficult to ...