The structure of K allows a fair amount of diversity in the way it can be implemented. However, it is o en not trivial to select the optimal options in given circumstances, and sometimes one may even not be aware of all of K ’s implementation techniques. We here briefly present different techniques, referring to external documents for the details. K defines a family of sponge functions with sev...

The authors investigated differences in the processes underlying two types of metacomprehension judgments: judgments of difficulty and predictions of performance (JOD vs. POP). An experiment was conducted to assess whether these two types of judgments aligned with different types of processing cues, and whether their accuracy correlated with different factors such as sensitivity to processing e...

OBJECTIVE To investigate the effect of a short course of inhaled corticosteroid in the treatment of isolated and persistent nocturnal cough in children. DESIGN Randomised double blind placebo controlled study. SETTING Subjects' homes in east London, England. SUBJECTS Consecutively referred children, 1-10 years old, with persistent nocturnal cough. INTERVENTIONS Placebo or fluticasone pr...

Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This reinforcement learning algorithm has previously been extended to support the automatic construction of new abstract states to improve its context sensitivity and integrated with a graphical behavior modeling architect...

We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditional reinforcement learning techniques. Our learning rates are action-dependent and increase or decrease based on trends in reward sequences. Our exploration rate decreases when the agent is learning successfully and in...