What should a quantitative model of masking look like and why would we want it?

What should a quantitative model of masking look like and why would we want it?

Quantitative models of backward masking appeared almost as soon as computing technology was available to simulate them; and continued interest in masking has lead to the development of new models. Despite this long history, the impact of the models on the field has been limited because they have fundamental shortcomings. This paper discusses these shortcomings and outlines what future quantitat...

Erythema nodosum :what should we consider about it?

Why We Need a Physically Embodied Turing Test and What It Might Look Like

machine was to be reduced to the problem of creating a thinking machine (Turing 1950). He observed, however, that such a goal was somewhat ill-defined: how was one to conclude whether or not a machine was thinking (like a human)? So Turing replaced the question with an operational notion of what it meant to think through his now famous Turing test. The details are well known to all of us in AI....

Input Model Uncertainty : Why Do We Care and What Should We Do about It ?

An input model is a collection of distributions together with any associated parameters that are used as primitive inputs in a simulation model. Input model uncertainty arises when one is not completely certain what distributions and/or parameters to use. This tutorial attempts to provide a sense of why one should consider input uncertainty and what methods can be used to deal with it.

Contingency management: what it is and why psychiatrists should want to use it.

Contingency management is a highly effective treatment for substance use and related disorders. However, few psychiatrists are familiar with this intervention or its application to a range of patient behaviours. This paper describes contingency management and evidence of its efficacy for reducing drug use. It then details areas in which contingency management interventions can be applied in the...