Judging Mental Health Disorders Using Decision Tree Models

Mental Disorders, Computational Models Of

Psychiatric and neurological disorders are frequently accompanied by specific disturbances of perception, cognition, affect or motor control. In addition, these disorders have been associated with abnormalities of neuromodulation or neural connectivity, or loss of neurons. Computational models have been applied to simulate and predict human cognitive performance. More recently, computational mo...

Shared Mental Models & Decision-Making

The Problem: Decision-making among members of a group entails aggregating the opinions of the constituents. If the opinions are unconstrained, then concensus typically fails when any vote is taken. In contrast, when opinions reflect a shared model of the domain, then concensus is likely, assuming members can communicate accurately the reasons for their individual choices. How, then, will concen...

Judging Statistical Models of Individual Decision Making under Risk Using In- and Out-of-Sample Criteria

Despite the fact that conceptual models of individual decision making under risk are deterministic, attempts to econometrically estimate risk preferences require some assumption about the stochastic nature of choice. Unfortunately, the consequences of making different assumptions are, at present, unclear. In this paper, we compare three popular error specifications (Fechner, contextual utility,...

Mental Health and Neurological Disorders

Mental Health and Neurological Disorders