Overview of the Assisted Decision-Making (Capacity) Act (2015)

Modeling Intuitive Decision Making in ACT-R

One mode of human decision-making is considered intuitive, i.e., unconscious situational pattern recognition. Implicit statistical learning, which involves the sampling of invariances from the environment and is known to involve procedural (i.e., non-declarative) memory, has been shown to be a foundation of this mode of decision making. We present an ACT-R model of implicit learning whose imple...

Overview of the TREC 2015 Clinical Decision Support Track

In making clinical decisions, physicians often seek out information about how to best care for their patients. Information relevant to a physician can be related to a variety of clinical tasks such as (i) determining a patient’s most likely diagnosis given a list of symptoms, (ii) determining if a particular test is indicated for a given situation, and (iii) deciding on the most effective treat...

Modelling Dynamic Decision Making with the ACT-R Cognitive Architecture

This paper describes a model of dynamic decision making in the Dynamic Stocks and Flows (DSF) task, developed using the ACT-R cognitive architecture. This task is a simple simulation of a water tank in which the water level must be kept constant whilst the inflow and outflow changes at varying rates. The basic functions of the model are based around three steps. Firstly, the model predicts the ...

Community-Assisted Software Engineering Decision Making

2 Computer - Assisted Clinical Decision Making

In the early 1970s, a small number ol medical computing research groups simultaneously realized that the field ol artificial intelligence oflered potential solutions to problems that had previously constrained the effectiveness and acceptance o.l medical decision-making programs. At Rutgers University, this arose when Kulikowski, a computer scientist who had previously worked with statistical p...