Tutorials provide conference participants the opportunity to gain new insights, knowledge, and skills in an area related to the interests of the BRIMS community. Tutorials are presented in a lecture-and-discussion or learning-by-doing format. Tutorials may be a half-day (3 hours, plus breaks) or a full-day (6 hours, plus breaks) in duration.

Tutorials will be held on March 12.  Registration and fee for tutorials is separate from the general conference registration. Space is limited in tutorial sessions so please register early. On-site registrations can not be guaranteed admittance. Please read the descriptions below and register here

March 12 9:00AM-5:00PM

 Description:Based on a segment of an annual course offered at Carnegie Mellon, we will discuss virtual experimentation and model consumption. We will introduce Construct, a network-centric simulation tool that may be of interest to modelers focused on larger group behavior. Construct incorporates key insights from sociological literature. We will teach attendants how to critically consume model results and how to design experiments involving models. Attendees will be taught how to use Construct and will execute simple virtual experiments for Construct.

March 12 9:00AM-5:00PM

Description: This tutorial provides an introduction to applied cognitive systems in general and the Soar
cognitive architecture in particular. The discussion of applied cognitive systems will present the advantages of cognitive architectures over other software paradigms, as well as an introduction to how knowledge-based systems can be designed and engineered within a cognitive architecture. The remainder of the tutorial will focus specifically on the Soar cognitive architecture, including an overview and history of Soar, as well as hands-on exercises to learn how Soar implements knowledge-based decision making, structured and reactive goal management, and various forms of learning.

Half-Day Tutorial -March 12 2:00PM-5:00PM

Description: There can often be a gap between theory and its implications for practice when gathering data on human behavior. This gap can be particularly significant outside psychology departments. While most students at the undergraduate or early graduate levels in psychology are taught how to design experiments and analyze data in courses in psychology and statistics, there is, unfortunately, a dearth of materials providing practical guidance for running experiments. In this tutorial we provide a summary of a practical guide for running experiments with human participants (Ritter, Kim, Morgan, & Carlson, in preparation).