A comparative cognitive model of two manipulations of a complex dual task in which 3D audio cueing was used to improve operator performance is presented. The model is implemented within the EPIC cognitive architecture and describes extensions that were necessary to simulate gaze shifts and the allocation of attention between separated task displays. A simulation of meta-cognitive decision-makin...

This tutorial will introduce attendees to Icarus, a computational theory of the human cognitive architecture. The framework makes claims about the nature of cognition that distinguish it from more established architectures like ACT-R and Soar, and that we believe many conference participants will find intriguing. The presentation will cover the motivations behind Icarus, the theoretical assumpt...

In basic research, cognitive modeling has proven a valuable methodology for developing theoretical assumptions, testing their dynamic interactions, and exploring the scope of theories. Cognitive architectures such as ACT-R (Anderson & Lebiere, 1998) or Soar (Rosenbloom, Laird, & Newell, 1992) provide a common basis for different models and enhance communication and exchange of solutions. In app...

Intelligent software agents aiming for general intelligence are likely to be exceedingly complex systems and, as such, will be difficult to implement and to customize. Frameworks have been applied successfully in large-scale software engineering applications. A framework constitutes the skeleton of the application, capturing its generic functionality. Frameworks are powerful as they promote cod...

Cognitive architectures can account for highly complex tasks. One of the greatest challenges is understanding and modeling human driving behavior. This paper describes an integrated cognitive model of human attention during the performance of car driving. In this task, the attention process can be divided into at least three basic components: the control process, the monitoring process, and fin...

Effective access to knowledge within large declarative memory stores is one challenge in the development and understanding of long-living, generally intelligent agents. We focus on a sub-component of this problem: given a large store of knowledge, how should an agent's task-independent memory mechanism respond to an ambiguous cue, one that pertains to multiple previously encoded memories. A lar...