In this paper, I describe how a cognitive model was used as a simulated student to help design lessons for training circuit board assemblers. The model was built in the Soar cognitive architecture, and was initially endowed with only an ability to learn instructions and prerequisite knowledge for the task. Five lessons, and a total of 81 instructions for teaching expert assembly were developed ...

The following introduces CaDaDis, an extension to the architecture-independent VISTA toolkit. CaDaDis creates visible accounts of cognitive model behavior through a set of Categorical Data Displays. It includes a standard Pert Chart showing tasks by category (or resource), a Nonstandard Pert Chart that shows the temporal dependencies, and a Gantt chart that helps show occurrences of agent event...

This article addresses the division of memory systems in relation to an overall cognitive architecture. As understanding the architecture is essential to understanding the mind, developing computational cognitive architectures is an important enterprise in computational psychology (computational cognitive modeling). The article proposes a set of hypotheses concerning memory systems from the sta...

In this paper, we present a principled approach to constructing believable game players that relies on a cognitive architecture. The resulting agent is capable of playing the game Urban Combat in a plausible manner when faced with similar situations as its human counterparts. We discuss how architectural features like goal-directed but reactive execution and incremental learning can produce mor...

To better understand the development and cognitive architecture of human reasoning, a divide between deductive and probabilistic reasoning has often been proposed. Neurological studies carried out on clinical and typical populations have overwhelmingly found that the two proposed types of reasoning are underpinned by relatively independent neural substrates. This article seeks to determine thro...

The aim of the paper is presentation of hybrid systems application in the support of decision processes including its practical application in such areas of business activity as marketing, production planning, retail banking. The considerations were directed at dynamically growing research area concerning hybrid cognitive architecture.

Individual differences in skill acquisition are influenced by several architectural factors. According to Ackerman’s theory, general intelligence, speed of proceduralization and psychomotor speed influence different stages of skill acquisition. The ACT-R cognitive architecture allows for direct testing of this theory by manipulating parameters that correspond to these factors. The present study...

Experiments on visual search have demonstrated the existence of a relatively large and reliable memory for which objects have been fixated; an indication of this memory is that revisits (fixations on previously fixated objects) typically comprise only about 5% of fixations. Any cognitive architecture that supports visual search must account for where such memory resides in the system and how it...

A first step is taken towards incorporating emotional processing into Sigma, a cognitive architecture that is grounded in graphical models, with the addition of appraisal variables for expectedness and desirability plus their initial implications for attention at two levels of the control hierarchy. The results leverage many of Sigma’s existing capabilities but with a few key additions.

In order to avoid global parameter settings which are locally suboptimal, this paper argues for the inclusion of more knowledge (in particular procedural knowledge) into automatic speech recognition (ASR) systems. Two related fields provide inspiration for this new perspective: (a) ‘cognitive architectures’ indicate how experience with related problems can give rise to more (expert) knowledge, ...