The endoplasmic reticulum (ER) Ca(2+) sensor, STIM1, becomes activated when ER-stored Ca(2+) is depleted and translocates into ER-plasma membrane junctions where it tethers and activates Orai1 Ca(2+) entry channels. The dimeric STIM1 protein contains a small STIM-Orai-activating region (SOAR)--the minimal sequence sufficient to activate Orai1 channels. Since SOAR itself is a dimer, we construct...

The Cognitive Robotic System (CRS) has been developed to use the Soar cognitive architecture for the control of unmanned vehicles and has been tested on two heterogeneous ground robots: a six-legged robot (hexapod) and a wheeled robot. The CRS has been used to demonstrate the applicability of Soar for unmanned vehicles by using a Soar agent to control a robot to navigate to a target location in...

Soar is a theory of human cognition [New89], embodied in a computer system. Soar specifies the cognitive architecture, which is the relatively fixed set of mechanisms that permit goals and knowledge of the task environment to be encoded in memory and brought to bear to produce behavior. Soar is proposed as a unified theory of cognition, and it has been applied to human behavior in a broad spect...

Our long-term goal is to develop autonomous robotic systems that have the cognitive abilities of humans, including communication, coordination, adapting to novel situations, and learning through experience. Our approach rests on the integration of the Soar cognitive architecture with both virtual and physical robotic systems. Soar has been used to develop a wide variety of knowledge-rich agents...

Explanation-based generalization (EBG) is a powerful approach to concept formation in which a justifiable concept definition is acquired from a single training example and an underlying theory of how the example is an instance of the concept. Soar is an attempt to build a general cognitive architecture combining general learning, problem solving, and memory capabilities. It includes an independ...

In this paper, we describe an architectural modification to Soar that gives a Soar agent the opportunity to learn statistical information about the past success of its actions and utilize this information when selecting an operator. This mechanism serves the same purpose as production utilities in ACT-R, but the implementation is more directly tied to the standard definition of the reinforcemen...

BACKGROUND severity assessment in community-acquired pneumonia (CAP) is important as it is associated with significant mortality. In this study, we compared a previously suggested severity assessment rule for CAP- SOAR (systolic blood pressure, oxygenation, age and respiratory rate)- against the CURB-65 criteria. METHODS we conducted a prospective study in three hospitals in Norfolk and Suffo...

We have previously developed the Cognitive Robotic System, or CRS, to use the Soar cognitive architecture for the control of unmanned vehicles. The system was able to demonstrate the applicability of Soar for unmanned vehicles by controlling a ground vehicle to navigate to a target location using GPS in the presence of obstacles, including a cul-de-sac. However, only fairly basic information ab...

This thesis presents NL-Soar, a detailed computational model of human sentence comprehension that accounts for a broad range of psycholinguistic phenomena. NL-Soar provides in-depth accounts of structural ambiguity resolution, garden path effects, unproblematic ambiguities, parsing breakdown on difficult embeddings, acceptable embeddings, immediacy of interpretation, and the time course of comp...