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...

The Supplemental Security Income (SSI) and Social Security Disability Insurance (SSDI) programs provide cash assistance to individuals who have disabilities that limit work. Although people who are homeless have a particularly urgent need for this kind of assistance, they are much less likely to be approved for benefits compared to other applicants. The SSI/SSDI Outreach, Access, and Recovery (...

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...

This paper presents an implementation of bottom-up learning in a cognitive model. The paper relates the learning mechanism, its implementation in a Soar agent, and an experiment where the agent learns to solve an example task. The agent first learns primary schemas (low-level patterns of behavior) and then secondary schemas (patterns of primary schemas). This implementation draws from theories ...

A crucial component of the receptor-evoked Ca(2+) signal is Ca(2+) influx mediated by the store-operated Ca(2+) channels (SOCs). The molecular makeup of one SOC is the endoplasmic reticulum (ER) Ca(2+) sensor STIM1 and the pore-forming Orai1. Ca(2+) release from the ER leads to co-clustering of STIM1 and Orai1 to activate Orai1. The short STIM1 SOAR/CAD domain (STIM1 Orai1-activating region/CRA...

Introduction This paper builds upon a study of how people find faults in a simple device and a corresponding cognitive model (Ritter & Bibby, 2008). This existing model, Diag, was implemented in Soar 6 and is based on the idea that learning consists of procedural, declarative, and episodic learning. Diag was developed to analyze human behavior while solving a simple diagrammatic problem (Ritter...

It would extend the world that cognitive models can see if models could interact based on an interface language. We introduce a system designed to allow cognitive models to interact with any display written in Tcl/Tk, a common interface creation language. This approach can be viewed as extending cognitive architectures to include eyes and hands that exist in the world of Tcl/Tk. This system is ...

A programming language which is optimized for modelling multi-agent interaction within articulated social structures such as organizations is described with several examples of its functionality. The language is SDML, a strictly declarative modelling language which has object-oriented features and corresponds to a fragment of strongly grounded autoepistemic logic. The virtues of SDML include th...