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...

هدف: با توجه به رشد روزافزون آموزش شیوه مجازی و ویژه در شرایط گسترش پاندمی کرونایروس، نقش اساسی مدیریت کلاسی ارتقا کیفیت باید مورد قرار گیرد این پژوهش هدف تدوین مدل رابطه علّی هدفمند کلاس وضعیت روان‌شناختی پیامدهای تحصیلی دانشجویان انجام شد. روش: روش بر حسب هدف، کاربردی ماهیت از نوع توصیفی - همبستگی بود. جامعه آماری مشتمل انواع مقاطع دانشگاه­ های دولتی پیام نور شهر تهران نمونه اساس جدول مورگان ب...

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 the hiring process at companies, decision makers have underused the methods of the multi-criteria decision-making processes of selection of personnel. Therefore, this paper aims to establish a framework for the selection of candidates during the process of the recruitment and selection of personnel based on the SWARA and ARAS methods under uncertainties. The usability and efficiency of the p...

ةصلاخلا Allopeas gracilis is recorded for the first time in southern Iraq. It was collected from two localities (Abu-Al Khaseeb region and Hareer region) from Basrah city. ضرلاا عقوقلا نم ةنيع نورشعو نامث ي Allopeas gracilis مت للاخ ةرصبلا ةنيدم ،ريرح ةقطنم و بيصخلا وبا ةقطنم نم اھعمج ناسين رھش 2008 راذاو 2008 يلاوتلا ىلع . ليجستلا اذھ ربتعي دعب ةرصبلا ةنيدم نم ةيضرلاا عقاوقلا نم ثلاثلا Monacha...

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...