The results of speckle interferometric observations at the 4.1 m Southern Astrophysical Research Telescope in 2020, as well earlier unpublished data, are given, totaling 1735 measurements 1288 resolved pairs and nonresolutions 1177 targets. We for first time 59 new or subsystems known binaries, mostly among nearby dwarf stars. This work continues our long-term program. Its main goal is to monit...

Abstract The speckle interferometry program at the 4.1 m Southern Astrophysical Research Telescope (SOAR), which started in 2008, now has accumulated over 30,300 individual observations of 12,700 distinct targets. Its main goal is to monitor orbital motion close binaries, including members high-order hierarchies and low-mass dwarfs solar neighborhood. results from 2021 are published here, total...

Cognitive architectures—task-general theories of the structure and function of the complete cognitive system—are sometimes argued to be more akin to frameworks or belief systems than scientific theories. The argument stems from the apparent non-falsifiability of existing cognitive architectures. Newell was aware of this criticism and argued that architectures should be viewed not as theories su...

Despite its ubiquity in human learning, very little work has been done in artificiaJ intelligence on agents that learn from interactive natural language instructions. In this paper, we examine the problem of learning procedures from interactive, situated instruction, in which the student is attempting to perform tasks within the instructional domain, and asks for instruction when it is needed. ...

Cognitive architectures aspire for generality both in terms of problem solving and learning across a range of problems, yet to date few examples of domain independent learning has been demonstrated. In contrast, constraint programming often utilizes the same domain independent heuristics to find efficient solutions across a broad range of problems types. This paper provides a progress report on...

The Soar Development Environment (SDE) is an integrated environment for developing rule-based programs in the Soar language. It is designed to provide editing and debugging facilities, commands for creating skeleton source code for common constructs, facilities for locating the deenitions of task components, and other features. It emphasizes context-sensitive operation by maintaining informatio...

This paper proposes combination of a cognitive agent architecture named Soar (State, operator, and result) and ROS (Robot Operating System), which can be a basic framework for a robot agent to interact and cope with its environment more intelligently and appropriately. The proposed Soar-ROS human-robot interaction (HRI) agent understands a set of human’s commands by voice recognition and choose...