Although overlooked in recent years as tools for research, cognitive software architectures are designed to bring computational models of reasoning to bear on real-world physical systems. This paper makes a case for using the executives in these architectures as research tools to explore the connection between cognitive science and intelligent robotics.
As one of the few genuine departments of cognitive science in the world, we offer unique and exciting opportunities for students to focus on the scientific study of mind, brain, and intelligence. Staffed by a core of cognitive-science oriented psychologists, philosophers, and computer scientists, the department complements Rensselaer's traditional strengths in science, engineering, and technology, and is widely regarded as a leader in the area of computational cognitive modeling. We offer a highly selective PhD program in Cognitive Science, and BS programs in both Psychology and Philosophy. Faculty research interests include computational cognitive modeling, artificial intelligence, human and machine reasoning, computational linguistics, perception and action, theoretical neuroscience, cognitive robotics, cognitive engineering and advanced synthetic characters.
COGSCI2013, the 35th annual meeting of the Cognitive Science Society and the first to take place in Germany, was held from the 31st of July to the 3rd of August. Cognitive scientists with varied backgrounds gathered in Berlin to report and discuss on expanding lines of research, spanning multiple fields but striving in one direction: to understand cognition with all its properties and peculiarities. A rich program featuring keynotes, symposia, workshops and tutorials, along regular oral and poster sessions, offered the attendees a vivid and exciting overview of where the discipline is going while serving as a fertile forum of interdisciplinary discussion and exchange. This report attempts to point out why this should matter to artificial intelligence as a whole.
In this position paper, the benefits and a possible roadmap for evaluation of cognitive architectures via a perspective of software evaluation is outlined. Development of such architectures is a distinctive software development activity; and their evaluations may benefit from detailed surveys into their usage from a software evaluation point of view.