Cognitive Architecture

In this course, David Vernon presents the 10th module of the "Design & Implementation of Cognition-enabled Robot Agents" series. The learning goals of this module enables you to:

Part 3: In his third and final lecture, David Vernon discusses recent developments in cognition research. He addresses the common model of cognition that emcompasses approaches in Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics. It is mainly based on the book "Unified theories of cognition" by Allen Newell, a leading investigator in computer science and cognitive psychology. Newell states that cognition takes place over multiple timescales (from millisecond-level to year-level and everything in between).

Part 1: In his first of three talks, David Vernon gives a concise and coherent overview of cognitive architecture. He begins by explaining the concept of cognition as an umbrella term that encompasses perception, learning, anticipation, action, and adaptation. Cognition allows robots to work independently in challenging environments, to adapt to changes, and to anticipate events in preparing their actions. If cognition was the top of a mountain and the goal to be achieved, architecture would be the base camp that needs to be set up first.