18-799K: Special Topics in Signal Processing: Artificial Cognitive Systems
The goal of this course is to expose students to a comprehensive cross-section of the main elements of artificial cognitive systems. Inspired by artificial intelligence, developmental psychology, and cognitive neuroscience, the aim is to build systems that can act on their own to achieve goals: perceiving their environment, anticipating the need to act and the likely outcome of actions, learning from experience, adapting to changing circumstances, and interacting with humans. The course surveys the cognitivist, emergent, and hybrid paradigms of cognitive science and discusses cognitive architectures derived from them. It then turns to the key issues of autonomy, embodiment, learning & development, memory & prospection, knowledge & representation, and social cognition. Concepts are introduced in an intuitive, natural order, with an emphasis on the relationships among ideas and building to an overview of the field, equipping students with sufficient knowledge and understanding to study specific topics in greater depth. The course is delivered through a balanced mix of teaching, reading, and in-class discussion.
Last Modified: 2020-08-05 1:12PM
This course is currently being offered.
- Fall 2020
- Fall 2019
- Spring 2016
- Spring 2015
- Spring 2014
- Spring 2013
- Spring 2012
- Fall 2010