For a summary of course contents, see overview.pdf.
Module 0: Overview of cognitive sciences and applications (6h+3h)
Here, we introduce central concepts in the scientific study of cognition, and discuss some of the challenges faced in practical applications.
Module 1: Measuring cognition (15h)
A very important condition for the viability of cognitive science and cognitive applications is the possibility to measure cognitive states and processes. We explore a wide array of methods available to do so, ranging from behavioral observation to neuroimaging, and raise critical methodological issues regarding the reliability and validity of these measures, as well as ethical issues regarding consent and privacy. Examples of application are drawn from various areas (clinical, human factor, etc).
Module 2: Externalizing and influencing cognition (15h)
As humans, we have a tendency to modify our natural ecosystems and populate them with various tools and artefacts. These external manifestations of our cognition, in turn, help us perform new tasks but sometimes also influence our brains in non-optimal ways. In this module, we zoom on three cases of externalisation: artefacts, environments and decision architectures.
Module 3: repairing and augmenting cognition (18h)
One striking characteristic of the brain is that it is a learning device. A well-developed brain gives to humans unprecedented flexibility and adaptability. The aim of this module is to present some of the key results in the study of learning and show how this adaptability can be harnessed to help recovering from neurological damage (sensory deficits, genetic diseases, stroke, etc), or when new skills or knowledge are acquired through education or training. The module will insist on evidence-based approaches of cognitive repair and enhancement.
Module 4: modeling cognition (15h)
Knowing how human cognition works enables both to predict human behavior, and to construct systems that automate (part of) cognitive processes. We review some key issues in the area of cognitive modeling and Artificial Intelligence (robotics, artificial vision and natural language processing), illustrating the strong connections between fundamental and applied research.
Practical sessions (16h)
The practical sessions will be devoted to solve, in small groups of 3-4, one practical problem in one of the areas of cognitive engineering. The students will be encouraged to bring their laptop computer if they have one. A problem will typically run during 3-4 sessions, and time will be devoted for students to make progress reports on their achievements.
The project
The project will take the form of the response to the Nudge Challenge on climate change, organised by NudgeFrance, see http://www.nudgefrance.org/nudgechallenge/. Students are expected to work a half day per week on this project, and make an oral progress report presentation during two interim practical sessions.