How can we use AI to build brains and minds?
Cognitive models define the algorithms underlying behavioral capacities such as learning and decision-making. For instance, reinforcement learning algorithms describe the adaptive process through which agents learn to predict the consequences of their behavior, through interactions with the environment.
Cognitive models are widely used in cognitive science, computer science and artificial intelligence to better understand the cognitive processes that give rise to intelligent behavior. Their components have been linked to specific processes in the brain, bridging from computation to functioning of the nervous system.
The principles of cognitive models have also been used as building blocks for various cognitive architectures, which aim to create a comprehensive computer program that can perform certain tasks (and explain human behavior).
This course will discuss and compare different approaches to cognitive modelling and cognitive architectures. Students will gain hands-on experience in implementing these models, and fitting them to data, through tutorials and assignments.
Students can summarize the key paradigms and models currently employed in the field of reinforcement learning (based on a theoretical overview provided by the lectures);
Students can describe three different cognitive architectures, their respective differences, and strengths and weaknesses;
Students can critically discuss current issues and future perspectives related to the reinforcement learning and cognitive modelling literature;
Students can program computational models, and fit them to experimental data;
When programming a computational model, student can describe the rationale for their choices and the relevance of the resulting program/code.
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Mode of instruction
The course consists of 14 lectures (including Q&A sessions and journal clubs) and 14 tutorials.
The grade is an average of:
lab reports (3 x 10 % = 30%)
final programming assignment and report (70%)
Note that a maximum of 1 lab report can be failed (< 5.5) to pass the course. There will be no resit for lab reports. A resit will be offered for the final assignment, with a maximum grade of 6.
- Models of the mind by Grace Lindsay (available online through the university library: link.
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Onderwijscoördinator Informatica, Education coordinator LIACS bachelors