This course aims to introduce computer simulation models of complex cognition, models within artificial intelligence, neural mechanisms and networks and computational modeling in cognitive science. This course has a connection of mathematical and computational modeling of the evolution of cognition. Cognition models that exceed the fence of the person to include the environment, artifacts, social connections, and culture will also be discussed here.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: Middle East Technical University
|Topic 1. Overview (contd)-Project Introduction||00:30:00|
|Topic 2. Unified Theories of Cognition, Cognitive Architectures and Frameworks. COGENT as a modelling framework||00:45:00|
|Topic 3. SOAR and ACT-R as cognitive architectures||00:30:00|
|Topic 4. Connectionist and Dynamic Modelling Paradigms||00:40:00|
|Topic 5. Evaluation and Problems in Cognitive Modelling||00:45:00|
|Topic 6. Computational Cognitive Modelling in Studying Inflectional Morphology||00:45:00|
|Topic 7. Computational Cognitive Modelling in Neuropsychology – Lesioning Connectionist Models||01:00:00|
|Topic 8. Computational Models of Analogy Making||00:45:00|
|Topic 9. Computational Models of Consciousness||00:20:00|
|Topic 10. Computational Models of Cognitive Development||00:45:00|
|Submit Your Assignment||00:00:00|
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