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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.

Assessment

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

Course Curriculum

Module: 01
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
Module: 02
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
Assessment
Submit Your Assignment 00:00:00

Course Reviews

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