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.
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Certi cate In Computational Models of
Mind
( 9 REVIEWS ) 477 STUDENTS
This course aims to introduce computer simulation models of complex cognition, models within
arti cial intelligence, neural mechanisms and networks and …
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FREE
1 YEAR
LEVEL 2 - CERTIFICATE
COURSE BADGE
COURSE CERTIFICATE
11NUMBER OF UNITS
0NUMBER OF QUIZZES
6 HOURS, 45 MINUTES
HOME CURRICULUM REVIEWS
This course aims to introduce computer simulation models of complex cognition, models within
arti cial 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.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the
assignment of the course as part of the assessment. Upon successful completion of a course, you can
choose to make your achievement formal by obtaining your Certi cate at a cost of £49.
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Course Credit: Middle East Technical University
Module: 01
Topic 1. Overview (contd)-Project Introduction 00:30:00
Topic 2. Uni ed 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 In ectional
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 CURRICULUM
COURSE REVIEWS
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