Cognitive Science
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Course Title: Cognitive Science
Course No: CSC385
Nature of the Course: Theory + Lab
Semester: 6
Full Marks: 60 + 20 + 20
Pass Marks: 24 + 8 + 8
Credit Hours: 3
Course Description
Course Objectives
Course Contents
1. Introduction
7 hrs
1.1. Cognitive Science Foundations
- Cognition Process
- Cognitive Psychology
- Cognitive Science
- Foundations of Cognitive Science
- Cognitive Science and Multi-disciplinary
- Machines and Minds
- Laws thoughts to binary logic
- Classical Cognitive Science
- Connectionist Cognitive Science
1.2. Mind Body Problem and Responses
- Mind body Problem
- Turing Response to Mind Body Problem
- Pinker, Penerose and Searle's Responses to Mind Body Problem
1.3. Theories of Mental Representation
- Representational Theory of Mind
- Minimal Analysis of mental representation
- Resemblance theories of mental representation
- Casual covariation theories of mental representation
- Internal roles theories of mental representation
2.1. Behaviorism and Computation Theory
- Behaviorism
- Theory of Computation and Algorithms
- Algorithms and Turing Machines
- Marr's Three Level of Computation
2.2. Linguistics and Information Processing
- Linguistics and Formal Language
- Information Processing Models in Psychology
3.1. Cognitive Models and Memory
- Cognitive Models of Memory
- Atkinson-Shiffrin's Model
- Tulving's Model
3.2. Mental Imagery and Problem Solving
- Mental Imagery
- Kosslyn's View
- Moyer's View
- Peterson's View
- Cognitive Maps
- Problem Understanding
- States of Cognition
- Cognition in AI
4.1. Physical Symbol System
- Physical Symbol System Hypothesis
- Symbol and Symbol Systems
- Problem Solving by Symbol Structure
- Physical Symbol System to Language of Thoughts
4.2. Computer Model and Language of Thought
- The Computer Model of the Mind
- Syntax and the Language of Thought: Fodor's Argument for the Language of Thought Hypothesis
4.3. Arguments and Problems
- The Chinese Room Argument
- Chinese Room and Turing Test
- The Symbol Ground Problem
5. Cognitive System
4 hrs
5.1. Cognitive Architecture
- Cognitive System
- Architecture for intelligent agents
5.2. Modularity and ACT-R
- Modularity of Mind
- Modularity Hypothesis
- The ACT-R/PM architecture
6. Brain Mapping
6 hrs
6.1. Brain Structure and Connectivity
- Structure and Function in Brain
- Anatomical Connectivity
- Cognitive Functioning Techniques from Neuroscience
6.2. Brain Mapping Techniques
- Mapping the brain's electrical activity: EEG and MEG
- Mapping the brain's blood flow and blood oxygen levels: PET and fMRI
6.3. Attention and Visuospatial Processing
- Attention
- Visuospatial attention
7. Mind Reading
5 hrs
7.1. Metarepresentation and Theory of Mind
- Metarepresentation
- Metarepresentation, autism, and theory of mind
- Mind Reading System
7.2. False Belief and Simulation
- Understanding False Belief
- Mind Reading as Simulation
8.1. Neural Network Fundamentals
- Neurally Inspired Models of Information Processing
- Single-Layer Networks and Boolean Functions
- Multilayer Networks
- Information Processing in Neural Networks
8.2. Neural Network Applications
- Language Learning in Neural Networks
- Neural Network Models of Children's Physical Reasoning
Laboratory Works
- 1.Implement and simulate concepts of cognition process
- 2.Implement and simulate intelligent agents
- 3.Implement and simulate neural networks
- 4.Use tools like PSY Toolkit, PsyNeuLink for cognitive science simulations
Text Books
- 1.José Luis Bermúdez, Cognitive Science: An Introduction to the Science of the Mind, Cambridge University Press
- 2.Mind, Body, World: Foundations of Cognitive Science, UBC Press
- 3.Daniel Kolak, William Hirstein, Peter Mandik, Jonathan Waskan, Cognitive Science, An Introduction to Mind and Brain, Routledge Taylor and Francis Group
- 4.Amit Konar – Artificial Intelligence and Soft computing: Behavioral and Cognitive Modeling of the Human Brain, CRC Press