Computational Cognitive Science.pdf
This material is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, students will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes? What are the inductive principles that allow us to acquire new knowledge from the interaction of prior knowledge with observed data? What kinds of data must be available to human learners, and what kinds of innate knowledge (if any) must they have?
These cognitive science materials are available FREE at MIT Open Courseware website, we merely collect the information, Online Free Ebooks neither affiliated with the author(s), the website and MIT brand nor responsible for its content and change of content. (Read our disclaimer here or here before you download the document from the website written above by clicking the below links).
Download Links:
- Introduction.pdf
- Foundations of Inductive Learning.pdf
- Knowledge Representation: Spaces, Trees, Features.pdf
- Knowledge Representation: Language and Logic 1.pdf
- Knowledge Representation: Language and Logic 2.pdf
- Knowledge Representation: Great Debates 1.pdf
- Knowledge Representation: Great Debates 2.pdf
- Basic Bayesian Inference.pdf
- Graphical Models and Bayes Nets.pdf
- Simple Bayesian Learning 1.pdf
- Simple Bayesian Learning 2.pdf
- Probabilistic Models for Concept Learning and Categorization 1.pdf
- Probabilistic Models for Concept Learning and Categorization 2.pdf
- Unsupervised and Semi-supervised Learning.pdf
- Non-parametric Classification: Exemplar Models and Neural Networks 1.pdf
- Non-parametric Classification: Exemplar Models and Neural Networks 2.pdf
- Controlling Complexity and Occam’s Razor 1.pdf
- Controlling Complexity and Occam’s Razor 2.pdf
- Intuitive Biology and the Role of Theories.pdf
- Learning Domain Structures 1.pdf
- Learning Domain Structures 2.pdf
- Causal Learning.pdf
- Causal Theories 1.pdf
- Causal Theories 2.pdf
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