CS代考计算机代写 AI PowerPoint Presentation
PowerPoint Presentation
Introduction to CS7637
Lesson Preview
Class goals, outcomes, and strategies
Class projects and assessments
Computational psychometrics
Raven’s Progressive Matrices
Principles of CS7637
You will learn…
Core methods of knowledge-based AI
Tasks addressed by knowledge-based AI
How knowledge-based AI agents use these methods to address these tasks
The relationship between AI and human cognition
You will be able to…
Design and implement a knowledge-based AI agent
Use these strategies and agents to address complex, practical problems
Use the design and results of these agents to reflect on human cognition
You will learn by…
Learning by Example
Learning by Doing
Project-Based Learning
Personalization
Learning by Reflection
You will complete…
Projects
Short assignments
Tests
Exercises
Discussions
Raven’s Progressive Matrices
Test written in the 1930s to examine general intelligence.
Consists of 60 multiple-choice visual analogy problems.
Unique in that problems are strictly visual.
Widespread usage as a valid test for intelligence.
Problems
2×2 matrix problems
3×3 matrix problems
2×1 matrix problems
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5. KBAI agents use heuristics to find solutions that are good enough, though not necessarily optimal.
6. KBAI agents make use of recurring patterns in the problems they solve.
7. The architecture of KBAI agents enables reasoning, learning, and memory to support and constrain each other.
1. KBAI agents represent and organize knowledge into knowledge structures to guide and support reasoning.
2. Learning in KBAI agents is often incremental.
3. Reasoning in KBAI agents is top-down as well as bottom-up.
4. KBAI agents match methods to tasks.
Principles of CS7637
Frequently-used readings
Artificial Intelligence by Patrick Winston
Knowledge Systems by Mark Stefik
Artificial Intelligence by Elaine Rich and Kevin Knight
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
To recap…
Class goals, outcomes, and strategies
The Project: Raven’s Progressive Matrices
Principles of CS7637
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