AI
This is currently a stub page outlining many of the areas we will be covering in the somewhat near future.
- Artificial Intelligence
- Intelligent Agent
- Expert System
- Data Mining
- Artificial Neural Network
- Reinforcement Learning
- Heuristic
- Bayesian Inference
- Support Vector Machine
- K Nearest Neighbors Algorithm
- Overfitting
- Knowlege Representation and Reasoning
- Knowlege Engineering
- Knowlege Based Systems
- Reasoning System
- Inference Engine
- Knowledge Base
- Commonsense Knowledge
- Default Logic
- Qualification Problem
- artificial intelligence (AI) / machine intelligence
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intelligent agent (IA)
- data mining
- expert systems
- Artificial neural networks (ANN) or connectionist systems
- Reinforcement learning
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Overfitting
- symbolism (such as formal logic)
- Bayesian inference
- analogizers such as SVM and nearest-neighbor
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Artificial neural networks (ANN)
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two classes of models: structuralist and functionalist
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Ontology engineering
- Knowledge representation and reasoning (KRĀ², KR&R)
- Knowledge engineering (KE)
- knowledge-based system (KBS)
- Reasoning system
- Inference engine
- knowledge base (KB)
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Commonsense knowledge
- Knowledge representation problems:
- Default logic
- Qualification problem
- The breadth of commonsense knowledge
- The subsymbolic form of some commonsense knowledge
- Default logic