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Artificial Intelligence
AI Foundations
Artificial Intelligence Overview
Brief History of AI
AI Research Paradigms
Philosophical Foundations of Intelligence
Symbolic AI Paradigm
Machine Learning Paradigm
Data Science
AI Safety & Ethics
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Table of Contents
Introduction
1. Symbolism (GOFAI)
1.1 Philosophical Foundation
1.2 Knowledge Representation
1.3 Reasoning Methods
1.4 Expert Systems
1.5 Limitations
2. Connectionism
2.1 Philosophical Foundation
2.2 Development Trajectory
2.3 Core Ideas
2.4 Key Achievements
2.5 Limitations
3. Behaviorism (Situated AI)
3.1 Philosophical Foundation
3.2 Reinforcement Learning
3.3 Evolutionary Algorithms
3.4 Swarm Intelligence
3.5 Limitations
4. Paradigm Comparison
5. Hybrid Approaches and Modern Trends
5.1 Neuro-Symbolic AI
5.2 LLMs as Reasoning Engines
5.3 World Models
6. Paradigm Selection Guide
References
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