Artificial Intelligence

Artificial Intelligence

1. Basics

   • Use algorithms made by self AI
   • Learn from data
   • Analyse Enviroment
     • Take actions that maximize the chance of succes

2. Intelligent Agents

   • A system′s ability to correctly interpret external data, and to use those learnigs to achieve specific goals

3. Challenges

   • Reasoning and problem solving
   • Knowledge representation
   • Planning
   • Learning
   • Natural language processing
   • Perception
   • Motion and manipulation
   • Socisl Intelligence
   • General Intelligence

4. History

   • Antiquity
     • Greek drachma (currency)
       • Talos
         • Automaton
   • Literature
     • Frankenstein
     • Rossum′s Universal Robots

5. Tools

   • Neural networks
   • Logic
   • Deep learning
   • Search and optimization

6. Applications

   • Health care
   • Automotive
   • Finance and economics
   • Cybersecurity
   • Military
   • Government
   • Art
   • Videogames

7. Approaches

   • Cybernetics and brain simulation
   • Symbolic
   • Cognitive simulation
   • Logic-based
   • Anti-logic or scruffy
   • Knowledge-based
   • Sub-symbolic
   • Embodied Intelligence
   • Statistical Learning