Artificial Intelligence

• AI: the branch of computer science that simulates intelligent human behaviour
• Types of AI -

  • Narrow AI - A machine has superior performance to a human when doing one specific task
  • General AI - A machine is similar to a human when doing one specific task
  • Strong AI - Machine has superior performance to a human in many tasks
• Characteristics of AI -

  • Collection of data and rules
  • Ability to reason
  • Ability to learn and adapt
• • Expert System: AI that is developed to mimic human knowledge and experiences. They are usually used for answering questions using knowledge and inference.
  • Advantages
  • High level of expertise
  • High accuracy and consistent
  • High response times
  • Disadvantages
  • Setup and maintenance costs are very high
  • Can only rely on the information in the system
  • Tend to give cold responses sometimes
• • Machine Learning: a subset of AI in which machines are trained to learn from past experiences.
  • Difference Between AI and Machine Learning
  • AI:
  • Representation of human intelligence in machines
  • The aim is to build machines that think like humans
  • Machine Learning:
  • Machines are trained to make decisions without being programmed to
  • The aim is to make machines learn through data acquisitions