Machine Intelligence Test example essay topic

AI: Artificial Intelligence: The branch of computer science that deals with writing computer programs that can solve problems creatively; AI is used so computers can solve problems, learn and gain knowledge. AI is an attempt for computers to simulate human qualities. Areas of AI research: Learning, game theoretic methods, Reasoning, speech Intelligent agents, physical modeling Knowledge representation natural language Logic programming planning AI: Classification: AI can be classified into three different areas: Natural Language Processing which involves computers that can read, speak and understand natural language. Robotics which involves the development of intelligent robots. Expert Systems which is the simulation of the knowledge of human experts.

Intelligence: The ability to use knowledge for our own purposes is called thinking and is the basis of intelligence. Ability to think and reason, To learn, To acquire knowledge, To adapt to new situations A person is intelligent when they can solve difficult problems using logical reasoning. Interaction ism: States the mind is non-material, the body is material, and each can act on each other. Parallelism: Mind is spirit, body is material, and neither can act on each other. Materialism: Mind is, or a state of, part of the material body. The relevant part of the physical body is usually considered to be the central nervous system that is the brain and spinal cord.

Idealism: The body, along with everything else, is just an idea of the mind. Natural Language Processing: Computers are able to perform natural language processing at the syntax level. (syntax refers to the way in which words are put together to form phrases and sentences) Style checkers are able to detect punctuation errors, double word usage, typographical errors, sexist language and more. A Machine Intelligence Test: A simple test which determines whether or not a machine is behaving intelligently: Would this behaviour be considered intelligent if a human was observed behaving in the same way? The difficulty experience by artificial intelligence researchers is translating this massive amount of knowledge into a form that can be used by computers is called the Feigenbaum bottleneck: Identification and analysis of the chunks of knowledge. Chunk is used for an item of knowledge to indicate that knowledge does not appear in precisely defined units. The translation of that knowledge into a form that can be processed by a machine.

Robotics: Robotics is the intelligent interpretation of input signals into action, it involves mix of vision, touch and force sensing, voice recognition and natural language processing. Induction: One method of learning that is suitable for computer application is called induction. Induction is the process of determining general laws or rules that apply to a set of facts or particular instances. Induction is the opposite of deduction, which is the process of applying general rules to a set of facts to produce a conclusion.