Intelligent system

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This article relates to AI in computer science and engineering. For the game developer see Intelligent Systems.
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The expression intelligent system is sometimes used for incomplete intelligent systems, for instance for an intelligent house or an expert system. Here we talk about complete intelligent systems. Such a system has senses to gather information from its environment. It can act and has a memory of the results of its actions. It has an objective and by inspecting its memory it can learn from experience, how to better reach its objectives.

For a complete intelligent system all these capabilities have to be present.

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[edit] Intelligence

Many definitions of “intelligence” are used. For practical purposes we use the following: Intelligence is the systems level of performance in reaching its objectives.

[edit] System

A system is part of the universe, with a limited extension in space and time. Stronger or more correlations exist between one part of the system and another, than between this part of the system and parts outside of the system.

[edit] Examples of intelligent systems

Human beings and animals are intelligent systems. At present, reseach is advancing in building primitive artificial intelligent systems. Intelligent systems are usually characterized by their ability to adapt to dynamic situations in uncertain environments. This is a high bar that at present only living systems can match. For example, a refrigerator is not an intelligent system since it cannot learn.

[edit] Objective

An objective is a certain situation that some systems try to reach. Normally there are many levels of objectives, there can be a main objective and subobjectives. Senses A sense is that part of the system that can receive communications from the environment. Senses are needed so that the intellignt system can know its environment and act accordingly.

[edit] Situation

The situation is a series of concepts that the intelligent system uses to express the information estracted from the environment through its senses.

[edit] Action rules

An action rule is the result of an experience or the result of observing its memory. It is the physical storage by the intellignt system of a situation and a good corresponding action.

[edit] Memory

The memory is the physical storage of concepts and action rules. This includes the situations that the intelligent system has experienced.

[edit] Learning

Learning is probably the most important capacity of an intelligent system. It learns concepts from concurrent sense information. It learns action rules from its experience. Acting, possibly haphazard acting, in a certain situation, is stored with a value. An action rule has a higher value if it helped to reach an objective. Learning includes creating abstract concepts based on concrete examples. It includes learning composite concepts containing the pars of of an object. Learnig is also the detection or relationships (patterns) between the situation part of an action rule and the resulting future situation.

[edit] See also

[edit] External links

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