|Intelligent Systems And Their Societies||Walter Fritz|
In a most general sense we can say that the activity of a brain, biological or artificial, is the discovery of patterns, the storing of patterns and the use of patterns.
The mind has an innate capability to recognize patterns. This capability is basic within the process that creates higher level concepts. In that process, the IS receives information from its various senses. It then searches within this information until it perceives a set, or pattern, that it already knows, between parts of the information. These parts it then replaces by the concept that expresses the pattern.
If, instead of a known pattern, a new pattern is discovered, the mind of the IS learns this new pattern and creates a new concept.
It is also interesting to note how patterns are involved in why we like music, paintings, or other common art forms. When we experience these things, we note some of the "patterns" such as the relationships between notes and their durations, or in paintings we may notice relationships of relative size, color, texture, or location. Finding these relationships is apparently a pleasant activity to us; just as any other successful activity, in moderate amount, is pleasant. In addition, we also seem to receive pleasure from the ways in which our recognition of these patterns, by analogy to past experiences, evoke pleasant emotions we had in similar experiences in the past.
Learning, in the artificial brain, is basically a discovery of patterns. It is a finding of patterns within the input data (senses) and also within the output data (acting). These patterns are newly created concepts.
Furthermore learning is a finding of patterns between the input and the output These are newly created response rules .Rules are similar to "productions" used in expert systems. They also have an input and show the corresponding output. The difference of rules from productions is that rules do not have the input and output stated in words, but in concepts, and that rules and concepts can be learned by the program itself.
The robot brain uses response rules and patterns when it decides what to do in a given situation.
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