LEARNING ALGORITHM 2)3)
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A set of rules that does not rigidly determines the behavior of a system, but defines the basic characteristics and limits of all its potential behaviors.
The learning algorithm is implicit in any neural network which possesses a predetermined structure. Such a network organizes itself and constructs behavioral patterns by interaction with its environment. These patterns are conserved, or evolve within the limits of the organizational closure proper to the network.
The learning algorithm is a kind of second degree algorithm, that is able to produce numerous simpler and more specialized algorithms.
It allows an "economy" which, in G. BATESON's words "… consists precisely in not reexamining or rediscovering the premises of habit every time the habit is used" (1967, p.245).
Categories
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
Publisher
Bertalanffy Center for the Study of Systems Science(2020).
To cite this page, please use the following information:
Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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