Authors
Kaganov Yu.
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Degree
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PhD in Technique, Associate Professor, Bauman Moscow State Technical University |
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E-mail
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kaganov.y.t@bmstu.ru |
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Location
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Moscow |
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Articles
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Metagraph approach for hybrid intelligent information systems descriptionThe article is devoted to the hybrid intelligent information systems (HIIS) description using metagraph
approach. The generalized structure of HIIS is proposed based on the modules of «consciousness
» and «subconscious». To implement the generalized structure of HIIS it is proposed to use holonic
multi-agent system (MAS). The structure of such a MAS can be described using metagraph approach.
Using metagraph model it is possible to describe the structure of both static and dynamic agents
to implement HIIS. Metagraph approach is one of the variants of the description of «networks with
the emergence». The emergence in metagraph is achieved through the use of metavertices. It is shown
that unlike the metagraph, the hypergraph is not fully «networks with the emergence». Hypernetwork
fully contains the possibilities of describing the «networks with the emergence». The emergence in
hypernetwork is achieved through the use of hypersimplex. Metagraphs compared to hypernetworks
provides a more simple and flexible description of the «networks with the emergence». Metagraph
data model, including the agents, can be presented in the predicate form, which has the property of
homoiconicity. The predicate representation of data and agents allows agents of higher levels to modify
the structure of the agents of the lower levels, which is an important feature of the development of
HIIS. As an example of metagraph approach usage it is possible to describe the structure of a perceptron
neural network. The model of neural network may be represented in metagraph form. To create,
change, learn and execute the neural network different metagraph agents are used. The proposed metagraph
approach may be considered as complex model for HIIS development.
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