since 07 November 2024 :

View(s) :

1 (0 ULiège)

Download(s) :

4 (0 ULiège)

References
Facsimile [PDF, 8.4M]

Anticipating in Modelling of Social Systems Neuronets with Internal Structure and Multivaluedness

Alexander Makarenko

p. 77-92

    Abstract

    In proposed report we consider the principles of constructions of new models of society, their applications and further research problems. Structure of proposed models consists from elements and bonds between them. Our societv models have analogies with neural network models. To account for mentality we propose to introduce the intrinsic mental models of World in elements, which represent the individuals or decision-makers. Accounting for the anticipatory aspects of individuals leads to presumable multivaluedness in models. Connections to consciousness and quantum mechanics investigations are discussed

    Index

    Keywords

    associative memory, internal structure, multivaluedness, neuronets

    Text

    Download Facsimile [PDF, 8.4M]

    References

    Bibliographical reference

    Alexander Makarenko, « Anticipating in Modelling of Social Systems Neuronets with Internal Structure and Multivaluedness », CASYS, 13 | 2002, 77-92.

    Electronic reference

    Alexander Makarenko, « Anticipating in Modelling of Social Systems Neuronets with Internal Structure and Multivaluedness », CASYS [Online], 13 | 2002, Online since 08 October 2024, connection on 27 December 2024. URL : http://popups.uliege.be/3041-539x/index.php?id=2777

    Author

    Alexander Makarenko

    National Technical University of Ukraine "KPI", Institute of Applied System Analysis, Department of Mathematical Methods of System Analysis

    By this author

    Copyright

    CC BY-SA 4.0 Deed