Neurons, knowledge hypernets, and information flow

Rooyen, Hendrik O. van ; Stetter, Franz

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URN: urn:nbn:de:bsz:180-madoc-19101
Document Type: Working paper
Year of publication: 2008
The title of a journal, publication series: Manuskripte / Reihe Informatik
Place of publication: Mannheim
Publication language: English
Institution: School of Business Informatics and Mathematics > Sonstige - Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik
MADOC publication series: Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
Subject: 004 Computer science, internet
Classification: CCS: K.3.1 ,
Subject headings (SWD): Wissensbasiertes System , Neuronales Netz
Individual keywords (German): Theorie des Lehrens und Lernens
Keywords (English): knowledge system , neural network , theory of teaching/learning
Abstract: We described a model of a neuron and a system for modelling nets of neurons. We notice that this could lead to application of Menger’s Theorem to information flow. In this paper we deal briefly with that topic in the system model. We deduce the transport network max-flow, min-cut theorem of Ford and Fulkerson for information flow and discuss the meaning of information flow.

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