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Boltzmann Machine: A Boltzmann Machine is a type of artificial neural network used in machine learning. It consists of interconnected nodes that model probabilistic relationships between binary variables. Also see Neural networks, Artificial neural networks.
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Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments.

 
Author Concept Summary/Quotes Sources

Marvin Minsky on Boltzmann Machine - Dictionary of Arguments

I 214
Boltzmann machine/distributed memory/Minsky: How could those receivers learn which input patterns to recognize? One way would be to use the kind of evidence-weighing machinery (…).
Problem: [such a system] can transmit only one signal at a time. The problem is that if several transmitting-agents were aroused at once, almost all (…) connecting wires would be activated, which would then arouse all the receiving-agents and cause an avalanche.
I 215
Solution: Boltzmann machine: the so-called Boltzmann machine resembles a Perceptron in having an automatic procedure for learning new connection weights, but it also has some ability to resolve ambiguities by using a variety of ring-closing process. In designing (…) clever ways to reduce the numbers of connecting wires, most researchers have proposed wiring the connections at random, so that no signal on any particular wire has any significance by itself but represents only a fragment of each of many unrelated activities.
>Neural networks
, >Artificial neural networks.
Micronemes: The connection lines themselves will constitute our micronemes!
>Terminology/Minsky.

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Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments
The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.

Minsky I
Marvin Minsky
The Society of Mind New York 1985

Minsky II
Marvin Minsky
Semantic Information Processing Cambridge, MA 2003


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Ed. Martin Schulz, access date 2024-04-28
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