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Modern digital computers are simply networks of logic gates.
Complex decision-making and effector programs can be generated for example by using networks of logic AND, OR, and NOT gates.
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"The artificial intelligence is actually the human intelligence that is building the network of logic," Stewart says, "the same network you would use when writing a story.
One can view a network of logic gates as a neural network, with activations confined to two values (0 and 1) and activation functions given by the usual truth-functions.
Connectionism traces back to McCulloch and Pitts (1943), who studied networks of interconnected logic gates (e.g., AND-gates and OR-gates).
The reason for this, I think, is that using Linux actually feels like using a computer as in, the remarkably complex network of transistors, logic gates, and the other stuff ensconced whatever device you're reading this on.
We introduce a concept of a fuzzy multiplexer, discuss its use in the design of logic networks and elaborate on the role of such networks in fuzzy modeling.
During a study of solutions to provide the CRM with vectors of addresses, we investigated the application of LUTs, FPGA-like reconfigurable logic, networks of functional units, and various forms of address generators.
According to Magalhães et al. [17], FCMs are originated from the theories of neural networks, fuzzy logic, and evolutionary computing.
To gain an insight into the inner layout of this network a logic model of the TOL system was implemented, simulated and experimentally validated.
In this article, we investigate this issue in the context of logic modeling of signaling networks.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com