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Is a New Software Library to Simulate Natural Processes like Hunger Needed?
I'm approaching this from a software perspective, and this might pertain to anyone had experience with TensorFlow and similar libraries for machine learning and neural nets.

My question is this: in order for artificial intelligence to more accurately simulate consciousness, bodily processes that may influence thoughts, and more complex response to stimuli that may not always be deterministic, would a new library similar to TensorFlow or PyTorch be necessary, or are these libraries sufficient enough? I'm pretty sure you could implement neural networks with <i>some</i> stochastic input/output with a software like TensorFlow, see this paper:<!--StartFragment--><a href=""></a><!--EndFragment-->

But I'm wondering if a <b>new</b> software library, potentially predicated on <b>new</b> maths like Linear-Time Logic/Fuzzy Logic, would be more useful to those in the biotech world (which touches upon neuroscience, biochemistry, even philosophy). Are natural processes of the body, both internal and external, sometimes non-deterministic or act in a way that could potentially be simulated by a slight amount of randomness (or a threshold of randomness before a state like hunger is switched on?)
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