Perceptrons

Case A1949EE3-63A3-41FA-A48E-5CAF32FEB4EF
Sponsor: Robert Thibadeau

  • Status

    State
    Next Steps
    Case Date
    Watch Video
    Jurors Accepted
    Juror Verdicts Finalized

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  • Details

    Name
    Category
    URL
    Accusation
    Lie Truth
     
    Argument

  • Verdicts

    Answer: Yes
    Answer Confidence: 65 %
    Supporting Text:
    There may be a better model for the unit of neural computation but this one appears to be the best. It remains to see if this model is replaced by a better one.

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Yes
    Answer Confidence: 65 %
    Supporting Text:
    There may be a better model for the unit of neural computation but this one appears to be the best. It remains to see if this model is replaced by a better one.

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    Reflected that the perceptron is a highly predictive, grounded computational explanation for brain function.

    Answer: Yes
    Answer Confidence: 80 %
    Supporting Text:
    There may be a better model for the unit of neural computation but this one appears to be the best. It remains to see if this model is replaced by a better one.

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    I agree. Perceptrons model computational aspects of the brain’s neuron networks. However, they are far from modelling the way the brain functions at the global level..

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:
    Is this the kind of accusation best suited to Truth Court? It seems to be a university lecture that the uninitiated are in no position to judge the rightness or wrongness of.

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    The percetron models this by receiving numerical input values representing incoming data signals. So thats why its a good model of neutral units.

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    I tried to provide a complete explanation of my hypothesis.

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    Works for me.

    Answer: No
    Answer Confidence: 90 %
    Supporting Text:
    Noted that while it is a robust model, the "whole truth" in neuroscience is an evolving field

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    I tried to provide a complete explanation of my hypothesis.

    Answer: No
    Answer Confidence: 90 %
    Supporting Text:
    There are aspects to perceptron networks that are not found in the brain, and vice versa.

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    As with all science, I tried not to include any lies in making my case.

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    Lies require intent. Science requires both a narrow window of disbelief and an open-minded acceptance of alternative theories.

    Answer: No
    Answer Confidence: 90 %
    Supporting Text:
    Acknowledged the complexities and other models that exist in the broader scientific context.

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    As with all science, I tried not to include any lies in making my case.

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:
    Perceptrons certainly model successfully some aspects of brain activity, but they are not the truth.

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    There is no deceit.
    Answer Confidence: 90 %
    Supporting Text:
    Can't be sure as with any scientific hypothesis.

    Answer:
    There is no deceit.
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    THAT'S THE WHOLE POINT!!! It's called "the scientific method" for a reason.
    Answer Confidence: 90 %
    Supporting Text:
    Science isn't about absolute conclusions, it's about statistical certainty. We use hypotheses to test theories and if the results are rigorous and credible, then we have an initial conclusion. But then that conclusion can be tested again and again. It's called "the scientific method" for a reason.

    Answer:
    There is no deceit.
    Answer Confidence: 90 %
    Supporting Text:
    Any deceit is the potential for overstatement by others,

    Answer:
    There is no deceit.
    Answer Confidence: 90 %
    Supporting Text:
    Can't be sure as with any scientific hypothesis.

    Answer:
    There is no deceit.
    Answer Confidence: 90 %
    Supporting Text:
    In the way this case is presented as a hypothesis there is no deceit about the proposition. But the question arises, if the the statement un controversial, why the case is presented in this way.

    Answer:
    I don't know.
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    There is no deceit.
    Answer Confidence: 90 %
    Supporting Text:

    Answer: No
    Answer Confidence: 100 %
    Supporting Text:
    The truth is intended.

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:
    Wait, what?

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    Truth is intended.

    Answer: Yes
    Answer Confidence: 90 %
    Supporting Text:
    The truth is intended

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    The motivation is to be informative
    Answer Confidence: 100 %
    Supporting Text:

    Answer:
    The motivation is to be informative
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    The motivation is to be informative
    Answer Confidence: 100 %
    Supporting Text:

    Answer:
    The motivation is to be informative
    Answer Confidence: 95 %
    Supporting Text:
    To advance the scientific understanding of neural systems.

    Answer:
    The motivation is to be informative
    Answer Confidence: 100 %
    Supporting Text:

    Answer:
    I'm not sure what the motivation is.
    Answer Confidence: 90 %
    Supporting Text:
    I suspect the motivation is to give more weight behind the concept of the perceptrons as opposed to,other ideas of neuronal networks.

    Answer:
    The motivation is to be informative
    Answer Confidence: 90 %
    Supporting Text:
    The motivation is to inform. Whether the accusation is true or not has to be determined by people in this field. I don't have enough prior knowledge to opine either way, and I dare say few people do.

    Answer:
    The motivation is to be informative
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Acceptable
    Answer Confidence: 90 %
    Supporting Text:
    I think it is important to make this case explicitly as the theme of an entire article in order to clarify why the claim is made.

    Answer: Acceptable
    Answer Confidence: 90 %
    Supporting Text:

    Answer: Acceptable
    Answer Confidence: 90 %
    Supporting Text:
    It would be better if there were a more simple equation of valuation of perceptrons that could be implemented, but the theory is solid.

    Answer: Acceptable
    Answer Confidence: 90 %
    Supporting Text:
    This theory is highly acceptable when presented as a "computational model" or "theoretical framework."

    Answer: Acceptable
    Answer Confidence: 90 %
    Supporting Text:
    I think it is important to make this case explicitly as the theme of an entire article in order to clarify why the claim is made.

    Answer: Don't Know
    Answer Confidence: 90 %
    Supporting Text:
    It is not clear to me why the case is being made.

    Answer: Acceptable
    Answer Confidence: 90 %
    Supporting Text:
    It's acceptable for scientists to present their theories and argue they are true.

    Answer: Acceptable
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    No label needed
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    This is true.
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    No label needed
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    No label needed
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    No label needed
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    Hypotheses are acceptable
    Answer Confidence: 90 %
    Supporting Text:
    As are counter arguments which the article quoted does not think there should be.

    Answer:
    No label needed
    Answer Confidence: 90 %
    Supporting Text:

    Answer:
    No label needed
    Answer Confidence: 90 %
    Supporting Text: