Implication

Inputs

  • A (1/0)
  • B (1/0)

Outputs

  • A ⇒ B

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
A (1/0): 0
B (1/0): 0
A ⇒ B: 1
2.
A (1/0): 0
B (1/0): 1
A ⇒ B: 1
3.
A (1/0): 1
B (1/0): 0
A ⇒ B: 0
4.
A (1/0): 1
B (1/0): 1
A ⇒ B: 1

Applicable neurons

  • NOT
  • OR
  • AND
  • XOR
  • NAND
  • NOR
  • IF
  • Square - content
  • Rectangle - content
  • Compound interest: annual compounding
  • Square root (√¯)
  • OR
  • character t
  • (-∞, x)
  • convert seconds into MM:SS
  • get minutes from time (hh:mm:ss)

Algorithm

Test

Code made by AI:
/**
 * 1: 
 *
 * @return {Array}
 */
function neuron501()
{
return [1];
}

/**
 * Minus (x - y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron2(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '-'+Number(x2)).toString()];
}

/**
 * NOT: 
 * 
 * @param x1 1/0
 * @return {Array}
 */
function neuron567(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron501();
  outputs[1] = arr[0];

  arr = neuron2(outputs[1], outputs[0]);
  outputs[2] = arr[0];

  return[outputs[2]];
}


/**
 * Multiple (x × y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron3(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '*'+Number(x2)).toString()];
}

/**
 * 1: 
 *
 * @return {Array}
 */
function neuron501()
{
return [1];
}

/**
 * Minus (x - y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron2(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '-'+Number(x2)).toString()];
}

/**
 * NAND: 
 * 
 * @param x1 1/0
 * @param x2 1/0
 * @return {Array}
 */
function neuron572(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron3(outputs[0], outputs[1]);
  outputs[2] = arr[0];

  arr = neuron501();
  outputs[3] = arr[0];

  arr = neuron2(outputs[3], outputs[2]);
  outputs[4] = arr[0];

  return[outputs[4]];
}


/**
 * Implication: 
 * 
 * @param x1 A (1/0)
 * @param x2 B (1/0)
 * @return {Array}
 */
function neuron597(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron567(outputs[1]);
  outputs[2] = arr[0];

  arr = neuron572(outputs[2], outputs[0]);
  outputs[3] = arr[0];

  return[outputs[3]];
}


Code made by AI:

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