* Another example could involve a neural net of software developers trying to build an application. Where over many iterations of building several applications, the algorithm learns that certain sub tasks are best given to certain developers (i.e. neurons) and certain sub tasks need to be given to multiple developers since it might be a difficult or an error prone problem to solve.
* The neural network architecture needn't be limited to just MLPs, they can be recurrent, convolutional or anything else.
* Obviously the problem I am unable get around is how the inputs and outputs are to be defined for given problem. Given that the neurons are humans who can solve quite general problems themselves, the inputs and outputs needn't be limited to just numbers.
* The optimization algorithm determines to whom these messages are sent and with what "weight".
To state some of the obvious:
- A neural net of just one human is AGI
- A company or any organization of humans can also be considered to be AGI. However the focus of my question is whether we can capitalize on the recent developments we've made in the neural networks architectures and optimization techniques and apply it to a neural net of humans.
Some additional points:
* Another example could involve a neural net of software developers trying to build an application. Where over many iterations of building several applications, the algorithm learns that certain sub tasks are best given to certain developers (i.e. neurons) and certain sub tasks need to be given to multiple developers since it might be a difficult or an error prone problem to solve.
* The neural network architecture needn't be limited to just MLPs, they can be recurrent, convolutional or anything else.
* Obviously the problem I am unable get around is how the inputs and outputs are to be defined for given problem. Given that the neurons are humans who can solve quite general problems themselves, the inputs and outputs needn't be limited to just numbers.
* The optimization algorithm determines to whom these messages are sent and with what "weight".
To state some of the obvious:
- A neural net of just one human is AGI
- A company or any organization of humans can also be considered to be AGI. However the focus of my question is whether we can capitalize on the recent developments we've made in the neural networks architectures and optimization techniques and apply it to a neural net of humans.