In bursting columns, the winner / learning cell is selected by maximum total excitation (including a penalty on cells with inactive segments, to encourage efficient use of all cells).
Currently ties are broken by keeping the first. The problem with this is, a set of blank columns bursting in
context A will each end up with cell 0 learning,
context B will each end up with cell 1 learning,
context C will each end up with cell 2 learning, etc.
So after depth contexts, the next one will be fully identical to context A.
Instead we need to break ties randomly, unlocking the combinatorial capacity for representation.
In bursting columns, the winner / learning cell is selected by maximum total excitation (including a penalty on cells with inactive segments, to encourage efficient use of all cells).
Currently ties are broken by keeping the first. The problem with this is, a set of blank columns bursting in
So after
depthcontexts, the next one will be fully identical to context A.Instead we need to break ties randomly, unlocking the combinatorial capacity for representation.