  We consider the decision making by mammalian cells, looking them as dynamic
systems with rhythms. We calculate the effective dimension of the cell division
model of the healthy mammalian cells consistent with the data: it is described
via a four dimensional dynamic system.
  We assume that the cell's decision making property is strongly affected by
the cells rhythms, their causal relations, and by the correlation between
internal states of different cells in tissue. There is a strong correlation
between the states of different healthy cells (verified partially
experimentally), and we assume that there is no such a correlation between
internal states of the healthy and cancer cells. The origins of the cancer are
just the disruption of this correlation (self-identification of the cells) and
the change of the causal relations between the Circadian and cell cycle
rhythms. Assuming the Gaussian channel version of the cell-cell communications
and a key role of public goods for the cancer cells, we get a strong
correlation between the states of different cancer cells.
