Gaussian fluctuations of random point measures generated by cooperative sequential adsorption

A finite number of points are sequentially allocated in a finite domain of d-dimensional space. The probability distribution of a point depends on all previously allocated points. We consider a situation when this dependence vanishes as the domain is saturated by points. The law of large numbers and the central limit theorem are proved for the generated sequence of random point measures as the number of points goes to infinity