Statistical Mechanics Algorithm for Response to Targets (SMART)

It is proposed to apply modern methods of nonlinear nonequilibrium statistical mechanics to develop software algorithms that will optimally respond to tar­ gets within short response times with minimal com­ puter resources. This Statistical Mechanics Algorithm for Response to Targets (SMART) can be developed with a view towards its future implementation into a hardwired Statistical Algorithm Multiprocessor (SAM) to enhance the efficiency and speed of response to tar­ gets (SMART_5AM). I. Identification of Sample Problems (A) Target Variables-Recognition Consider the grid in Fig. 1, defined within a given time epoch, where the grid is to be conceived as a general­ ized "radar" screen, representing data being accumu­ lated by multiple sensors. Each cell has information pertaining to relocatable targets that may be moving between cells. This information is assumed to be further encoded into target variables, e.g., coordinate position, velocity, acceleration, numbers of targets within these categories, etc.