Warren Fox         Senior Electrical Engineer         EIS Department         Applied Physics Laboratory         University of Washington	APL-UW is developing new technologies based on computationally intelligent techniques (i.e., neural nets, fuzzy systems, evolutionary computation) to improve Air ASW sensor systems. APL-UW and EE-UW will apply computationally intelligent concepts to a set of distributed sonobuoys as well as the field management of those sonobuoys. We will work closely with ongoing efforts at NAWC, SPAWAR, and AETC. We are investigating new techniques to identify the optimum placement (both geographically and in depth) of multistatic sonobuoys in a difficult littoral environment. Using improved techniques that can evaluate the environmental acoustic environment, such as a neural net to estimate the bottom loss and backscatter, we will develop new techniques that can define where the buoys should be placed, what is the optimum transmit ping sequence, how the receivers should be monitored, and how new buoys may be needed to cover "holes" in the current sonobuoy field. We will work with Alsup and Sullivan to incorporate our results with theirs and with Bartberger Laboratory to incorporate new capabilities into future developments of EER mission planning. ACIT-MS is a three year project that will be a mixture of new algorithm development, simulated and real data analysis, and will be concluded with effectiveness studies.