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The author and her team have developed a demonstration ocean surveillance information fusion expert system under an Internal Research and Development (IR &D) program at Science Applications, Inc. (SAI).Specifically, the expert system models the thought processes of an ocean surveillance watch analyst attempting to assess vessels' missions and destinations given their correlated tracks, history, and location /status of other vessels in the domain of interest.For the demonstration, rules were developed for determining the mission and destination of selected survey ships.The expert system was developed using the OPS5 production system and the Franz Lisp programming language on a VAX /VMS computer system.By the end of 1983, a simple demonstration was running.The development plans for 1984 include expanding the scope of the system to handle multiple vessel tracks and more mission types and enhancing the user interface of the system.The architecture and design of the expert system will be presented in this paper, implementation issues will be discussed, and progress and future plans will be overviewed. Description of problemScience Applications, Inc. (SAI) is involved in a number of system development and scientific research contracts to develop sophisticated automated analytical aids for users in various disciplines. A few years ago, we began investigating AI /Expert System technology as a means for building these analytical aids in areas where human experts are in great demand and short supply.The expert system described in this paper is one of many SAI efforts to develop automated analytical aids which provide expert assistance to analysts, in this case, ocean surveillance analysts.The U.S. Navy has been engaged for a number of years in the important, voluminous task of surveying and assessing the daily activities of platforms on, under and above the world's ocean surfaces. Information fusion, the merging of different types of information on the same subject from different sources, is a major portion of the problem solving paradigm in ocean surveillance. Information from a multitude of sources flows into ocean surveillance collection centers in huge amounts.There are varying degrees of completeness, reliability, and usefulness of the information, and different reports on the same subject may collaborate or conflict with each other. Many times, there is insufficient manpower to organize, correlate and prioritize the information and too few expert ocean surveillance analysts to interpret and assess the information in a timely manner.This is the problem area the expert system described in this paper has been designed to address.There are three main stages in the analysis of information about ocean platforms and their movements (tracks). The first stage, after information is collected from sensors, is the determination of whether a sensor has actually seen a platform and the translation of sensor outputs into platform identifications and position reports, if possible.