Connectionist expert systems are expert systems which may have their awareness base represented in a connectionist structure. The neural network attributes of learning and generalization, adaptability, robustness, associative storage of data, massive parallelism, as well as other characteristics cause them to a very powerful paradigm for building knowledge based expert systems.