Multiple instantiation and rule mediation in SHRUTI

The SHRUTI model demonstrates how a neurally motivated connectionist architecture can support encoding of complex evidential and relational knowledge and perform rapid inference and decision-making with that knowledge. Key to the successful operation of the SHRUTI system is its encoding of causal rules and its capacity to handle multiple instantiation of relational predicates. We present here a detailed description of the implementation of causal rules and of the manner in which multiple instantiation is achieved within the current SHRUTI architecture. The implementation described here represents an improvement over earlier realizations of similar functionality. In particular, it solves the multiple instantiation problem using a significantly simpler connectionist circuit.