Combining belief and utility in a structured connectionist agent architecture

The shruti model demonstrates how a system of simple, neuron-like elements can encode a large body of relational causal knowledge and provide the basis for rapid inference. Here we show how a representation of utility can be integrated with the existing representation of belief, such that the resulting architecture can be used to reason about values and goals and thereby contribute to decision-making and planning.