Embodied cognitive agents must be able to process two very different kinds of inputs: interoceptive stimuli (stimuli originating inside of the body) and natural language. To support these complex functionalities, developers must address, among other issues, two kinds of paraphrase: a) reformulation of the representation of physiological events (e.g., symptoms) in "lay" terms that can be understood and remembered by the cognitive agent and b) representation of the meaning of verbal messages in terms compatible with how related content is stored in the cognitive agent's memory. In this paper we describe how these types of paraphrase are treated within a system that uses the same knowledge representation language throughout while permitting different agents to have idiosyncratic ontologies and fact repositories (memories).
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