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Using a Feeling Based Lexicon in Integrating Language and Reasoning

Working on metaphor based spatial and embodied reasoning, we have discovered that by properly designing and integrating several networks, it is possible not only to parse the metaphorical abstraction of discourse, it is also possible to expand this abstraction into a complete set of spatial imagery, mappings and relationships as well as a set of feelings that facilitates analysis of presuppositions, current imagery and feelings, anticipated outcomes and rational responses in addition to appropriate natural language interaction at the discourse partner’s level of domain abstraction. It is also possible to augment these features with reminded and related imagery. The links in the network are based on constituent feelings, and thus the correlation between two concepts used for reminding is based on whether the underlying basic or aggregate feelings are similar. It is not based on similarity of definitions, or other higher level cognitive association such as coappearance in a memory. While important in their own right, we assert that these higher level associations are not required for a substantial amount of perception and reasoning. We have utilized the networks described above to perform high level reasoning without augmentation by domain specific knowledge.