Mental Spaces from a Functional Perspective

Abstract

In his book Mental Spaces, Fauconnier develops a powerful theory of human knowledge representation and linguistic processing that handles a variety of problems in linguistics and the philosophy of language in a simple, uniform, and intuitively plausible way. However, he has little to say about the structure or general role of mental spaces in cognition. The present paper proposes that mental spaces are a means of organizing knowledge in support of a general inference method, simulative reasoning, found in various guises both in logic and in Artificial Intelligence. The structuring required to fulfill this role allows us to make a wide variety of predictions which seem to be borne out by evidence from natural language. In attributing a specific function to mental spaces, this paper suggests that the theory of mental spaces defines a potentially significant paradigm for knowledge representation in Artificial Intelligence.