Mental Spaces from a Functional Perspective |
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| Authors: | John Dinsmore |
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| Affiliation: | 1. Dept. of Computer Science, Bowie State University, Bowie, MD 20715, United States;2. Sensors and Electron Devices Directorate, Army Research Laboratory, Adelphi, MD 20783, United States;1. Institute of Philosophy II, Ruhr-Universität Bochum, Universitätsstrasse 150, D-44801 Bochum, Germany;2. Computer Science Department and Institute for Intelligent Systems, The University of Memphis, 3720 Alumni Ave, Memphis, TN 38152, United States;1. University of Extremadura, Spain;2. Aston University, United Kingdom;3. University of Málaga, Spain;4. University of Castilla-La Mancha, Spain;1. Univ. Polytechnique Hauts-de-France, CNRS UMR 8201, LAMIH, Le Mont Houy, 59313 Valenciennes Cedex 9, France;2. INSA Hauts-de-France, Le Mont Houy, 59313 Valenciennes Cedex 9, France;3. ESTIA/PEPSS, Technopole Izarbel, 64210 Bidart, France |
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| 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. |
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