The semantic problem of science and its implications

John E. Gray; Harold Szu

doi:10.1117/12.818156

19 March 2009 The semantic problem of science and its implications

John E. Gray, Harold Szu

Proceedings Volume 7343, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII; 73430D (2009) https://doi.org/10.1117/12.818156
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Perception is the apparatus of many of the potential new sciences of the twenty-first century. We can imagine science as a symbolic language where there are concrete words which are taken from measurements while abstract words are defined by theory to construct new ways to think about more fuzzy concepts that occur in more human observation based sciences. By considering both semantics and meaning as part of establishing a theory we go beyond where syntax of mathematics has led us to in science. Thus, we argue that extending Shannon's model of communication to the semantic problem of communication is the problem of twenty-first century science and mathematics.

Citation Download Citation

John E. Gray and Harold Szu "The semantic problem of science and its implications", Proc. SPIE 7343, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII, 73430D (19 March 2009); https://doi.org/10.1117/12.818156

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