Less Is More: Degrees of Compositionality for Complex Signals

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Abstract Summary

Travis LaCroix (University of California, Irvine)

I propose a formal framework for measuring the amount of information contained in a complex signal. The basis for this model is the relative entropy of the complex signal as a whole compared to the entropy of its constitutive parts when decomposed. On this definition, we have a clear way of determining the degree of compositionality of a complex signal and thus a criterion for whether or not a complex signal is compositional in the first place. Several complicating factors are addressed.

Submission ID :
NKDR832
Abstract Topics
Department of Logic and Philosophy of Science, University of California, Irvine
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