Abstract
This chapter will look at various applications of natural language communication to cyber-physical systems. One of the assumptions that it makes is that such communication is not only necessary for the future systems, but also should be done on a level acceptable and natural to humans, rather than training them to accommodate machine capabilities with exact and precise commands. We will address a grain size of commands or descriptions that could be given to a system—at the same time the physical capabilities of a system will be sketched only as needed for purposes of examples. The range of commands that we are talking about is a typical algorithmic description of a task at the low level and a natural one for a human task description on the high level. A low, more detailed, fine-grain-sized level is assumed to exist already. The higher, coarser-grain-sized level is what we are striving for, in the sense of being able to switch to it automatically when convenient, i.e., to pay with some vagueness, as people and language do, for the ease of not having to resolve an ambiguity.
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Notes
- 1.
Let us assume here that animals do know things and can be valid agents of the concept know just like people are valid agents of it.
- 2.
The author is grateful to Victor Raskin for pointing out that this is not that different from considerations underlying Weinreich’s [19] objections to what he referred to as Katz and Fodor’s [20] “infinite polysemy” in their semantic theory. Why, Weinreich asked, does the theory have to differentiate between two senses of ingest (eat solids/drink liquids) but not between two senses of eat (with a fork/with a spoon)? Reversing it to fit our discussion, we can say that English masks the latter distinction with the word eat but reveals the former distinction with two different words, both, incidentally, in much more common usage than the masking ingest.
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Taylor, J.M. (2014). The Importance of Grain Size in Communication Within Cyber-Physical Systems. In: Suh, S., Tanik, U., Carbone, J., Eroglu, A. (eds) Applied Cyber-Physical Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7336-7_9
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