Data Entities
Data entities are the items that comprise the information processed in action entities. The data is arranged into structures known as sorts. Sorts are sets of mathematical objects, include operations that can be performed on those objects, and are defined according to algebraic criteria. These structures allow access to each individual entity. Examples of data entities can include concrete elements like maps, lists, sets, strings, characters, numbers, and truth values, more abstract elements used solely for the purpose of some computational operation, namely data access, like agents, cells corresponding to memory locations, and tokens, or elements like contracts and messages that are a composite of data components. An abstraction is a data entity that encapsulates an action entity, in which case enacting the abstraction results in the action being performed. This is the technique by which action semantics represents the declaring and invoking of subprograms.
Read more about this topic: Action Semantics
Famous quotes containing the words data and/or entities:
“Mental health data from the 1950’s on middle-aged women showed them to be a particularly distressed group, vulnerable to depression and feelings of uselessness. This isn’t surprising. If society tells you that your main role is to be attractive to men and you are getting crow’s feet, and to be a mother to children and yours are leaving home, no wonder you are distressed.”
—Grace Baruch (20th century)
“Experimental work provides the strongest evidence for scientific realism. This is not because we test hypotheses about entities. It is because entities that in principle cannot be ‘observed’ are manipulated to produce a new phenomena
[sic] and to investigate other aspects of nature.”
—Ian Hacking (b. 1936)