Bromberger (1992a, p.176) claims that linguists "often impute properties to types after observing and judging some of their tokens and seem to do this in a principled way" and calls the principle that licenses this inference the Platonic Relationship Principle.
Quantitative approaches to information as range also have their origins in the inverse relationship principle.
In this case, the more worlds that support a proposition, the likelier the propositions truth, and, via the inverse relationship principle, the less information it carries.
Insofar as they subscribe to the Inverse Relationship Principle, the extensionalist approaches outlined in the previous section can be affected by what has been defined, with a little hyperbole, as the Bar-Hillel-Carnap Paradox (Floridi [2004b]).
In the in silico branch of the hazard estimation field, a common technique consists of putting into practice the Structure-Activity Relationship principle in either a qualitative or a quantitative way.
The type is thus a very important theoretical object, whose function is to unify all the tokens as being "of the same type"; in accordance with the Platonic Relationship Principle, the type has properties based on the properties of some of its tokens, but in a complex way in addition, the tokens have some of their properties in virtue of what properties the type has.
These are issues that need special consideration in investigating the board-CEO relationship principle of good governance.
One can either keep the thermodynamic theory in its traditional form and carefully explicate the relationship its principles bear to the newer probabilistic conclusions, or one can, as has been done in deeply interesting ways, generate a new "statistical thermodynamics" that imports into the older theory probabilistic structure.
Because nonviolence is essentially a form of healing (in most cases, a relationship), the principles that govern the field of nonviolence apply to the notion of healing the body.
Structure activity relationship (SAR) principles can then be used in the design of next generation MMPI drugs that discriminate between the MMP targets and antitargets in cancer.
