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An abstract consequence relation can be defined on a language without selecting a particular class of expressions out for special treatment.
If K is an epistemic state, then a nonmonotonic consequence relation can be defined as follows: A B iff B ∈ K*A.
Moreover, we can define both a classical, monotonic consequence relation for this class of models and a defeasible, nonmonotonic relation (in fact, the nonmonotonic consequence relation can be defined in a variety of ways).
The adjacency relation can be defined between two material anatomical entities that are close, but are not connected.
Based on distance, relation by means of preposition near or far, as well as adjacency relation, can be defined.
Similar(54)
Upper ontologies define top-level concepts such as physical objects, activities, mereological and topological relations from which more specific classes and relations can be defined.
Consequence relations can be defined in a variety of ways, such as Hilbert, Tarski, and Scott relations.
Similar relations can be defined for an exponential prior, and they can be obtained through the convolution of (16) and (17).
These causal relations can be defined by linguistic values that involve the uncertainty and hesitancy and can be transformed to the fuzzy numbers by representing triangular, trapezoidal, sigmoid, and Gaussian functions [23].
These relations can be defined by specifying conditions between entities, such as the distance or the relative position.
Additionally, each concept type can be associated to a knowledge base for normalization, and relations can be defined by specifying the types of the intervening concepts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com