Consider, for example, multiple inheritance in biomedical ontologies, i.e., a single source entity class specializing multiple target entity classes through separate Is_a relations.
Figure 2 CFilterGraph class diagram showing the multiple inheritance.
Multiple inheritance systems may lead to multiple "parent-offspring" relations.
We propose a logical language for representing networks with nonmonotonic multiple inheritance.
Indeed, views that focus on multiple inheritance systems, may for the same reason not consider the inheritance of plastids as based on a distinct inheritance system.
Conversely, a single inheritance channel may involve multiple inheritance systems, in the sense used by Jablonka and Lamb.
Traits are a more robust alternative to multiple inheritance and enable object composition and reuse.
Record concatenation, multiple inheritance, and multiple-object cloning are closely related and part of various language designs.
Artificial Nonmonotonic Neural Networks acquire knowledge represented by a multiple inheritance scheme with exceptions, such as nonmonotonic inheritance networks, and then can extract the refined knowledge in the same scheme.
Multiple inheritance processes may be implicated in the heredity of a particular phenotypic trait.
