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Multiple inheritance systems may lead to multiple "parent-offspring" relations.
Jablonka and Lamb (2005) present a general account of biological evolution based on the multiple inheritance systems perspective.
Conversely, a single inheritance channel may involve multiple inheritance systems, in the sense used by Jablonka and Lamb.
They have identified multiple inheritance systems, each with several modes of transmission, that have different properties, and that interact and coevolve (Jablonka 2001, p. 100; Jablonka & Lamb 2005).
Addressing these issues requires quantitative modeling, and eventually the integration of multiple inheritance systems with their different characteristics into population genetics.
One of the most interesting ways in which multiple inheritance systems can interact evolutionarily is through processes such as the Baldwin Effect and genetic assimilation.
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The multiple inheritance system perspective highlights a variety of questions (see section 4) and many fundamental questions remain open.
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.
Polyhierarchy and multiple inheritance are indisputable desiderata of terminology systems [ 60].
Traits inherited through one inheritance system can provide scaffolding for other inheritance systems.
The MA is structured as a directed acyclic graph with multiple inheritance using both is a and part-of relationships, and is organized in multiple ways from both spatial and anatomical system perspectives.
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multiple operating systems
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