Transferring practical algorithms and guidelines from the Source Domain to
the Target Domain is cost-effective in System development. The strength of
Analogical Inferences can indicate similar properties between the Source Domain and
Target Domain. Therefore, Practical algorithms and guidelines can adapt to
the Target Domain. Besides, System Developers may consider that Target and
Source Domains can be allocated in the same System Platform with high integration
mode.
Analogical Inference can genuinely configure into mental representations
of the Target Domain under some circumstances. Parameter adaptation in the Target
Domain can prove good algorithm validity. System Developers explore knowledge
beyond Source domains as theoretical frameworks for system development. The Source
Domain contains knowledge that can ensure practical algorithms and consistency
of system performances in the target domain.
Invisible Entities would instantiate in Non-Biological Systems when system
developers use Analogical Inferences with low structural mapping.
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