Analogical inference can be truly configured into mental representations of the target domain under some circumstances. Practical algorithms and guidelines can be adapted in target domain while target domain and source domain allocate in the same system platform with high integration mode. Parameter adaptation in target domain can prove good algorithm validity when source domain uses theoretical frameworks for system development.
Source domain with instance of domain knowledge ensures practical algorithms and consistency of system performances in target domain.
It is cost-effective to determine the strength of analogical inferences involves in shared properties of source domain and target domain.
The strength of analogical inferences challenge system owner to save costs and time for detection of optimal algorithm model in target domain. Invisible entities would instantiate in non-biological systems when system developers use analogical inferences, which involve with structure-mapping of “Failed Threads”.