System and method for generating robot genome

Data processing: artificial intelligence – Machine learning

Reexamination Certificate

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C706S013000, C706S014000

Reexamination Certificate

active

07937337

ABSTRACT:
A system and method for generating a robot genome. Internal state attribute preferences of internal states and behavior preferences are input by a user, and a set of one or more robot genomes containing initial values of genes is generated. A masking process of each robot genome of the generated robot genome group is performed so attributes are manifested. Robot genomes that underwent the masking process are loaded into a personality engine. A reliability value is calculated from a manifestation result of each robot genome, and reliability values of extracted robot genomes that satisfy a particular user reliability value are determined. Extracted robot genomes are modified when the user reliability value is not satisfied, and a new robot genome group including the modified robot genomes is generated. A robot genome satisfying the user reliability is extracted by iteratively performing the above procedures for the newly generated robot genome group.

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