The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 19, 2011

Filed:

Feb. 05, 2008
Applicants:

Kang-hee Lee, Seoul, KR;

Kwang-choon Kim, Suwon-si, KR;

Ye-hoon Kim, Daejeon, KR;

Jong-hwan Kim, Daejeon, KR;

Se-hyoung Cho, Daejeon, KR;

Seung-hwan Cho, Daejeon, KR;

Inventors:

Kang-Hee Lee, Seoul, KR;

Kwang-Choon Kim, Suwon-si, KR;

Ye-Hoon Kim, Daejeon, KR;

Jong-Hwan Kim, Daejeon, KR;

Se-Hyoung Cho, Daejeon, KR;

Seung-Hwan Cho, Daejeon, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01);
U.S. Cl.
CPC ...
Abstract

Disclosed is a method and apparatus for learning behavior in a software robot. The method includes detecting a kind of an object in cyberspace related to a kind of presently manifested action, and a kind and the variation of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; finding episodes respectively corresponding to each of one or more objects in the cyberspace, each of one or more emotional states and each of one or more percept states, respectively defined in the software robot, a kind of an object in cyberspace related to the detected kind of the action among multiple episodes for responding a combination of kinds of respective one or more actions and for storing variation related to each state, and a kind of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; using variation stored in response to the found episode and variation generated in response to the manifested action, and calculating a representative variation; and storing the representative variation as a variation of the found episode.


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