Patent Document ID: 7984013
Application ID: 12026244
Patent Flag: 1

Claim One:
1. A method for learning behavior in a software robot, comprising: a software robot executing the steps of: detecting a kind of at least one object in cyberspace related to a kind of a presently manifested action, and a kind and variation of at least one state among one of percept states and emotional states preset in the software robot so as to change in relation to the kind of the action; finding episodes respectively corresponding to each of the at least one object in cyberspace, each of the at least one emotional state and each of the at least one percept state, respectively defined in the software robot, the kind of each of the at least one object in cyberspace related to the detected kind of the manifested action among multiple episodes detecting a variation in the found episodes and storing the variation related to each state of at least one state among one of percept states and emotional states preset so as to change in relation to the kind of the manifested action; calculating a representative variation, using the variation stored in response to the found episode and the variation detected in response to the manifested action; and storing the representative variation as a variation of the found episode.