Method and apparatus for learning behavior in software robot
A robot and software technology, applied in the field of genetic robots, can solve problems such as inability to learn homeostasis
Inactive Publication Date: 2008-10-01
SAMSUNG ELECTRONICS CO LTD
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Problems solved by technology
[0021] Therefore, in the above-mentioned learning function of the existing software robot, the behavior of teaching the software robot is limited to a set of similar actions, and it is possible to teach the software robot only some specific actions
Also, during reinforcement learning, the user must reward or punish the software robot's actions one by one
Learning about emotions and motivation, but not how to maintain homeostasis, can be achieved using state-of-the-art learning methods
Method used
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[0033] Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings. Although the same components are shown in different drawings, the same components are denoted by the same reference numerals in the following description and drawings. Also, in the following description of the present invention, when a detailed description of well-known functions and structures incorporated herein may make the subject matter of the present invention unclear, the detailed description thereof will be omitted.
[0034] Software robots exist in the information space based on their characteristics. In the information space where software robots exist, one or more software robots may exist, and various components represented in the information space, such as items, food, toys, chairs, etc., may exist at the same time. In the present invention, a software robot and all components are called objects. In addition, in the information space,...
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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.
Description
technical field [0001] The present invention relates to a genetic robot, and more particularly, to a method and apparatus for learning behavior (ie, action) in a software robot among genetic robots. Background technique [0002] Generally, a genetic robot refers to an artificial creature, a software robot (ie, Sobot), or a general robot having its own unique genetic code. In addition, the robot genetic code represents a single robot genome composed of a plurality of artificial chromosomes. Here, a software robot refers to an artificial creature (artificial creature) in the form of software that can interact with a user as an independent software agent and can also be used as the intelligence of a hardware robot that connects a sensor network with the robot. unit. [0003] When the multiple artificial chromosomes defined in the above software robot interact with the external environment of the robot, they define the change of the internal state of the robot (including motiv...
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Login to View More IPC IPC(8): G06N3/00G06N3/12
CPCG06F3/011G06F7/023G06F16/444G06F40/16
Inventor 李江熙金光春金礼薰金钟焕赵世衡崔胜唤
Owner SAMSUNG ELECTRONICS CO LTD