Sony Corporation

Binsted-mckay Yugen-kaisha

Ugo Di Profio

Masahiro Fujita

Keiichi Yamada

Hideki Shimomura

Kouichi Matsuda

Akane Sano

Tsutomu Sawada

Yasuharu Asano

Tsuyoshi Takagi

Yukiko Yoshiike

Justin McKay

Kimberly Binsted

Provided is an information processing apparatus including: a voice analysis unit which performs an analysis process for a user speech; and a data processing unit which is input with analysis results of the voice analysis unit to determine a process which is to be performed by the information processing apparatus, wherein in the case where a factor of inhibiting process continuation occurs in a process based on the user speech, the data processing unit performs a process of generating and outputting feedback information corresponding to a process stage in which the factor of inhibiting occurs.

Information processing apparatus, information processing method, and program for providing feedback on a user request

An information processing apparatus includes an image analyzing unit performing a process of analyzing an image shot by a camera, a voice analyzing unit performing a process of analyzing voice input from a microphone, and a data processing unit receiving inputs of an analysis result of the image analyzing unit and an analysis result of the voice analyzing unit and controlling information to be output to a user. The data processing unit determines an output mode of the information to be provided to the user based on user information obtained from at least either one of the image analysis result and the voice analysis result, and system state information, and outputs the information to the user in the determined output mode.

Information processing apparatus, information processing method, and program

An information processing apparatus that constructs an information analysis processing configuration to be applied to information analysis processing in a target area including uncertainty is disclosed. The apparatus includes a data processing section that performs processing of automatically creating a Partially Observable Markov Decision Process (POMDP) model from the input of attribute data including attribute information and an attribute value, and a rule storage section storing a rule to be applied to processing of creating a Partially Observable Markov Decision Process (POMDP) in the data processing section, wherein the data processing section is configured to create a Partially Observable Markov Decision Process (POMDP) model by performing, as an action, processing of creating and outputting a question based on the attribute data, obtaining the answer to the question as observation information, and performing processing of creating probability distribution information corresponding to an object based on the obtained observation information.

Information processing apparatus, information processing method and computer program

Disclosed herein is an information processing apparatus configured to generate metadata corresponding to content including, a data output, a data input section, a control section, an interaction execution section, an interaction metadata generation section, and a content control section.

Information processing apparatus, information processing method, and computer program

Disclosed herein is an information-processing apparatus for constructing an information analysis processing configuration to be applied to information analysis processing in an observation domain including an uncertainty. The information-processing apparatus includes a data processing unit for: taking a Partially Observable Markov Decision Process as a basic configuration; taking each of elements included in every information space defined in the Partially Observable Markov Decision Process as a unit; analyzing relations between the elements; and constructing an Factored Partially Observable Markov Decision Process, which is a Partially Observable Markov Decision Process including the relations between the elements, on the basis of results of the analysis.

Partially observable markov decision process including combined bayesian networks into a synthesized bayesian network for information processing

A sentence generating method and apparatus for generating a joke sentence set having a dual meaning. A predetermined word in a selected first idiom is stored in a W list. A word of analogous sound having the pronunciation same as or analogous with the word in the W list and also being of the same word class as the word in the W list is stored in a RW list. It is then checked whether or not the subject word stored in the P list has a semantic relationship with the word of the analogous sound in the RW list. If the result of check is affirmative, a first joke sentence having the subject word in the P list and composed of the subject word of the P list and the first idiom is generated. A second idiom, corresponding to the first idiom, in which the word in the W list is replaced by the word of the analogous sound in the RW list, is generated, and a second joke sentence composed of the subject word of the P list and the second idiom is generated.

Sentence creation apparatus and creation method

The present invention relates to a program that allows a conversation to be performed with a user in a natural and human-like manner. Each of response candidate generating modulesthroughgenerates response candidate data based on its own rule, in response to voice data input from the outside through an input moduleand a response selecting module, and calculates a score of the response candidate data based on the response candidate data, the voice data and internal status data recorded in an internal status recording module, and then supplies the score to a response selecting module. In response to the supplied score, the response selecting moduleselects, as response data responsive to the input voice data, one piece of response candidate data, and outputs the one piece of response candidate data through a response output module. The present invention is applicable to a voice interactive apparatus mounted on a robot, etc.

Program, speech interaction apparatus, and method

A robot () is provided which includes a situated behaviors layer (SBL) (). This SBL () is formed in the form of a tree structure in which a plurality of schemata (behavior modules) is connected hierarchically in such a matter that the schemata are highly independent of each other for each of them to behave uniquely. A patent schema can define a pattern in which child schemata are connected, such as an OR type pattern in which the child schemata are caused to behave uniquely, AND type pattern in which the plurality of child schemata are caused to behave simultaneously or a SEQUENCE type pattern indicating a sequence in which the plurality of child schemata should behave, thereby permitting to select a behavior pattern of the robot (). Also, a new child schema can additionally be included in the SBL () without having to rewrite the schemata connection in the tree structure, whereby a new behavior or function can be added to the robot (). Namely, the plurality of behavior modules permits to enable the robot () to show a complicated behavior and have units thereof recombined.

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Kanagawa, Japan

Ugo Di Profio