Fujitsu Corporation

Tamami Sugasaka

Shigemi Nagata

Minoru Sekiguchi

Akira Sato

Ken Yokoyama

Ryusuke Masuoka

Hironobu Kitajima

Naoki Akaboshi

Kazushige Saga

Taiji Sasage

Noriaki Murata

Yasuo Kubota

Kazuhiro Ikemoto

Junichi Sakaguchi

Syogo Hayashi

A scenario creating apparatus which creates a scenario for verifying operation of an information processing system in which a plurality of servers including a database server are connected, includes a collector that collects messages transmitted and received between the plurality of servers, when operation of the information processing system is being verified by a terminal apparatus that performs verification of operation; an association unit that associates the collected messages with each other; a sorter that sorts work models in ascending order of time at which access is made to the database server, the work models each being a group of the associated messages; and a scenario creating unit that creates the scenario on the basis of the sorted work models.

Scenario creating apparatus, scenario creating method, and storage medium storing scenario creating program

If an intermediary agent device or a database agent device cannot uniquely reply to an inquiry message issued from a user agent device, it generates a conditional reply message and returns the generated message to the user agent device. When receiving the conditional reply, the user agent device presents the conditions required for the conditional reply or a reply to a user.

Conditional reply processing method, conditional reply giving agent system device, and program storage medium

This invention pertains to neural network system for learning an external evaluation standard and for learning the evaluation from the outside for the processing result, in a system capable of internal evaluation of the correspondence between external information and the processing result of its own system for the input information. It purports to learn the external evaluation as the internal evaluation standard of the internal evaluation time. The learning system comprises an internal evaluation unit for evaluating an evaluation input pattern including input information at a first point in time and input information inputted at a point in time for the processing result of its own system for the input information according to the internal evaluation standard at a system execution time; and an evaluation desired pattern memory unit for making the external evaluation correspond with the evaluation input pattern and for memorizing it as an evaluation desired pattern for having the internal evaluation unit learn the external evaluation standard. The system is configured to have an internal evaluation unit to learn the evaluation desired pattern at a learning time of the system. This system is applicable in a robot control system.

System, for learning an external evaluation standard

A control apparatus structuring system for facilitated handling of a nonlinear control object, using a generic form of control rules, and which stably reaches a target value by setting plural virtual target values corresponding to the system states and by selecting one according to the distance to the target value. A processor performs a signal conversion function to realize input/output characteristics for a given teacher signal group. A virtual target controller controls advance knowledge about data relations between control state volumes. A calculator calculates a correction volume of a control state volume from the control state volume of a control object and a virtual target value defined by the control data of the virtual target controller corresponding to the control state volume. The system structures the processor to a desired control apparatus by giving an input of the control state volume to the processor, by supplying an output as the control operation volume to the control object, by obtaining a teacher signal through a correction of the control operation volume according to the correction volume then outputted from the calculator. The processor receives the difference between a current state volume and a targeted control state volume. The virtual target controller controls the advance knowledge about data relations between control state volumes by parametrizing the difference between a control state volume and its control target value.

Control apparatus structuring system

Growing community of inventors

Kawasaki, Japan

Tamami Sugasaka