Abstract: In a predictive action determination apparatus (10), a state observation section (12) observes a state with respect to an environment (11) and obtains state data s(t). An environment prediction section (13) predicts, based on the state data s(t), a future state change in the environment. A target state determination section (15) determines, as a target state, a future state suitable for action determination with reference to a state value storage section (14). A prediction-based action determination section (16) determines an action based on a determined target state.

Abstract: In a predictive action determination apparatus (10), a state observation section (12) observes a state with respect to an environment (11) and obtains state data s(t). An environment prediction section (13) predicts, based on the state data s(t), a future state change in the environment. A target state determination section (15) determines, as a target state, a future state suitable for action determination with reference to a state value storage section (14). A prediction-based action determination section (16) determines an action based on a determined target state.

Abstract: A method and an apparatus for retrieving images which allows easy retrieval of a desired image from an image database stored in an electronic or optical recording medium or a communication network. As the first step of searching, through the menu entry section, the user enters multi-leveled retrieval requests for the keywords associated with an image. Received the requests, the retrieval section evaluates the user's necessity for the image based on at least the entered requests and the number of the requests. Then the retrieved image is displayed on the screen, according to the calculated necessity. The method and apparatus thus provide the user with a much-needed image in order of precedence by qualifying the user's necessity for the image.

Abstract: A communication support system comprises an information terminal device (101) for inputting and outputting voices (or sentences) and a personal mixing section (111) for outputting voices (or sentences) input to a communication server (102) by synthesizing them according to the interest of an individual user. Thus, one of conversations flowing through the communication server that matches with a user's interest is directed to the user.

Abstract: A method of detecting a position of a radio mobile station in radiocommunications, which is capable of accurately and simply finding the position of the mobile station. At a measuring point the mobile station measures the reception radio strength levels from a plurality of base stations and conveys the measurement results through the base station to a control station. The control station learns, through a neural network, the correlation between the reception radio strength levels and the position of the mobile station on the basis of the measurement results at a plurality of measuring points and the positions of the measuring points. Subsequently, when the mobile station communicates to the control station the reception radio strength levels measured at an arbitrary point, the control station estimates the position of the mobile station, causing those measurement results, on the basis of the correlation obtained through the learning.

Abstract: A method of detecting a position of a radio mobile station in radiocommiunications, which is capable of accurately and simply finding the position of the mobile station. At a measuring point the mobile station measures the reception radio strength levels from a plurality of base stations and conveys the measurement results through the base station to a control station. The control station learns, through a neural network, the correlation between the reception radio strength levels and the position of the mobile station on the basis of the measurement results at a plurality of measuring points and the positions of the measuring points. Subsequently, when the mobile station communicates to the control station the reception radio strength levels measured at an arbitrary point, the control station estimates the position of the mobile station, causing those measurement results, on the basis of the correlation obtained through the learning.

Abstract: past positions of a plurality of composing elements indicated by various past arrangement examples are given to each potential function corresponding to one composing element, and parameter values of the potential functions corresponding to the composing elements are automatically set on condition that a past total potential energy obtained by solving the potential functions is minimized. Thereafter, the parameter values are given to the potential functions in which a position of any composing element is not determined, and particular positions of the composing elements are determined on condition that a total potential energy obtained by solving the potential functions is minimized.

Abstract: A method of detecting a position of a radio mobile station in radiocommunications, which is capable of accurately and simply finding the position of the mobile station. At a measuring point the mobile station measures the reception radio strength levels from a plurality of base stations and conveys the measurement results through the base station to a control station. The control station learns, through a neural network, the correlation between the reception radio strength levels and the position of the mobile station on the basis of the measurement results at a plurality of measuring points and the positions of the measuring points. Subsequently, when the mobile station communicates to the control station the reception radio strength levels measured at an arbitrary point, the control station estimates the position of the mobile station, causing those measurement results, on the basis of the correlation obtained through the learning.

Abstract: A method of detecting a position of a radio mobile station in radiocommunications, which is capable of accurately and simply finding the position of the mobile station. At a measuring point the mobile station measures the reception radio strength levels from a plurality of base stations and conveys the measurement results through the base station to a control station. The control station learns, through a neural network, the correlation between the reception radio strength levels and the position of the mobile station on the basis of the measurement results at a plurality of measuring points and the positions of the measuring points. Subsequently, when the mobile station communicates to the control station the reception radio strength levels measured at an arbitrary point, the control station estimates the position of the mobile station, causing those measurement results, on the basis of the correlation obtained through the learning.

Abstract: A method of detecting a position of a radio mobile station in radiocommunications, which is capable of accurately and simply finding the position of the mobile station. At a measuring point the mobile station measures the reception radio strength levels from a plurality of base stations and conveys the measurement results through the base station to a control station. The control station learns, through a neural network, the correlation between the reception radio strength levels and the position of the mobile station on the basis of the measurement results at a plurality of measuring points and the positions of the measuring points. Subsequently, when the mobile station communicates to the control station the reception radio strength levels measured at an arbitrary point, the control station estimates the position of the mobile station, causing those measurement results, on the basis of the correlation obtained through the learning.

Abstract: A method of detecting a position of a radio mobile station in radiocommunications, which is capable of accurately and simply finding the position of the mobile station. At a measuring point the mobile station measures the reception radio strength levels from a plurality of base stations and conveys the measurement results through the base station to a control station. The control station learns, through a neural network, the correlation between the reception radio strength levels and the position of the mobile station on the basis of the measurement results at a plurality of measuring points and the positions of the measuring points. Subsequently, when the mobile station communicates to the control station the reception radio strength levels measured at an arbitrary point, the control station estimates the position of the mobile station, causing those measurement results, on the basis of the correlation obtained through the learning.