Abstract: An operation rule determination device includes: an evaluation function setting unit that sets a second evaluation function that has been altered from a first evaluation function in which a condition relating to operation of a controlled object is reflected, such that a difference in an evaluation function between time steps of evaluation relating to the operation of the controlled object is reduced; and a learning unit that performs learning on an operation rule of the controlled object using the second evaluation function, and performs learning on the operation rule of the controlled object using a learning result and the first evaluation function.

Abstract: A learning device includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: perform reinforcement learning of control over a control target; use data used in the reinforcement learning to learn a model that shows the relationship between a state relating to the control target, control over the control target, and a temporal change in the state relating to the control target; and use the model and the result of the reinforcement learning to learn control over the control target.

Abstract: An operation rule determination device includes an environment execution unit that obtains a state of a control target after each operation and the degree associated with the state for a series of operations on the control target, by using degree information in which the state and the degree of desirability of the state are associated with each other, and a risk-considered history generation unit that calculates a cumulative degree obtained by accumulating the obtained degree for the series of operations, and, when the cumulative degree satisfies a condition, reduces the degree associated with the state after the series of operations in the degree information.

Abstract: A control device calculates, by simulation of a control target, information indicating a trend of response of the control target. The control device calculates, based on the information indicating the trend of the response of the control target, an input value to the control target in order to bring an output value of the control target closer to an envisaged value.

Abstract: An estimation device estimates the relationships among a plurality of items, on the basis of at least one of: the state of a prediction model that receives input of past values of the items or past values of some of the items and then outputs a prediction value for at least one of the items; and differences in the prediction accuracy of the prediction model with respect to different inputs.

Abstract: A setting device sets a parameter value of a simulator that simulates a simulation subject. The setting device calculates weights of respective output items based on an output value of the simulator and a reference output value. The reference output value is subject to simulation according to the output value of the simulator. The setting device controls, by using an evaluation function, learning of a setting of a parameter value of the simulator. The evaluation function is based on the output value of the simulator, the reference output value, and the weights.

Abstract: An estimation device determines a state estimation target portion of a monitoring target based on qualitative inference that uses designated portion qualitative expression information qualitatively indicating a state of a designated portion of the monitoring target, and acquires state candidate qualitative expression information that qualitatively indicates a candidate for the state of the state estimation target portion. The estimation device acquires state candidate quantitative expression information that quantitatively indicates a candidate for the state of the state estimation target portion, based on the state candidate qualitative expression information.

Abstract: A training device updates, among a plurality of models, a model for a region that includes a given sample based on the sample. The plurality of models are provided for each region obtained by dividing a state space that includes a sample indicates a state about a control object and the plurality of models represent an evaluation of an action of the control object in response to control over the control object. The training device evaluates an action of the control object in a given state, based on a model for a region that includes a sample indicating the state.

Abstract: An information processing device acquires training data. The training data includes time-series data of a measurement item regarding a target and time-series data of an item that influences the target. The information processing device trains, by using the training data, a model that receives an input of time-series data of the measurement item and outputs time-series data of the item that influences the target.

Abstract: A state acquisition means acquires a state of a control target at a first time. An action decision means decides on an action at a second time that is a control timing subsequent to the first time such that a value calculated when the state has been input to a pre-trained value function is largest. The value function is trained such that a value related to a sum of rewards based on states of the control target at control timings between the second time and a third time subsequent to the second time is calculated when a process of deciding on an action between the second time and the third time from the state of the control target at the first time and the action at the second time has been iterated.

Abstract: An operation rule determination device includes an environment execution unit that obtains a state of a control target after each operation and the degree associated with the state for a series of operations on the control target, by using degree information in which the state and the degree of desirability of the state are associated with each other, and a risk-considered history generation unit that calculates a cumulative degree obtained by accumulating the obtained degree for the series of operations, and, when the cumulative degree satisfies a condition, reduces the degree associated with the state after the series of operations in the degree information.

Abstract: An inference device performs a qualitative inference using an inference rule which, from an input of a value indicating an increase and a value indicating a decrease, derives an output representing any one of an increase, a decrease, or no change.

Abstract: An information processing device includes: a plurality of linear combination nodes that linearly combine input values; a selection node that is provided to the linear combination node and calculates, according to the input values, a value indicating whether or not a corresponding linear combination node is selected; and an output node that outputs an output value calculated based on a value of the linear combination node and a value of the selection node.

Abstract: An inference device makes an inference in accordance with first-order predicate logic by using: a true or false of a proposition that determines a state of a target by using a predicate that represents the state of the target; and an inference rule where a predicate representing a state of a target in an antecedent differs from a predicate representing a state of a target in a consequent. The predicate representing the state of the target in the antecedent and the predicate representing the state of the target in the consequent represent a proposition that determines a state of a target in a different time step.

Abstract: Target state inference unit infers a target state of a system and a partial target state thereof between a first state of the system and the target state thereof based on the first state, inference knowledge, and quantitative knowledge, the system being configured to be operated based on a manipulation procedure. Manipulation sequence inference unit infers a manipulation for a transition to the partial target state based on a manipulation derivation rule. Learning setting generation unit generates a learning setting for the inferred manipulation based on a learning setting derivation rule. A learning agent creates information about detailed manipulations in the manipulation based on the learning setting for the manipulation.

Abstract: A washing machine is provided. The washing machine includes an input shaft, configured to supply a rotary power to a rotation part for rotating washings; a motor, configured to rotate in a forward and backward direction and served as a power source of the rotation part; a transmission arranged between an output shaft of the motor and the input shaft of the rotation part. The transmission includes a transformable driving side pulley unit disposed on the output shaft; a transformable driven side pulley unit disposed on the input shaft; a driving belt for transferring power between the pulley unit. The driving side pulley unit/driven side pulley unit is directly installed on the output shaft/input shaft by locating each end of the output shaft/input shaft at a movable pulley and a fixed pulley respectively, so that the driving side pulley unit/driven side pulley unit rotates integrally with the output shaft/input shaft.

Abstract: Provided is a game system including at least one processor configured to: receive a selection of at least one of a plurality of second objects each associated with one of a plurality of conditions for choosing a first object and one of a plurality of parameters that is used for choosing the first object satisfying the one of the plurality of conditions; notify a user by displaying information on a possibility that the first object satisfying the plurality of conditions respectively associated with the plurality of second objects is chosen, by using the plurality of parameters respectively associated with the plurality of second objects, when a selection of the plurality of second objects is received; and choose the first object satisfying the plurality of conditions by using the plurality of parameters.

Abstract: Provided is an associated information improvement device that improves associated information. The associated information improvement device is provided with: a selection means for selecting, on the basis of priority information in which associated information having two out of a plurality of states relating to a target system associated therewith and numeric information relating to this associated information are associated, associated information in which the numeric information satisfies a first prescribed condition; a specification means for preparing a path including an intermediate state from some state to a goal state on the basis of the selected associated information, and specifying a reward given to a state included in the path; and a calculation means for calculating numeric information for the case in which the specified reward and a difference between the numeric information and prescribed numeric information relating to the numeric information satisfy a second prescribed condition.

Abstract: A game system comprising at least one processor configured to: execute a sport game based on a first character group operated by a user; set any one of a plurality of roles as a role to be played by the user in a match; acquire basic locations of first characters based on formation data on the first character group; set a plurality of the first characters corresponding to each of the plurality of roles based on the basic locations of the first characters; select a plurality of operation subject candidates from among the first characters based on the role of the user and a setting of the plurality of the roles; switch an operation subject of the user among the plurality of operation subject candidates during the match; and cause the operation subject of the user to act based on the user's operation during the match.

Abstract: A surface light source device includes a light source; a light guide plate that has a light entrance surface through which light enters, and that emits the light entering through the light entrance surface from a light exit surface; a wiring board; and a metal frame. The metal frame includes a bottom portion having a bottom surface that faces a surface on an opposite side to the light exit surface, a side wall erected on an outer periphery of the bottom surface, and a projecting portion provided on the side wall so as to project toward the bottom surface side. The metal frame houses the light source, the light guide plate, and the wiring board. At least a part of the light source is disposed between the bottom portion and the projecting portion, and the wiring board is disposed between the light source and the bottom portion.