650 results about "Decision making methods" patented technology

The present invention is directed to an interactive tool for teaching decision-making skills. The tool requires users to identify choice options and, for each choice option, relevant consequences, outcomes, goals, and / or driving forces. The tool further provides a methodology to evaluate the performance of the user.

The embodiment of the invention provides a decision-making method and deviceused in the process of lane changing, equipment and a storage medium. The method comprises the following steps ofacquiring afirst planned trajectory along which a self-driving vehicle runs towards a first lane and a second planned trajectory along which the self-driving vehicle runs towards a second lane in a preset period of time in the process of lane changing of the auto-driving vehicle, wherein the first lane is a target lane in the process of lane changing, and the second lane is a lane where the self-driving vehicle is located at the beginning of the process of lane changing; predicting the predicted trajectories of obstacles in the preset period of time according to the operation status of at least one obstacle in a preset range around the self-driving vehicle; and making a decision of the running action of the self-driving vehicle according to the first planned trajectory, the second planned trajectoryand the predicted trajectories of the obstacles. The decision-making method and device in the embodiment of the invention can cope with the unexpected situation on a road in the process of lane changing of the self-driving vehicle.

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.

An expert decision-making method is emulated based on a history of behaviors by experts in a variety of observed situations. The history of behaviors is built up from observations of actions taken by experts in analyzing a plurality of situations. Situation data representative of a situation to be processed is received, and situation features are extracted from the situation data. Each situation feature is associated with an expert behavior method used to process the situation. A behavior method is recognized from a pattern of situation features. Recognizing a behavior method is based on feature / method separation data in multidimensional space of features into areas with each area associated with a method used by experts. Parameter values for parameters in the recognized behavior method are calculated based on the situation features. The calculation of parameter values is accomplished by recognizing parameter calculation rules and calculating the parameter values using the rules. A parameter calculation rule for each parameter in the behavior method is recognized from a pattern of situation features. Recognizing a parameter calculation rule is based on feature / parameter-calculation-rules separation data of multidimensional space of features into areas with each area associated with a parameter calculation rule used by experts. The recognized behavior method is executed on the situation data using the calculated parameter values to recommend a solution for the situation. The recommended solution has solution data representing a plan of action to provide the solution and remainder data representing unprocessed situation data. A test detects whether the remainder data is in a target range. If the remainder data is not in the target range, the actions to recommend a solution are repeated until the test detects the remainder data is in the target range.

A drive unit drives a wafer table in a Y-axis direction based on a measurement value of an encoder that measures position information of the wafer table in the Y-axis direction and based on known correction information in accordance with position information of the wafer table in a non-measurement direction (e.g. Z, θz and θx directions) that is measured by an interferometer at the time of the measurement by the encoder. That is, the wafer table (a movable body) is driven in the Y-axis direction based on the measurement value of the encoder that has been corrected by correction information for correcting a measurement error of the encoder that is caused by a relative displacement of a head and a scale in the non-measurement direction. Accordingly, the movable body can be driven with high accuracy in a desired direction while measuring the position by the encoder, without being affected by the relative motion between the head and the scale in directions other than a direction to be measured (measurement direction).