Information processing method and information processing program
The method addresses the inefficiency of existing collaborative task prediction and practice by creating simplified tasks through pattern elimination, reducing data and practice time while improving performance prediction and practice efficiency.
WO2026048039A1 Publication Date: 2026-03-05NT T INC
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Patent Information
- Application Number
- PCT/JP2024/031407
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-08-30
- Publication Date
- 2026-03-05
AI Technical Summary
Technical Problem
Existing methods require large amounts of data and extensive practice to predict and improve performance in collaborative tasks, as they lack the ability to identify effective situations for high performance.
Method used
An information processing method that narrows down collaborative tasks to essential situations by eliminating unlikely, single-solution, and similar action patterns from a payoff table, creating simplified tasks for improved prediction and practice.
Benefits of technology
Reduces the data required for machine learning and practice time by focusing on high-performance situations, enhancing the efficiency of collaborative task performance prediction and improvement.
✦ Generated by Eureka AI based on patent content.
Abstract
This information processing device receives an input of a gain table indicating the extent to which a cooperation task consisting of a combination of actions is performed, such input received for each of the combination patterns of the actions that can be taken by each performer in the cooperation task. Thereafter, the information processing device excludes, from the input gain table, an action that has no possibility of improving the performance of the cooperation task (first exclusion step). Next, the information processing device excludes, from the gain table resulting from the execution of the first exclusion step, patterns in which there is only one combination of the actions that improves the performance of the cooperation task (second exclusion step). Subsequently, if there are patterns with similar combinations of the actions in the gain table resulting from the execution of the second exclusion step, the information processing device excludes one of the patterns among the patterns with similar combinations of the actions (third exclusion step). Consequently, the information processing device outputs the combinations of actions remaining in the gain table after the execution of the third exclusion step.
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