Weighted Abduction Inference Difference Detection
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Solution Overview
Problem
Existing inference apparatuses do not compare inference results before and after changes in conditions used for abduction, making it difficult for users to understand differences in weighted abduction results with multiple solution hypotheses.
Innovation Solution
An information processing apparatus and method that integrates solution hypothesis information generated by weighted abduction and detects differences between integrated solution hypothesis information before and after changes in observed events or rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple solution hypotheses are outputted from weighted abduction before and after condition changes, then the inference system provides comprehensive explanation candidates, but the results become difficult to understand for users
Solution Approach 1:
The patent merges multiple solution hypotheses from before and after condition changes into a unified comparison structure. The difference detection unit integrates and compares hypothesis sets, combining their characteristics into a structured difference representation that maintains comprehensiveness while improving user understandability through systematic organization.
Solution Approach 2:
The patent segments the comparison process into distinct components: identifying hypotheses before condition changes, identifying hypotheses after condition changes, and detecting differences between them. This segmentation allows complex multi-hypothesis comparison to be broken down into manageable steps, improving user comprehension while maintaining complete explanation coverage.
2Measurement precision
If the inference apparatus traces nodes through edges in an integrated graph, then probabilistic inference can be performed to calculate node importance, but the apparatus does not compare inference results before and after condition changes
Solution Approach 1:
The patent performs preliminary identification of solution hypotheses before condition changes occur, storing them for later comparison. This preliminary action enables the system to subsequently detect and report the impacts of condition changes on inference results, adding adaptability while maintaining precise node importance calculation through the integrated graph tracing mechanism.
3Reliability
If conditions (observed events and rules) are updated to reflect current system state, then the inference system remains accurate and up-to-date, but the inference results change and become difficult to track
Solution Approach 1:
The patent implements a feedback mechanism where the difference detection unit compares current inference results with previous results and reports the differences. This feedback loop maintains accuracy by using updated conditions while simultaneously tracking changes by comparing against historical inference results, preventing information loss about the evolution of inference outcomes.
Data Source
AI summary
An information processing apparatus including: integrating unit that integrates, using observed event information representing an observed event that has been observed and rule information representing inference knowledge, a plurality of pieces of solution hypothesis information generated by weighted abduction processing; and detecting unit that detects differences between first integrated solution hypothesis information, which has been generated by the integrating means integrating one or more pieces of first solution hypothesis information generated using the observed event information and the rule information, and second integrated solution hypothesis information, which has been generated by the integrating means integrating one or more pieces of second solution hypothesis information generated when one or both of the observed event information and the rule information have changed.