Class / Patent application number | Description | Number of patent applications / Date published |
706051000 | Non-monotonic reasoning system | 9 |
20090271358 | Evidential Reasoning Network and Method - The present invention relates generally to expert systems that synthesize data from multiple disparate sources of evidential information. More specifically, the present invention relates to systems, methods, devices, and computer readable media for implementing evidential reasoning with multi-agent systems. | 10-29-2009 |
20130159240 | METHOD AND SYSTEM FOR ROOT CAUSE ANALYSIS AND QUALITY MONITORING OF SYSTEM-LEVEL FAULTS - System fault codes, component fault codes, and failure modes may be received at a system. A first level model comprising first level causal relationships and first level causal weights between the system fault codes and the component fault codes may be generated. A second level model comprising second level causal relationships and second level causal weights between the component fault codes and the failure modes may be generated. The first level model and the second level model may be combined to generate a model such as graphical model. One or more causal probabilities may be determined using the graphical model. | 06-20-2013 |
20130282644 | SENSOR BASED TRUTH MAINTENANCE - A truth maintenance method and system. The method includes receiving by a computer processor from RFID tags embedded in sensors, event data associated with events detected by said sensors. The computer processor associates portions of the event data with associated RFID tags and derives assumption data associated with each portion of the portions. The computer processor retrieves previous assumption data derived from and associated with previous portions of previous event data retrieved from the RFID tags and executes non monotonic logic with respect to the assumption data and the previous assumption data. In response, the computer processor generates and stores updated assumption data associated with the assumption data and the previous assumption data. | 10-24-2013 |
20140006333 | CORRECTING INFERRED KNOWLEDGE FOR EXPIRED EXPLICIT KNOWLEDGE | 01-02-2014 |
20140025622 | UNIVERSAL DATA DISCERNMENT - An contextual artificial intelligence system is disclosed. Intelligent business objects enable dynamic data object interaction and encapsulation of user context. Data is rationalized and data objects evolve by way of an artificial intelligence assisted process of self-discovery. Significant data is identified based upon factors such as cost, revenue and outcome and contextually significant result sets are automatically generated for users. | 01-23-2014 |
20150310347 | CONTEXT-AWARE HYPOTHESIS-DRIVEN AGGREGATION OF CROWD-SOURCED EVIDENCE FOR A SUBSCRIPTION-BASED SERVICE - A method and system for providing an answer to a subscription-based query service. The method includes acquiring context information and evidence information from one or more electronic devices based on a query. One or more belief values are assigned based on the evidence information and the context information. The belief values are aggregated for determining a score for competing hypotheses using a probabilistic model. Sufficiency of hypotheses is determined based on statistical significance for potential answer information to the query. | 10-29-2015 |
20160012341 | SYSTEM AND METHOD FOR PROVIDING EVIDENCE-BASED EVALUATION | 01-14-2016 |
20160140446 | Grading Sources and Managing Evidence for Intelligence Analysis - Mechanisms for evaluating an evidential statement in a corpus of evidence are provided. An evidential statement is received for determining a level of confidence in a hypothetical ontological link of an ontology. A source of the evidential statement is identified and a grading of the source of the evidential statement is determined based on a source grading measurement value indicative of a degree of reliability and credibility of the source. An indication of trustworthiness of the evidential statement is generated based on the source grading measurement value. A representation of the indication of trustworthiness of the evidential statement is output in association with the evidential statement. | 05-19-2016 |
20160203406 | SENSOR BASED TRUTH MAINTENANCE | 07-14-2016 |