Predicting Plan Failure by Monitoring Action Sequences and Duration
نویسندگان
چکیده
منابع مشابه
Predicting Failure in the Hydraulic Lift Structures with Monitoring and Fuzzy Logic
There are several strategies for maintenance and repairing of devices in industry. However, they are still confronted with many uncertainties. A hydraulic lifting device after ten years of working in a technical center in Isfahan is faced with uncertainty in terms of reliability. Being able to know the reliability of pieces means predicting failure occurrences, which is accomplished by conditio...
متن کاملPredicting Failure in the Hydraulic Lift Structures with Monitoring and Fuzzy Logic
There are several strategies for maintenance and repairing of devices in industry. However, they are still confronted with many uncertainties. A hydraulic lifting device after ten years of working in a technical center in Isfahan is faced with uncertainty in terms of reliability. Being able to know the reliability of pieces means predicting failure occurrences, which is accomplished by conditio...
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We present a monitoring tool for plan execution in non-deterministic environments, which are described in an action language, based on non-monotonic logic programming. Thanks to it, deviations of concrete executions from expected ones can be detected, and diagnostic explanations in terms of unsuccessful action executions can be obtained. The latter may be exploited for execution recovery, and m...
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The execution of tasks for a mobile robot embedded in a dynamic environment brings about several challenges, due to the dynamic changes of the environment and the inaccurate perception of the robot. This paper tackles the problem of on-line execution monitoring when the agent has different tasks and several plan to accomplish them, as in the BDI framework. Our method considers uncertainty in th...
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Linking observed and executable actions appears to be achieved by an action observation network (AON), comprising parietal, premotor, and occipitotemporal cortical regions of the human brain. AON engagement during action observation is thought to aid in effortless, efficient prediction of ongoing movements to support action understanding. Here, we investigate how the AON responds when observing...
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ژورنال
عنوان ژورنال: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
سال: 2017
ISSN: 2255-2863
DOI: 10.14201/adcaij2017627184