Nec corporation (20240157551). INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM simplified abstract
Contents
- 1 INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.9.1 Unanswered Questions
- 1.9.2 How does this technique compare to existing methods for evaluating plan sequences in terms of accuracy and efficiency?
- 1.9.3 What are the limitations of the learned model used in generating the state sequence, and how do they impact the accuracy of the success probability calculation?
- 1.10 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM
Organization Name
Inventor(s)
INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240157551 titled 'INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM
Simplified Explanation
The patent application describes a technique for evaluating a plan sequence in relation to a control target, considering long-term effects. The method involves acquiring state information and a plan sequence, generating a state sequence using a learned model, and calculating the success probability of the plan sequence based on the state sequence.
- Acquisition of state information and plan sequence
- Generation of state sequence using a learned model
- Calculation of success probability of plan sequence
Potential Applications
This technology could be applied in various industries such as manufacturing, logistics, and autonomous systems where long-term planning and evaluation are crucial.
Problems Solved
This innovation addresses the challenge of evaluating plan sequences in complex systems while considering long-term implications, leading to more effective decision-making and risk assessment.
Benefits
The benefits of this technology include improved decision-making, enhanced risk assessment, and optimized long-term planning in dynamic environments.
Potential Commercial Applications
Potential commercial applications of this technology include supply chain management, autonomous vehicle navigation, and process optimization in manufacturing.
Possible Prior Art
One possible prior art could be traditional control plan evaluation methods that do not take into account long-term influences on the control target.
Unanswered Questions
How does this technique compare to existing methods for evaluating plan sequences in terms of accuracy and efficiency?
This article does not provide a direct comparison with existing methods for evaluating plan sequences. Further research or testing may be needed to determine the advantages of this technique over traditional approaches.
What are the limitations of the learned model used in generating the state sequence, and how do they impact the accuracy of the success probability calculation?
The article does not delve into the potential limitations of the learned model in generating the state sequence. Understanding these limitations is crucial in assessing the reliability of the success probability calculation.
Original Abstract Submitted
provided is a technique that makes it possible, as evaluation of a control plan with respect to a control target, to evaluate a plan sequence while taking into consideration long-term influence. an information processing apparatus includes: an acquisition section that acquires state information and a plan sequence, the state information indicating a state of at least one of a control target and an environment, and the plan sequence being a time series of control plans with respect to the control target; a generation section that generates a state sequence using output obtained by inputting the state information and the plan sequence into a learned model, the state sequence being a time series of pieces of state information each indicating a predicted future state; and a calculation section that calculates, using the state sequence, a success probability of the plan sequence which has been acquired by the acquisition section.
