Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a projection algorithm for incremental control rule synthesis. The algorithm synthesizes an initial set of goal-achieving control rules using a combination of situation probability and estimated remaining work as a search heuristic. This set of control rules has a certain probability of satisfying the given goal. The probability is incrementally increased by synthesizing additional control rules to handle "error" situations the execution system is likely to encounter when following the initial control rules. By using situation probabilities the algorithm achieves a computationally effective balance beten the limited robustness of triangle tables and the absolute robustness of universal plans.
['Mark Drummond', 'John L. Bresina']
I am writing a research paper on a idea Anytime synthetic projection: maximizing the probability of goal satisfaction
[{"from": "human", "value": "I am writing a research paper on a idea Anytime synthetic projection: maximizing the probability of goal satisfaction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a projection algorithm for incremental control rule synthesis. The algorithm synthesizes an initial set of goal-achieving control rules using a combination of situation probability and estimated remaining work as a search heuristic. This set of control rules has a certain probability of satisfying the given goal. The probability is incrementally increased by synthesizing additional control rules to handle \"error\" situations the execution system is likely to encounter when following the initial control rules. By using situation probabilities the algorithm achieves a computationally effective balance beten the limited robustness of triangle tables and the absolute robustness of universal plans."}]