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Anytime algorithms offer a tradeoff between solution quality and computation time that has proved useful in solving time-critical problems such as planning and scheduling, belief network evaluation, and information gathering.
However, the safety application message has positioning accuracy and time-critical problems.
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Moreover, the system includes a method for reducing the broadcast message to solve the time-critical problem in vehicular networks.
The proposed system uses previous work [14] which reduces the repeated and derivable information between the broadcast messages in order to solve the time-critical problem.
The task was related to the geo-location problem in which the participants were to find 10 red weather balloons that were at secret locations across the continental US The MIT's team solved a time-critical problem in the least time using an integration of social networking, the Internet, and some clever incentives to foment crowd collaboration.
We developed a novel solution to this real life time critical problem, which is a time-consuming and gain-optimized decision problem.
Given that general time-critical social search problems usually have unknown reward distribution and switching cost, we suggest adopting highly exploitative ϵ-greedy strategy and its variants.
Firstly, we propose a general form of the MAB model for handling the time-critical social search problem where multiple information sources are presenting possibly inaccurate information; secondly, we extended it to adapt to the context of DNC.
In this paper, we present a formal representation for modelling time-critical multiagent dynamic decision problems based on interactive dynamic influence diagrams (I-DIDs).
Solving this optimization problem numerically in a real vehicle is time-critical, so an analytical solution is introduced.
This work addresses the problem by presenting a language designed especially to simplify writing time-critical programs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com