An Integrated Threat Assessment Algorithm for Decision-Making of Autonomous Driving Vehicles,Can Xu , Wanzhong Zhao , and Chunyan Wang。文章采用了IMM模型进行pattern recognition; 然后对TTC(time to collision)和TH(time headway)进行了分析,对单车道模型和多车道模型进行了统一;最后采用MPC方法考虑概率风险,得...
ADePT (algorithm for decision-making after pilot and feasibility trials): a decision aid for progression from feasibility study to main trialbioimagingfluorene derivativestime‐resolved fluorescence spectroscopytwo‐photon absorptiontwo‐photon stimulated emission depletionBackground Complex intervention guidance ...
s life cycle. The model uses a neural network for remaining useful life predictions and the Bees Algorithm for decision making within a DT. The model is validated using a real case study. The findings support the idea that intelligent tools within a DT can enhance decision-making if they ...
Although the linear and nonlinear circuits ofDrosophilavision-based decision-making have achieved some biological evidence in4,6, it still has large space to improve the computational model ofDrosophilavision-based decision-making. Hui Wei et al. designed a SNN to simulateDrosophilasimple non-conflicti...
making processes. This is particularly true because algorithms lack the capacity for moral imagination (i.e., to be aware of contextual moral dilemmas and to create new solutions). Thus, HR managers’ reliance on algorithm-based decision-making may crowd-out employees’ personal integrity in ...
If this process can be improved, the advantages that it could offer would be so beneficial for medical doctors. For instance, some routine decision-making tasks require significant repetition, which takes time and increases costs. However, computerized medical information retrieval systems can ...
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This paper proposes an algorithm for obstacle avoidance of robot manipulator, which consists of a closed-loop control system, a dynamic repulsion field, and a decision-making force. This solution fulfills its advantages. The closed-loop control system can ensure the smoothness of the re-planed tr...
Algorithms are designed to learn user preferences by observing user behaviour. This causes algorithms to fail to reflect user preferences when psychological biases affect user decision making. For algorithms to enhance social welfare, algorithm design ne
Given a new, unseen input vector (data point) x, the process for predicting the corresponding target label can be explained by the traversal of a binary tree corresponding to a sequential decision-making process. An example of a model for classification is one that predicts a particular class ...