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McKenna Frank P.; Horswill Mark S.; Alexander Jane L. 《Canadian Metallurgical Quarterly》2006,12(1):1
Skill and risk taking are argued to be independent and to require different remedial programs. However, it is possible to contend that skill-based training could be associated with an increase, a decrease, or no change in risk-taking behavior. In 3 experiments, the authors examined the influence of a skill-based training program (hazard perception) on the risk-taking behavior of car drivers (using video-based driving simulations). Experiment 1 demonstrated a decrease in risk taking for novice drivers. In Experiment 2, the authors examined the possibilities that the skills training might operate through either a nonspecific reduction in risk taking or a specific improvement in hazard perception. Evidence supported the latter. These findings were replicated in a more ecological context in Experiment 3, which compared advanced and nonadvanced police drivers. (PsycINFO Database Record (c) 2010 APA, all rights reserved) 相似文献
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Participants' usage of informational variables in learning visual relative-mass discrimination in collisions was tracked by means of PROBIT correlations. Four groups received feedback that was true or accorded with either of three nonspecificational cue variables. A majority in each group adopted the feedback, but several participants defied the false feedback. Unlike in previous research, the fit to data of the relative-mass invariant could not be bettered by post hoc linear combinations of the cues. Discriminability was lower in the use of the invariant. Analytic complexity was rejected as an explanation for discriminability differences. A "smart mechanism" for pickup of the relative-mass invariant was developed as an extension of G. Johansson's (1950/1994) vector model. (PsycINFO Database Record (c) 2010 APA, all rights reserved) 相似文献
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Human can handle a deformable object and damp its vibration with recognized skill. However, for an industrial robot, handling a deformable object with acute vibration is often a difficult task. This paper addresses the problem of active damping skill for handling deformable linear objects (DLOs) by using a strategy inspired from human manipulation skills. The strategy is illustrated by several rules, which are explained by a fuzzy and a P controller. A proportional-integral-derivative (PID) controller is also employed to explain the rules as a comparison. The interpretations from controllers are translated into high level commands in a robotic language V+. A standard industrial robot with a force/torque sensor mounted on the wrist was employed to demonstrate the skill. Experimental results showed the fuzzy based damping skill is quite effective and stable even without any previous acknowledge of the deformable linear objects.Category (5) 相似文献
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浅谈我国土建施工企业技术创新体制的建设 总被引:1,自引:1,他引:0
分析了我国土建施工企业的现状,研究了加入WTO后我国土建行业面临的形势,详细阐述了加强技术创新、主动应对竞争与挑战的措施,总结了土建施工企业技术创新的特点及发展方向。 相似文献
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Scientific research projects aim to produce new knowledge generally in domains of high specialization.Some of these projects have goals of improving the performance of companies.In this case,the issues of the capitalization and transfer of scientific knowledge and its rapid transformation into professional skills are directly addressed.However,there is no method to derive e-learning teaching material from project results.So,this paper presents the e-LITE Method and its application to the ISTA3 project to support the process of developing a e-learning training.This application has allowed us to highlight the contributions of the method that promotes better knowledge sharing between partners of a research project and the development and transfer of research results to the professional world.So,after the presentation of the method,an application to the ISTA3 project will be presented. 相似文献
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现有的内在奖励随着agent不断探索环境而逐渐消失,导致了agent无法利用内在奖励信号去指引agent寻找最优策略。为了解决这个问题,提出了一种基于内在奖励的技能获取和组合方法。该方法首先在agent与环境交互过程中寻找积极状态,在积极状态中筛选子目标;其次从初始状态到达子目标,子目标到达终止状态所产生的一条轨迹中发现技能,对技能中出现一个或者两个以上的子目标进行组合;最后用初始状态到子目标的距离和初始状态到子目标的累积奖励值对技能进行评估。该方法在Mujoco环境中取得了较高的平均奖励值,尤其是在外在奖励延迟的情况下,也能取得较好的平均奖励值。说明该方法提出的子目标和技能可以有效地解决内在奖励消失后,agent无法利用内在奖励信号学习最优策略的问题。 相似文献
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