This paper argues that delegation of lethal decisions to autonomous weapon systems opens an unacceptable responsibility gap, which cannot be effectively countered unless we enforce a preemptive ban on lethal autonomou...This paper argues that delegation of lethal decisions to autonomous weapon systems opens an unacceptable responsibility gap, which cannot be effectively countered unless we enforce a preemptive ban on lethal autonomous weapon systems （LAWS）. Initially, the promises and perils of artificial intelligence are brought forward in pointing out （1） that it remains an open question whether moral decision making, understood as situated ethical judgement, is computationally tractable, and （2） that the kind of artificial intelligence, which would be required to cause ethical reasoning, would imply a system capable of operating as an independent reasoner in novel contexts （sec. 2）. In continuation thereof, issues of responsibility are discussed （sec. 3 and 3.1） and it is claimed that unacceptable responsibility gaps may occur since unpredictability would presumably follow full system autonomy. These circumstances call for a strong precautionary principle, in the form of a preemptive ban.展开更多
A new intelligent anti-swing control scheme,which combined fuzzy neural network(FNN) and sliding mode control(SMC) with particle swarm optimization(PSO),was presented for bridge crane.The outputs of three fuzzy neural...A new intelligent anti-swing control scheme,which combined fuzzy neural network(FNN) and sliding mode control(SMC) with particle swarm optimization(PSO),was presented for bridge crane.The outputs of three fuzzy neural networks were used to approach the uncertainties of the positioning subsystem,lifting-rope subsystem and anti-swing subsystem.Then,the parameters of the controller were optimized with PSO to enable the system to have good dynamic performances.During the process of high-speed load hoisting and dropping,this method can not only realize the accurate position of the trolley and eliminate the sway of the load in spite of existing uncertainties,and the maximum swing angle is only ±0.1 rad,but also completely eliminate the chattering of conventional sliding mode control and improve the robustness of system.The simulation results show the correctness and validity of this method.展开更多
文摘This paper argues that delegation of lethal decisions to autonomous weapon systems opens an unacceptable responsibility gap, which cannot be effectively countered unless we enforce a preemptive ban on lethal autonomous weapon systems （LAWS）. Initially, the promises and perils of artificial intelligence are brought forward in pointing out （1） that it remains an open question whether moral decision making, understood as situated ethical judgement, is computationally tractable, and （2） that the kind of artificial intelligence, which would be required to cause ethical reasoning, would imply a system capable of operating as an independent reasoner in novel contexts （sec. 2）. In continuation thereof, issues of responsibility are discussed （sec. 3 and 3.1） and it is claimed that unacceptable responsibility gaps may occur since unpredictability would presumably follow full system autonomy. These circumstances call for a strong precautionary principle, in the form of a preemptive ban.
基金Project(51075289) supported by the National Natural Science Foundation of ChinaProject(20122014) supported by the Doctor Foundation of Taiyuan University of Science and Technology,China
文摘A new intelligent anti-swing control scheme,which combined fuzzy neural network(FNN) and sliding mode control(SMC) with particle swarm optimization(PSO),was presented for bridge crane.The outputs of three fuzzy neural networks were used to approach the uncertainties of the positioning subsystem,lifting-rope subsystem and anti-swing subsystem.Then,the parameters of the controller were optimized with PSO to enable the system to have good dynamic performances.During the process of high-speed load hoisting and dropping,this method can not only realize the accurate position of the trolley and eliminate the sway of the load in spite of existing uncertainties,and the maximum swing angle is only ±0.1 rad,but also completely eliminate the chattering of conventional sliding mode control and improve the robustness of system.The simulation results show the correctness and validity of this method.
