Titlebook: Autonomy and Artificial Intelligence: A Threat or Savior?; W.F. Lawless,Ranjeev Mittu,Stephen Russell Book 2017 Springer International Pub

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Rustproof

alcoholism

Horizon

飛來飛去真休

Verification Challenges for Autonomous Systems,ification tools and their associated gaps, additional challenges for which there are no tools, and to make suggestions for directions in which progress may profitably be made. The chapter briefly touches on existing research to begin addressing these problems but there are more unexplored research c

障礙

Conceptualizing Overtrust in Robots: Why Do People Trust a Robot That Previously Failed?, the theme of this book where intelligent systems help humans recover from errors, our work so far has focused on robots as guides in emergency situations. Our experiments show that, at best, human participants in our simulated emergencies focus on guidance provided by robots, regardless of a robot’

夸張

Research Considerations and Tools for Evaluating Human-Automation Interaction with Future Unmanned ry control paradigm not only requires improvements in automation capability and reliability, but also an understanding of the human performance issues associated with concurrent management of several automated systems. Research in this area has generally focused on topics such as trust, reliability,

inclusive

使害羞

How Children with Autism and Machines Learn to Interact,explore team formation because it is rather simple compared to the reasoning of controls and software systems on one hand, and allows exploration of human behavior in real-world environment on the other hand. We discover that reasoning about mental world, impaired in various degrees in autistic pati

慟哭

Semantic Vector Spaces for Broadening Consideration of Consequences,dify their plans to avoid them (e.g., avoiding potential errors). However, hand-encoding the enormous and subtle body of facts that constitutes common sense into a knowledge base has proved too difficult despite decades of work. Distributed semantic vector spaces learned from large text corpora, on