作者: Feature 時間: 2025-3-21 22:01 作者: 小平面 時間: 2025-3-22 04:08 作者: 抵消 時間: 2025-3-22 06:19
The Characteristics of Incestuous Fathersrn anywhere without running into mentions of AI technology and hype about its expected positive and negative societal impacts. AI has been compared to fire . electricity, and commercial interest in the AI technologies has sky rocketed. Universities—even high schools—are rushing to start new degree p作者: Audiometry 時間: 2025-3-22 09:28
https://doi.org/10.1007/978-3-030-23645-8will use, including the definitions of deterministic goal-directed planning problems, incomplete planning models, sensor models, etc. With the basic notations in place, we will then focus on establishing the three main interpretability measures in human-aware planning; namely, . We will revisit two 作者: 百科全書 時間: 2025-3-22 15:00
Dmitry N. Zotkin,Ramani Duraiswamis chapter, we will take a closer look at explicability and discuss some practical methods to facilitate explicable planning. This would include discussion on both planning algorithms specifically designed for generating explicable behavior and how one could design/update the task to make the generat作者: 百科全書 時間: 2025-3-22 18:41 作者: 集中營 時間: 2025-3-22 22:15 作者: 自作多情 時間: 2025-3-23 02:31 作者: Optic-Disk 時間: 2025-3-23 08:01
Selection of Stabilisation Design,del of the robot. We have been quantifying some of the interaction between the behavior and human’s model in terms of three interpretability scores, each of which corresponds to some desirable property one would expect the robot behavior to satisfy under cooperative scenarios. With these measures de作者: 完成 時間: 2025-3-23 11:51 作者: aquatic 時間: 2025-3-23 15:08
Yair Ziv Ph.D.,Moti Benita Ph.D.,Inbar Sofrits. So far in this book, we have looked at how the robot can be interpretable to the human in the loop while it is interacting with her either through its behavior or through explicit communication. However, in the real world not all of the robot’s interactions may be of purely cooperative nature. T作者: VAN 時間: 2025-3-23 19:56 作者: Vo2-Max 時間: 2025-3-24 02:15
Peer Relations in Early and Middle Childhoodhat a human would find explainable or deceptive. Human-aware AI or HAAI techniques are characterized by the acknowledgment that for automated agents to successfully interact with humans, they need to explicitly take into account the human’s expectations about the agent. In particular, we look at how作者: STALL 時間: 2025-3-24 05:24 作者: 修剪過的樹籬 時間: 2025-3-24 09:31 作者: 悄悄移動 時間: 2025-3-24 13:50 作者: maintenance 時間: 2025-3-24 16:04
The Characteristics of Incestuous Fathersrograms or colleges dedicated to AI. Civil society organizations are scrambling to understand the impact of AI technology on humanity, and governments are competing to encourage or regulate AI research and deployment.作者: achlorhydria 時間: 2025-3-24 20:39 作者: Density 時間: 2025-3-25 01:13
Introduction,rograms or colleges dedicated to AI. Civil society organizations are scrambling to understand the impact of AI technology on humanity, and governments are competing to encourage or regulate AI research and deployment.作者: harpsichord 時間: 2025-3-25 04:28
Applications,ome up with decisions for a specific task and another system designed for helping users specify a declarative model of task (specifically in the context of dialogue planning for an enterprise chat agent).作者: BRACE 時間: 2025-3-25 09:40 作者: ABOUT 時間: 2025-3-25 11:55
https://doi.org/10.1007/978-3-030-23645-8otations in place, we will then focus on establishing the three main interpretability measures in human-aware planning; namely, . We will revisit two of these measures (i.e., explicability and legibility) and discuss methods to boost these measures throughout the later chapters.作者: Landlocked 時間: 2025-3-25 16:54 作者: Obsessed 時間: 2025-3-25 21:48 作者: 暫停,間歇 時間: 2025-3-26 01:27 作者: emulsify 時間: 2025-3-26 04:21
Introduction,rn anywhere without running into mentions of AI technology and hype about its expected positive and negative societal impacts. AI has been compared to fire . electricity, and commercial interest in the AI technologies has sky rocketed. Universities—even high schools—are rushing to start new degree p作者: Chandelier 時間: 2025-3-26 10:52
Measures of Interpretability,will use, including the definitions of deterministic goal-directed planning problems, incomplete planning models, sensor models, etc. With the basic notations in place, we will then focus on establishing the three main interpretability measures in human-aware planning; namely, . We will revisit two 作者: FIN 時間: 2025-3-26 15:02
Explicable Behavior Generation,s chapter, we will take a closer look at explicability and discuss some practical methods to facilitate explicable planning. This would include discussion on both planning algorithms specifically designed for generating explicable behavior and how one could design/update the task to make the generat作者: Carcinogenesis 時間: 2025-3-26 18:41
Legible Behavior,implicitly communicate information about its goals, plans (or model, in general) to a human observer. For instance, consider a human robot cohabitation scenario consisting of a multi-tasking robot with varied capabilities that is capable of performing a multitude of tasks in an environment. In such 作者: MAPLE 時間: 2025-3-26 22:14
Explanation as Model Reconciliation,xplanations. Rather than force the robot to choose behaviors that are inherently explicable in the human model, here we will let the robot choose a behavior optimal in its model and use communication to address the central reason why the human is confused about the behavior in the first place, i.e.,作者: maintenance 時間: 2025-3-27 04:03
Acquiring Mental Models for Explanations, strong assumptions. Particularly, the setting assumes that the human’s model of the robot is known exactly upfront. In this chapter, we will look at how we can relax this assumption and see how we can perform model reconciliation in scenarios where the robot has progressively less information about作者: 可能性 時間: 2025-3-27 06:49
Balancing Communication and Behavior,del of the robot. We have been quantifying some of the interaction between the behavior and human’s model in terms of three interpretability scores, each of which corresponds to some desirable property one would expect the robot behavior to satisfy under cooperative scenarios. With these measures de作者: ineluctable 時間: 2025-3-27 10:25
Explaining in the Presence of Vocabulary Mismatch,. This suggests that the human and the robot share a common vocabulary that can be used to describe the model. However, this cannot be guaranteed unless the robots are using models that are specified by an expert. Since many of the modern AI systems rely on learned models, they may use representatio作者: 落葉劑 時間: 2025-3-27 14:47 作者: PET-scan 時間: 2025-3-27 19:20
Applications,in this chapter will explicitly model the human’s mental model of the task and among other things use it to generate explanations. In particular, we will look at two broad application domains. One where the systems are designed for collaborative decision-making, i.e., systems designed to help user c作者: 為現(xiàn)場 時間: 2025-3-28 00:04 作者: WAIL 時間: 2025-3-28 02:25
1939-4608 ons when needed. The authors draw from several years of research in their lab to discuss how an AI agent can use these mental models to either conform to human 978-3-031-03757-3978-3-031-03767-2Series ISSN 1939-4608 Series E-ISSN 1939-4616 作者: Aids209 時間: 2025-3-28 07:01
https://doi.org/10.1007/978-0-387-30441-0nication of objectives might not always be suitable. For instance, the . and . of explicit communication may require additional thought. Further, several other aspects like cost of communication (in terms of resources or time), delay in communication (communications signals may take time to reach th作者: Tidious 時間: 2025-3-28 12:00
An Overview of Stochastic Approximation, plan is only limited by the agent’s ability to effectively explain it. In this chapter, in addition to introducing the basic framework of explanation as model reconciliation under a certain set of assumptions, we will also look at several types of model reconciliation explanations, study some of th作者: Spinous-Process 時間: 2025-3-28 15:51
Graham T. Dempsey,Wenqin Wang,Xiaowei Zhuangman has a simpler mental model, specifically one that is an abstraction of the original model and also see how this method can help reduce inferential burden on the human. Throughout this chapter, we will focus on generating MCE though most of the methods discussed here could also be extended to MME作者: Intercept 時間: 2025-3-28 21:17
Selection of Stabilisation Design, behaviors that are unique. In this chapter, we will start by focusing on how one can combine explicable and explanation generation and will look at a compilation based method to generate such plans. In general, communication is a strategy we can use for the other two measures as well. As such, we w作者: 易怒 時間: 2025-3-28 22:54
The Role of 5G and IoT in Smart Cities,uch concepts that are sufficient to provide explanations. We will also discuss how one could measure the probability of the generated model fragments being true (especially when the learned classifiers may be noisy) and also how to identify cases where the user specified concepts may be insufficient作者: aspect 時間: 2025-3-29 03:20
Peer Relations in Early and Middle Childhoodere to or influence the human expectations, it needs to take into account this model. Additionally, this book also introduces three classes of interpretability measures, which capture certain desirable properties of robot behavior. Specifically, we introduce the measures . and 作者: Grandstand 時間: 2025-3-29 10:42
Legible Behavior,nication of objectives might not always be suitable. For instance, the . and . of explicit communication may require additional thought. Further, several other aspects like cost of communication (in terms of resources or time), delay in communication (communications signals may take time to reach th作者: admission 時間: 2025-3-29 14:50
Explanation as Model Reconciliation, plan is only limited by the agent’s ability to effectively explain it. In this chapter, in addition to introducing the basic framework of explanation as model reconciliation under a certain set of assumptions, we will also look at several types of model reconciliation explanations, study some of th作者: ARENA 時間: 2025-3-29 17:26 作者: Stricture 時間: 2025-3-29 20:54 作者: Electrolysis 時間: 2025-3-30 01:36
