Titlebook: Explainable Human-AI Interaction; A Planning Perspecti Sarath Sreedharan,Anagha Kulkarni,Subbarao Kambham Book 2022 Springer Nature Switzer

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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

Intercept

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

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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

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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

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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

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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

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