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Foundations of Human-Aware Planning -- A Tale of Three Models

Abstract A critical challenge in the design of AI systems that operate with humans in the loop is to be able to model the intentions and capabilities of the humans, as well as their beliefs and expectations of the AI system itself. This allows the AI system to be "human- aware" -- i.e. the human task model enables it to envisage desired roles of the human in joint action, while the human mental model allows it to anticipate how its own actions are perceived from the point of view of the human. In my research, I explore how these concepts of human-awareness manifest themselves in the scope of planning or sequential decision making with humans in the loop. To this end, I will show (1) how the AI agent can leverage the human task model to gen... (more)
Created Date 2018
Contributor Chakraborti, Tathagata (Author) / Kambhampati, Subbarao (Advisor) / Talamadupula, Kartik (Committee member) / Scheutz, Matthias (Committee member) / Ben Amor, Hani (Committee member) / Zhang, Yu (Committee member) / Arizona State University (Publisher)
Subject Artificial intelligence / Robotics / Artificial Intelligence / Automated Planning / Explainable AI / Human-Aware AI / Human-Aware Planning
Type Doctoral Dissertation
Extent 562 pages
Language English
Note Doctoral Dissertation Computer Science 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis