Description
The rapid increase in the volume and complexity of data lead to accelerated Artificial Intelligence (AI) applications, primarily as intelligent machines, in everyday life. Providing explanations is considered an imperative ability for an AI agent in a human-robot teaming framework, which provides the rationale behind an AI agent's decision-making.
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Contributors
- Zakershahrak, Mehrdad (Author)
- Cooke, Nancy NC (Thesis advisor)
- Zhang, Yu YZ (Thesis advisor)
- Ben Amor, Hani HB (Committee member)
- Srivastava, Siddharth SS (Committee member)
- Hsiao, Sharon SH (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2021
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Note
- Partial requirement for: Ph.D., Arizona State University, 2021
- Field of study: Computer Science