Designs for explaining intelligent agents
By Steven R. Haynes, Mark A. Cohen, Frank E. Ritter. 2009
75 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems and Management
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Niloofar Zarei
- Longo Luca
- Giulia Vilone
- Eric D. Ragan
- Sina Mohseni
- John-Jules Charles Meyer
- Jo Vermeulen
- Joost Broekens
In Information Systems and Management
- Longo Luca
- Giulia Vilone
- Niloofar Zarei
- Eric D. Ragan
- Sina Mohseni
- Ashraf Abdul
- Danding Wang
- Jo Vermeulen
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…Sreedharan, Zhang, and Kambhampati, 2017; Dodge t al., 2018; Fox et al., 2017; Frank, McGuire, Moses, and Stephenson, 2016; Hayes and Shaw, 2017; Haynes, Cohen, and Ritter, 2008; Jain, Zamir, Savarese, and Saxena, 2016; Johnson, 1994; Kim, Chacha, and Shah, 2013; Lane, Core, Van Lent, Solomon,…”
- Explainable Agents and Robots: Results from a Systematic Literature Review (2019, background): “Studies in the literature underlined the importance of considering the intended purpose when incorporating explanation facilities into intelligent systems [45].”
- Formalizing Explanatory Dialogues (2015, background): “The design of explanation facilities for intelligent systems is an active research area and a widely recognized problem [3,15,12,16] in Artificial Intelligence.”
- Explainable Artificial Intelligence: a Systematic Review (2020, background): “Another classification of the types of explanations was proposed in [109] for intelligent systems which include intelligent agents, such as those AI assistants utilised in customer support chats, or other support decision systems like those for medical diagnoses.”
- The role of emotion in self-explanations by cognitive agents (2017, background): “This is especially important for cognitive agents since these are designed to operate semi-autonomously, and often operate in consequential domains like medicine, or military operations [16].”
- A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems (2018, background): “In another work, Haynes et al. [74] provide a review and studies incorporating different explanations (operational, ontological, mechanistic, and design rationale explanations) in intelligent systems.”
- Design and Evaluation of Explainable BDI Agents (2010, background): “Haynes et al provide general designs for explaining intelligent agents [10].”
- Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda (2018, background): “Hence, research on explainable systems focused on Intelligent Systems [68] and Intelligent Agents [62, 80] to help with decision making or task management.”