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Explainable goal-driven agents and robots-a comprehensive review
Recent applications of autonomous agents and robots have brought attention to crucial trust-
related challenges associated with the current generation of artificial intelligence (AI) …
related challenges associated with the current generation of artificial intelligence (AI) …
Explanations for human-on-the-loop: A probabilistic model checking approach
Many self-adaptive systems benefit from human involvement and oversight, where a human
operator can provide expertise not available to the system and can detect problems that the …
operator can provide expertise not available to the system and can detect problems that the …
Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions
Virtual advisors (VAs) are being utilised almost in every service nowadays from
entertainment to healthcare. To increase the user's trust in these VAs and encourage the …
entertainment to healthcare. To increase the user's trust in these VAs and encourage the …
Evaluating explanations by cognitive value
The transparent AI initiative has ignited several academic and industrial endeavors and
produced some impressive technologies and results thus far. Many state-of-the-art methods …
produced some impressive technologies and results thus far. Many state-of-the-art methods …
Play for Real (ism)-using games to predict human-AI interactions in the real world
AI-enabled decision support systems have repeatedly failed in real world applications
despite the underlying model operating as designed. Often this was because the system …
despite the underlying model operating as designed. Often this was because the system …
Modeling and analysis of explanation for secure industrial control systems
Many self-adaptive systems benefit from human involvement and oversight, where a human
operator can provide expertise not available to the system and detect problems that the …
operator can provide expertise not available to the system and detect problems that the …
[PDF][PDF] Learning from exploration: Towards an explainable goal reasoning agent
Complex, real-world environments may not be fully modeled for an agent, especially if the
agent has never operated in the environment before. The agent's ability to effectively plan …
agent has never operated in the environment before. The agent's ability to effectively plan …
Towards a transparent deep ensemble method based on multiagent argumentation
Ensemble methods improve the machine learning results by combining different models.
However, one of the major drawbacks of these approaches is their opacity, as they do not …
However, one of the major drawbacks of these approaches is their opacity, as they do not …
Geração de explicações contrastivas para seleção de objetivos em agentes BDI
HMR Jasinski - 2022 - repositorio.utfpr.edu.br
Conforme o uso de sistemas baseados em agentes tem crescido, cada vez mais o público
geral tem acesso a eles e é influenciado pelas decisões tomadas por tais sistemas. Isto …
geral tem acesso a eles e é influenciado pelas decisões tomadas por tais sistemas. Isto …
[PDF][PDF] Explainable Goal-driven Agents and Robots-A Comprehensive
One of the goals of human-robot partnership is to establish teams of humans and robots that
efectively make use of the individual capabilities of each team member [121]. Robots are …
efectively make use of the individual capabilities of each team member [121]. Robots are …