Titlebook: Explainable and Transparent AI and Multi-Agent Systems; 5th International Wo Davide Calvaresi,Amro Najjar,Kary Fr?mling Conference proceedi

Hiatus

柳樹；枯黃

Mining and?Validating Belief-Based Agent Explanations system execution, which describes action execution events and external events (represented as beliefs). We present an empirical evaluation, which suggests that our approach to mining and validating belief-based explanations can be practical.

Latency

Evaluating a?Mechanism for?Explaining BDI Agent Behaviourticularly likely to be preferred by the study participants, whereas those explanations that include links are least likely to be preferred. We also found evidence that single-factor explanations, as used in some previous work, are too short.

BOLT

Dialogue Explanations for Rule-Based AI Systems rule-based AI systems is presented, allowing the system to explain its decisions by engaging in “Why?” and “Why not?” questions and answers. We establish formal properties of this framework and present a small user study with encouraging results that compares dialogue-based explanations with proof trees produced by the AI System.

stressors

反抗者

hematuria

insipid

synovium

歌唱隊