12 citations · 22 across the 7 of their papers we have counts for
8 papers
Evolution of diverse (and advanced) cognitive abilities through adaptive fine-tuning of learning and chunking mechanisms
Arnon Lotem, Joseph Y. Halpern
The evolution of cognition is frequently discussed as the evolution of cognitive abilities or the evolution of some neuronal structures in the brain. However, since such traits or…
A Knowledge-Based Analysis of Intersection Protocols
Kaya Alpturer, Joseph Y. Halpern, Ron van der Meyden
The increasing wireless communication capabilities of vehicles creates opportunities for more efficient intersection management strategies. One promising approach is the replacemen…
Intervention and Conditioning in Causal Bayesian Networks
Sainyam Galhotra, Joseph Y. Halpern
Causal models are crucial for understanding complex systems and identifying causal relationships among variables. Even though causal models are extremely popular, conditional proba…
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
David "davidad" Dalrymple, Joar Skalse, Yoshua Bengio +14
Ensuring that AI systems reliably and robustly avoid harmful or dangerous behaviours is a crucial challenge, especially for AI systems with a high degree of autonomy and general in…
Mathematical Explanations
Joseph Y. Halpern
A definition of what counts as an explanation of mathematical statement, and when one explanation is better than another, is given. Since all mathematical facts must be true in all…
Explaining Image Classifiers
Hana Chockler, Joseph Y. Halpern
We focus on explaining image classifiers, taking the work of Mothilal et al. [2021] (MMTS) as our point of departure. We observe that, although MMTS claim to be using the definitio…