Glossary

Dynamic Epistemic Logic (Del) is a logical system analyzing how knowledge shifts among agents as events unfold, highlighting dynamic information changes.

Eager Learning is an AI technique where an exhaustive model is built during the upfront training phase, ensuring quick responses during prediction since no computations are performed post-training. This learning strategy allows us to gain a broad, general understanding of the data set’s features and their correlations. It utilizes the target function ideally on the entire training dataset. This approach to machine learning promotes a thorough grasp of underlying patterns, making eager learning a pivotal aspect of proficient AI systems.

The Ebert Test, proposed by critic Roger Ebert, determines if a synthesized voice can convincingly tell a joke, challenging developers to mimic human vocal nuances.

An Echo State Network refers to a unique type of recurrent neural network known for its sparsely connected hidden ‘reservoir’. Neuron connectivity and weights are fixed and randomized in ESNs.

Edge AI is essentially the fusion of AI and edge computing, enabling faster data processing and decision-making by performing AI computations at the source of data collection instead of remote data centers.

Effective Accelerationism (E/Acc) is a revolutionary philosophy emphasizing the fast-paced growth of AI technologies, with the belief that this acceleration can spur substantial societal improvements.