It research how representations in these logics behave in the dynamic location, and introduces operators for reducing a query right after steps to an First point out, or updating the illustration against These actions.
Weighted design counting typically assumes that weights are only specified on literals, typically necessitating the need to introduce auxillary variables. We contemplate a brand new method according to psuedo-Boolean capabilities, bringing about a more common definition. Empirically, we also get SOTA results.
The Lab carries out study in synthetic intelligence, by unifying Finding out and logic, using a recent emphasis on explainability
He has produced a occupation outside of carrying out exploration around the science and know-how of AI. He has published close to one hundred twenty peer-reviewed articles, gained finest paper awards, and consulted with banking companies on explainability. As PI and CoI, he has secured a grant earnings of near to 8 million kilos.
An report on the preparing and inference workshop at AAAI-18 compares two distinctive ways for probabilistic organizing by way of probabilistic programming.
I gave a chat on our new NeurIPS paper in Glasgow although also covering other techniques with the intersection of logic, Understanding and tractability. Thanks to Oana for that invitation.
The problem we tackle is how the learning must be described when there is missing or incomplete info, resulting in an account dependant on imprecise probabilities. Preprint right here.
The post introduces a basic logical framework for reasoning about discrete and continual probabilistic products in dynamical domains.
A current collaboration with the NatWest Team on explainable machine Discovering is talked about within the Scotsman. Connection to report here. A preprint on the effects will likely be built offered shortly.
Jonathan’s paper considers a lifted approached to weighted product integration, which includes circuit development. Paulius’ paper develops a evaluate-theoretic perspective on weighted design counting and proposes a method to encode conditional weights on literals analogously to conditional probabilities, which results in significant functionality advancements.
Paulius' work on algorithmic strategies for randomly building logic programs and https://vaishakbelle.com/ probabilistic logic courses has been recognized to your rules and practise of constraint programming (CP2020).
The framework is applicable to a large class of formalisms, including probabilistic relational types. The paper also research the synthesis challenge in that context. Preprint right here.
If you are attending AAAI this year, you could be interested in looking at our papers that touch on fairness, abstraction and generalized sum-merchandise challenges.
Our paper on synthesizing designs with loops in the presence of probabilistic sounds, recognized the journal of approximate reasoning, has also been recognized into the ICAPS journal observe. Preprint to the complete paper below.