Revising event calculus theories to recover from unexpected observations
From MaRDI portal
Publication:2029718
DOI10.1007/s10472-019-09663-5OpenAlexW2968651552WikidataQ127391611 ScholiaQ127391611MaRDI QIDQ2029718
Dimitris Plexousakis, Giorgos Flouris, Nikoleta Tsampanaki, Theodore Patkos
Publication date: 4 June 2021
Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10472-019-09663-5
Logic in artificial intelligence (68T27) Logics of knowledge and belief (including belief change) (03B42) Logic in computer science (03B70)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Minimal change: relevance and recovery revisited
- A logic-based calculus of events
- Iterated belief change in the situation calculus
- Stable models and circumscription
- Incremental learning of event definitions with inductive logic programming
- Knowledge, action, and the frame problem
- On the logic of iterated belief revision
- Belief revision and projection in the epistemic situation calculus
- Conflict-driven answer set solving: from theory to practice
- Foundations for a probabilistic event calculus
- Reformulating the Situation Calculus and the Event Calculus in the General Theory of Stable Models and in Answer Set Programming
- Answer Set Programming’s Contributions to Classical Logic
- On the logic of theory change: Partial meet contraction and revision functions
- A probabilistic logic programming event calculus
- Online learning of event definitions
- Formalizing sensing actions -- a transition function based approach