The Transformation Logics

The Transformation Logics

Alessandro Ronca

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Main Track. Pages 3549-3557. https://doi.org/10.24963/ijcai.2024/393

We introduce a new family of temporal logics designed to finely balance the trade-off between expressivity and complexity. Their key feature is the possibility of defining operators of a new kind that we call transformation operators. Some of them subsume existing temporal operators, while others are entirely novel. Of particular interest are transformation operators based on semigroups. They enable logics to harness the richness of semigroup theory, and we show them to yield logics capable of creating hierarchies of increasing expressivity and complexity which are non-trivial to characterise in existing logics. The result is a genuinely novel and yet unexplored landscape of temporal logics, each of them with the potential of matching the trade-off between expressivity and complexity required by specific applications.
Keywords:
Knowledge Representation and Reasoning: KRR: Knowledge representation languages
Knowledge Representation and Reasoning: KRR: Computational complexity of reasoning
Knowledge Representation and Reasoning: KRR: Qualitative, geometric, spatial, and temporal reasoning