Yoàv Montacute

National Institute of Informatics
  •  14
    Dynamic Tangled Derivative Logic of Metric Spaces
    Proceedings of the AAAI Conference on Artificial Intelligence 38 (9): 10509-10516. 2024.
    Dynamical systems are abstract models of interaction between space and time. They are often used in fields such as physics and engineering to understand complex processes, but due to their general nature, they have found applications for studying computational processes, interaction in multi-agent systems, machine learning algorithms and other computer science related phenomena. In the vast majority of applications, a dynamical system consists of the action of a continuous `transition function' …Read more
  •  11
    Untangled: A Complete Dynamic Topological Logic
    Proceedings of the AAAI Conference on Artificial Intelligence 37 (5). 2023.
    Dynamical systems are general models of change or movement over time with a broad area of applicability to many branches of science, including computer science and AI. Dynamic topological logic (DTL) is a formal framework for symbolic reasoning about dynamical systems. DTL can express various liveness and reachability conditions on such systems, but has the drawback that the only known axiomatisation requires an extended language. In this paper, we consider dynamic topological logic restricted t…Read more
  •  5
    Dynamic Cantor Derivative Logic
    Logical Methods in Computer Science (LMCS) 19 (4). 2023.
    Topological semantics for modal logic based on the Cantor derivative operator gives rise to derivative logics, also referred to as d-logics. Unlike logics based on the topological closure operator, d-logics have not previously been studied in the framework of dynamical systems, which are pairs (X,f) consisting of a topological space X equipped with a continuous function f:X->X. We introduce the logics wK4C, K4C and GLC and show that they all have the finite Kripke model property and are sound an…Read more