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The detailed behaviour of a system is often represented as a labelled transition system (LTS) and the abstract behaviour as a stuttering-insensitive semantic congruence. Numerous congruences have been presented in the literature. On the…

Logic in Computer Science · Computer Science 2015-07-01 Antti Valmari

We present a formal translation of an actor-based language with cooperative scheduling to the functional language Haskell. The translation is proven correct with respect to a formal semantics of the source language and a high-level…

Programming Languages · Computer Science 2016-08-11 Elvira Albert , Nikolaos Bezirgiannis , Frank de Boer , Enrique Martin-Martin

We study a multivariate Hawkes process as a model for time-continuous relational event networks. The model does not assume the network to be known, it includes covariates, and it allows for both common drivers, parameters common to all the…

Statistics Theory · Mathematics 2025-04-08 Alexander Kreiss , Enno Mammen , Wolfgang Polonik

The PGAS model is well suited for executing irregular applications on cluster-based systems, due to its efficient support for short, one-sided messages. However, there are currently two major limitations faced by PGAS applications. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-22 Sri Raj Paul , Akihiro Hayashi , Kun Chen , Vivek Sarkar

The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. While the tuning of track reconstruction algorithms can depend strongly on…

We introduce and investigate a powerful hyper logical framework in the linear-time setting, we call generalized HyperLTL with stuttering and contexts (GHyperLTL_SC for short). GHyperLTL_SC unifies known asynchronous extensions of HyperLTL…

Logic in Computer Science · Computer Science 2024-10-03 Alberto Bombardelli , Laura Bozzelli , César Sánchez , Stefano Tonetta

We propose an explainable reinforcement learning (XRL) framework that analyzes an agent's history of interaction with the environment to extract interestingness elements that help explain its behavior. The framework relies on data readily…

Machine Learning · Computer Science 2020-08-20 Pedro Sequeira , Melinda Gervasio

That the Haskell Compiler GHC is capable of proving non-trivial equalities between Haskell code, by virtue of its aggressive optimizer, in particular the term rewriting engine in the simplifier. We demonstrate this with a surprising little…

Programming Languages · Computer Science 2018-05-22 Joachim Breitner

We introduce a subclass of concurrent game structures (CGS) with imperfect information in which agents are endowed with private data-sharing capabilities. Importantly, our CGSs are such that it is still decidable to model-check these CGSs…

Logic in Computer Science · Computer Science 2022-04-20 Francesco Belardinelli , Ioana Boureanu , Catalin Dima , Vadim Malvone

ActorScript(TM) is a general purpose programming language for implementing discretionary, adaptive concurrency that manages resources and demand. It is differentiated from previous languages by the following: - Universality *** Ability to…

Programming Languages · Computer Science 2015-03-26 Carl Hewitt

Benchmarking is crucial for testing and validating any system, even more so in real-time systems. Typical real-time applications adhere to well-understood abstractions: they exhibit a periodic behavior, operate on a well-defined working…

Software Engineering · Computer Science 2022-08-02 Mattia Nicolella , Shahin Roozkhosh , Denis Hoornaert , Andrea Bastoni , Renato Mancuso

Energy-aware architectures provide applications with a mix of low (LITTLE) and high (big) frequency cores. Choosing the best hardware configuration for a program running on such an architecture is difficult, because program parts benefit…

Programming Languages · Computer Science 2019-03-19 Marcelo Novaes , Vinícius Petrucci , Abdoulaye Gamatié , Fernando Quintão

Time-series representation learning is a fundamental task for time-series analysis. While significant progress has been made to achieve accurate representations for downstream applications, the learned representations often lack…

Machine Learning · Computer Science 2021-05-24 Yuening Li , Zhengzhang Chen , Daochen Zha , Mengnan Du , Denghui Zhang , Haifeng Chen , Xia Hu

Graph transformation systems (GTS) and constraint handling rules (CHR) are non-deterministic rule-based state transition systems. CHR is well-known for its powerful confluence and program equivalence analyses, for which we provide the basis…

Logic in Computer Science · Computer Science 2010-06-16 Frank Raiser , Thom Frühwirth

Particle dynamics and multi-agent systems provide accurate dynamical models for studying and forecasting the behavior of complex interacting systems. They often take the form of a high-dimensional system of differential equations…

Machine Learning · Computer Science 2023-08-09 Yuxuan Liu , Scott G. McCalla , Hayden Schaeffer

Due to their complex nonlinear dynamics and batch-to-batch variability, batch processes pose a challenge for process control. Due to the absence of accurate models and resulting plant-model mismatch, these problems become harder to address…

Machine Learning · Computer Science 2022-05-03 Tanuja Joshi , Hariprasad Kodamana , Harikumar Kandath , Niket Kaisare

Type classes are one of Haskell's most popular features and extend its type system with ad-hoc polymorphism. Since their conception, there were useful features that could not be offered because of the desire to offer two correctness…

Programming Languages · Computer Science 2018-07-31 Thomas Winant , Dominique Devriese

As the Moore's scaling era comes to an end, application specific hardware accelerators appear as an attractive way to improve the performance and power efficiency of our computing systems. A massively heterogeneous system with a large…

Operating Systems · Computer Science 2019-07-02 Kartik Hegde , Abhishek Srivastava , Rohit Agrawal

Existing models for the analysis of concurrent processes tend to focus on fail-stop failures, where processes are either working or permanently stopped, and their state (working/stopped) is known. In fact, systems are often affected by grey…

Formal Languages and Automata Theory · Computer Science 2024-02-14 Laura Bocchi , Julien Lange , Simon Thompson , A. Laura Voinea

The dominant paradigm for building LLM based agents is the Agent Loop, an iterative cycle where a single language model decides what to do next by reading an ever growing context window. This paradigm has three structural weaknesses:…

Artificial Intelligence · Computer Science 2026-04-14 Hu Wei