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Synchronization, in which individual dynamical units keep in pace with each other in a decentralized fashion, depends both on the dynamical units and on the properties of the interaction network. Yet, the role played by the network has…

Disordered Systems and Neural Networks · Physics 2010-06-15 Takashi Nishikawa , Adilson E. Motter

We present an overview of some recent efforts aimed at the development of Choreographic Programming, a programming paradigm for the production of concurrent software that is guaranteed to be correct by construction from global descriptions…

Programming Languages · Computer Science 2015-02-11 Fabrizio Montesi

To enable data-driven decision-making across organizations, data professionals need to share insights with their colleagues in context-appropriate communication channels. Many of their colleagues rely on data but are not themselves…

Human-Computer Interaction · Computer Science 2024-10-15 Hyeok Kim , Arjun Srinivasan , Matthew Brehmer

In a Human-Computer Interaction context, we aim to elaborate an adaptive and generic interaction model in two different use cases: Embodied Conversational Agents and Creative Musical Agents for musical improvisation. To reach this goal,…

Human-Computer Interaction · Computer Science 2015-06-19 Kevin Sanlaville , Gérard Assayag , Frédéric Bevilacqua , Catherine Pelachaud

Modern hardware platforms, from the very small to the very large, increasingly provide parallel and distributed computing resources for applications to maximise performance. Many applications therefore need to make effective use of tens,…

Programming Languages · Computer Science 2019-04-02 Francisco Martins , Dominic Orchard

Event correlation reasoning infers whether a natural language paragraph containing multiple events conforms to human common sense. For example, "Andrew was very drowsy, so he took a long nap, and now he is very alert" is sound and…

Computation and Language · Computer Science 2021-10-14 Yucheng Zhou , Xiubo Geng , Tao Shen , Guodong Long , Daxin Jiang

Extracting temporal relations (e.g., before, after, and simultaneous) among events is crucial to natural language understanding. One of the key challenges of this problem is that when the events of interest are far away in text, the context…

Computation and Language · Computer Science 2022-10-26 Shuaicheng Zhang , Lifu Huang , Qiang Ning

What processes can explain how very large populations are able to converge on the use of a particular word or grammatical construction without global coordination? Answering this question helps to understand why new language constructs…

Physics and Society · Physics 2007-05-23 A. Baronchelli , M. Felici , E. Caglioti , V. Loreto , L. Steels

The proliferation of sensing and monitoring applications motivates adoption of the event stream model of computation. Though sliding windows are widely used to facilitate effective event stream processing, it is greatly challenged when the…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-11-15 Yiling Yang , Yu Huang , Jiannong Cao , Xiaoxing Ma , Jian Lu

Syntax is fundamental to our thinking about language. Failing to capture the structure of input language could lead to generalization problems and over-parametrization. In the present work, we propose a new syntax-aware language model:…

Computation and Language · Computer Science 2021-05-12 Yikang Shen , Shawn Tan , Alessandro Sordoni , Siva Reddy , Aaron Courville

We introduce Simulation Streams, a programming paradigm designed to efficiently control and leverage Large Language Models (LLMs) for complex, dynamic simulations and agentic workflows. Our primary goal is to create a minimally interfering…

Artificial Intelligence · Computer Science 2025-02-03 Peter Sunehag , Joel Z. Leibo

Session-types specify communication protocols for communicating processes, and session-typed languages are often specified using substructural operational semantics given by multiset rewriting systems. We give an observed communication…

Programming Languages · Computer Science 2020-09-01 Ryan Kavanagh

In this work, we propose a framework that creates a lively virtual dynamic scene with contextual motions of multiple humans. Generating multi-human contextual motion requires holistic reasoning over dynamic relationships among human-human…

Computer Vision and Pattern Recognition · Computer Science 2025-07-28 Donggeun Lim , Jinseok Bae , Inwoo Hwang , Seungmin Lee , Hwanhee Lee , Young Min Kim

When a processing unit relies on data from external streams, we may face the problem that the stream data needs to be rearranged in a way that allows the unit to perform its task(s). On arrival of new data, we must decide whether there is…

Logic in Computer Science · Computer Science 2016-11-18 Stefan Ellmauthaler , Jörg Pührer

In service-oriented architecture, services coordinate in one of two ways: directly, using point-to-point communication, or indirectly, through an intermediary called the orchestrator. Orchestrators tend to be more popular because their…

Programming Languages · Computer Science 2026-03-24 Viktor Strate Kløvedal , Dan Plyukhin , Marco Peressotti , Fabrizio Montesi

In this paper, we present Synergy, a language model that bridges different levels of abstraction in an end-to-end fashion through a learned routing mechanism. Focusing on low-level linguistic abstraction, we trained our model as a…

Computation and Language · Computer Science 2025-07-18 Keli Zheng , Zerong Xie

We envisage future context-aware applications will dynamically adapt their behaviors to various context data from sources in wide-area networks, such as the Internet. Facing the changing context and the sheer number of context sources, a…

Databases · Computer Science 2020-03-10 Wenwei Xue , Hungkeng Pung , Wenlong Ng , Tao Gu

Choreographies are formal descriptions of distributed systems, which focus on the way in which participants communicate. While they are useful for analysing protocols, in practice systems are written directly by specifying each…

Programming Languages · Computer Science 2022-07-20 Bjørn Angel Kjær , Luís Cruz-Filipe , Fabrizio Montesi

Large Language Model agents face fundamental challenges in adapting to novel tasks due to limitations in tool availability and experience reuse. Existing approaches either rely on predefined tools with limited coverage or build tools from…

Computation and Language · Computer Science 2025-12-15 Jiarun Liu , Shiyue Xu , Yang Li , Shangkun Liu , Yongli Yu , Peng Cao

An epistemic model for decentralized discrete-event systems with non-binary control is presented. This framework combines existing work on conditional control decisions with existing work on formal reasoning about knowledge in…

Artificial Intelligence · Computer Science 2023-01-27 K. Ritsuka , Karen Rudie
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