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Related papers: Interactive Problem Solving in Prolog

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The integration of experimental technologies with large language models (LLMs) is transforming scientific research. It positions AI as a versatile research assistant rather than a mere problem-solving tool. In the field of power systems,…

Computation and Language · Computer Science 2025-05-20 Mengshuo Jia , Zeyu Cui , Gabriela Hug

New technologies, such as MOOCs, provide innovative methods to tackle new challenges in teaching and learning, such as globalization and changing contemporary culture and to remove the limits of conventional classrooms. However, they also…

Computers and Society · Computer Science 2016-10-25 S. H. Song , Marco Antonelli , Tony Fung , Brandon D. Armstrong , Amy Chong , Albert Lo , Bertram E. Shi

In this paper we present a simple source code configuration tool. ExLibris operates on libraries and can be used to extract from local libraries all code relevant to a particular project. Our approach is not designed to address problems…

Software Engineering · Computer Science 2007-05-23 Nicos Angelopoulos

Modern Vision-Language Models (VLMs) remain poorly characterized in multi-step visual interactions, particularly in how they integrate perception, memory, and action over long horizons. We introduce VisGym, a gymnasium of 17 environments…

Computer Vision and Pattern Recognition · Computer Science 2026-01-26 Zirui Wang , Junyi Zhang , Jiaxin Ge , Long Lian , Letian Fu , Lisa Dunlap , Ken Goldberg , XuDong Wang , Ion Stoica , David M. Chan , Sewon Min , Joseph E. Gonzalez

We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning by means of neural predicates. We show how existing inference and learning techniques can be adapted for the new language. Our experiments…

Artificial Intelligence · Computer Science 2018-12-13 Robin Manhaeve , Sebastijan Dumančić , Angelika Kimmig , Thomas Demeester , Luc De Raedt

In this paper we describe the design and implementation of the Prolog interface to the Unstructured Information Management Architecture (UIMA) and some of its applications in natural language processing. The UIMA Prolog interface translates…

Software Engineering · Computer Science 2008-09-04 Paul Fodor , Adam Lally , David Ferrucci

The programming language Prolog makes declarative programming possible, at least to a substantial extent. Programs may be written and reasoned about in terms of their declarative semantics. All the advantages of declarative programming are…

Logic in Computer Science · Computer Science 2023-08-31 Włodzimierz Drabent

Visual Simultaneous Localization and Mapping (VSLAM) research faces significant challenges due to fragmented toolchains, complex system configurations, and inconsistent evaluation methodologies. To address these issues, we present…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Alejandro Fontan , Tobias Fischer , Javier Civera , Michael Milford

Hard optimisation problems such as Boolean Satisfiability typically have long solving times and can usually be solved by many algorithms, although the performance can vary widely in practice. Research has shown that no single algorithm…

Machine Learning · Computer Science 2019-09-10 Riccardo Volpato , Guangyan Song

Online reinforcement learning in complex tasks is time-consuming, as massive interaction steps are needed to learn the optimal Q-function.Vision-language action (VLA) policies represent a promising direction for solving diverse tasks;…

Machine Learning · Computer Science 2025-09-26 Xiefeng Wu , Jing Zhao , Shu Zhang , Mingyu Hu

Virtual Learning Environments (VLEs) are spaces designed to educate students remotely via online platforms. Although traditional VLEs such as iSocial have shown promise in educating students, they offer limited immersion that diminishes…

Human-Computer Interaction · Computer Science 2017-07-25 Chiara Zizza , Adam Starr , Devin Hudson , Sai Shreya Nuguri , Prasad Calyam , Zhihai He

Virtual Laboratories (V Labs) have in the recent past become part and parcel of remote teaching in practical hands-on approaches, particularly in Cybersecurity distance courses. Their potential is meant to assist learners with hands-on…

Computers and Society · Computer Science 2024-04-09 Victor R. Kebande

By simply composing prompts, developers can prototype novel generative applications with Large Language Models (LLMs). To refine prototypes into products, however, developers must iteratively revise prompts by evaluating outputs to diagnose…

Human-Computer Interaction · Computer Science 2024-02-28 Tae Soo Kim , Yoonjoo Lee , Jamin Shin , Young-Ho Kim , Juho Kim

Vision-Language-Action (VLA) policies are typically evaluated as if the user had finished typing or speaking before the robot begins acting. In real deployment, however, users take several seconds to enter a request, leaving the policy idle…

Robotics · Computer Science 2026-05-13 Joonha Park , Jiseung Jeong , Taesik Gong

We present a new approach to termination analysis of numerical computations in logic programs. Traditional approaches fail to analyse them due to non well-foundedness of the integers. We present a technique that allows overcoming these…

Programming Languages · Computer Science 2007-05-23 Alexander Serebrenik , Danny De Schreye

In this paper we present ProSLAM, a lightweight stereo visual SLAM system designed with simplicity in mind. Our work stems from the experience gathered by the authors while teaching SLAM to students and aims at providing a highly modular…

Robotics · Computer Science 2018-09-19 Dominik Schlegel , Mirco Colosi , Giorgio Grisetti

Adding interaction to logic programming is an essential task. Expressive logics such as linear logic provide a theoretical basis for such a mechanism. Unfortunately, none of the existing linear logic languages can model interactions with…

Logic in Computer Science · Computer Science 2015-07-19 Keehang Kwon

Solving Inductive Logic Programming (ILP) problems with neural networks is a key challenge in Neural-Symbolic Ar- tificial Intelligence (AI). While most research has focused on designing novel network architectures for individual prob-…

Artificial Intelligence · Computer Science 2025-11-18 Bowen He , Xiaoan Xu , Alper Kamil Bozkurt , Vahid Tarokh , Juncheng Dong

Visualization tools for supervised learning have allowed users to interpret, introspect, and gain intuition for the successes and failures of their models. While reinforcement learning practitioners ask many of the same questions, existing…

Machine Learning · Computer Science 2020-07-14 Shuby Deshpande , Jeff Schneider

Consider the problem setting of Interaction-Grounded Learning (IGL), in which a learner's goal is to optimally interact with the environment with no explicit reward to ground its policies. The agent observes a context vector, takes an…

Machine Learning · Computer Science 2022-10-13 Tengyang Xie , Akanksha Saran , Dylan J. Foster , Lekan Molu , Ida Momennejad , Nan Jiang , Paul Mineiro , John Langford