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Recent advances in visual representation learning allowed to build an abundance of powerful off-the-shelf features that are ready-to-use for numerous downstream tasks. This work aims to assess how well these features preserve information…

Computer Vision and Pattern Recognition · Computer Science 2022-12-21 Monika Wysoczańska , Tom Monnier , Tomasz Trzciński , David Picard

Logic languages based on the theory of rational, possibly infinite, trees have much appeal in that rational trees allow for faster unification (due to the safe omission of the occurs-check) and increased expressivity (cyclic terms can…

Programming Languages · Computer Science 2007-05-23 Roberto Bagnara , Roberta Gori , Patricia M. Hill , Enea Zaffanella

Uncertainty in logic programming has been widely investigated in the last decades, leading to multiple extensions of the classical LP paradigm. However, few of these are designed as extensions of the well-established and powerful CLP scheme…

Logic in Computer Science · Computer Science 2010-09-13 Rafael Caballero , Mario Rodríguez-Artalejo , Carlos A. Romero-Díaz

We introduce a generalized logic programming paradigm where programs, consisting of facts and rules with the usual syntax, can be enriched by co-facts, which syntactically resemble facts but have a special meaning. As in coinductive logic…

Programming Languages · Computer Science 2017-09-26 Davide Ancona , Francesco Dagnino , Elena Zucca

In the paper a new programming construct, called concept, is introduced. Concept is pair of two classes: a reference class and an object class. Instances of the reference classes are passed-by-value and are intended to represent objects.…

Programming Languages · Computer Science 2008-01-03 Alexandr Savinov

This paper presents a logic language for expressing NP search and optimization problems. Specifically, first a language obtained by extending (positive) Datalog with intuitive and efficient constructs (namely, stratified negation,…

Logic in Computer Science · Computer Science 2009-11-17 Sergio Greco , Cristian Molinaro , Irina Trubitsyna , Ester Zumpano

Object-Oriented programming is frequently challenging for undergraduate Computer Science students, particularly in understanding abstract concepts such as encapsulation, inheritance, and polymorphism. Although the literature outlines…

Software Engineering · Computer Science 2025-07-24 Andre Menolli , Bruno Strik

Advances in networks, accelerators, and cloud services encourage programmers to reconsider where to compute -- such as when fast networks make it cost-effective to compute on remote accelerators despite added latency. Workflow and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-31 J. Gregory Pauloski , Valerie Hayot-Sasson , Logan Ward , Nathaniel Hudson , Charlie Sabino , Matt Baughman , Kyle Chard , Ian Foster

This paper is about a new way for programming distributed applications: the service-oriented one. It is a concept paper based upon our experience in developing a theory and a language for programming services. Both the theoretical…

Programming Languages · Computer Science 2009-06-23 Claudio Guidi , Fabrizio Montesi

A key feature of inductive logic programming (ILP) is its ability to learn first-order programs, which are intrinsically more expressive than propositional programs. In this paper, we introduce techniques to learn higher-order programs.…

Machine Learning · Computer Science 2019-07-26 Andrew Cropper , Rolf Morel , Stephen H. Muggleton

We provide a semantic framework for preference handling in answer set programming. To this end, we introduce preference preserving consequence operators. The resulting fixpoint characterizations provide us with a uniform semantic framework…

Artificial Intelligence · Computer Science 2007-05-23 Torsten Schaub , Kewen Wang

This paper develops a declarative language, P-log, that combines logical and probabilistic arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while causal Bayes nets serve as a probabilistic foundation. We give…

Artificial Intelligence · Computer Science 2008-12-04 Chitta Baral , Michael Gelfond , Nelson Rushton

Continual Learning (CL) enables machine learning models to learn from continuously shifting new training data in absence of data from old tasks. Recently, pretrained vision transformers combined with prompt tuning have shown promise for…

Computer Vision and Pattern Recognition · Computer Science 2024-04-01 Anurag Roy , Riddhiman Moulick , Vinay K. Verma , Saptarshi Ghosh , Abir Das

Object permanence is the concept that objects do not suddenly disappear in the physical world. Humans understand this concept at young ages and know that another person is still there, even though it is temporarily occluded. Neural networks…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Michael Fürst , Priyash Bhugra , René Schuster , Didier Stricker

e use Prolog as a flexible meta-language to provide executable specifications of some fundamental mathematical objects and their transformations. In the process, isomorphisms are unraveled between natural numbers and combinatorial objects…

Programming Languages · Computer Science 2011-12-19 Paul Tarau

Workflow and serverless frameworks have empowered new approaches to distributed application design by abstracting compute resources. However, their typically limited or one-size-fits-all support for advanced data flow patterns leaves…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-03 J. Gregory Pauloski , Valerie Hayot-Sasson , Logan Ward , Alexander Brace , André Bauer , Kyle Chard , Ian Foster

In this paper, we propose a robot oriented knowledge management system based on the use of the Prolog language. Our framework hinges on a special organisation of knowledge base that enables: 1. its efficient population from natural language…

Robotics · Computer Science 2023-09-27 Enrico Saccon , Ahmet Tikna , Davide De Martini , Edoardo Lamon , Marco Roveri , Luigi Palopoli

Concolic testing mixes symbolic and concrete execution to generate test cases covering paths effectively. Its benefits have been demonstrated for more than 15 years to test imperative programs. Other programming paradigms, like logic…

Logic in Computer Science · Computer Science 2020-02-18 Sophie Fortz , Fred Mesnard , Etienne Payet , Gilles Perrouin , Wim Vanhoof , German Vidal

This paper shows the debugging facilities provided by the SLAM system. The SLAM system includes i) a specification language that integrates algebraic specifications and model-based specifications using the object oriented model. Class…

Programming Languages · Computer Science 2007-05-23 Angel Herrranz-Nieva Juan Jose Moreno Navarro

Over the last decade, the use of robots in production and daily life has increased. With increasingly complex tasks and interaction in different environments including humans, robots are required a higher level of autonomy for efficient…

Robotics · Computer Science 2023-01-19 Daniele Meli , Hirenkumar Nakawala , Paolo Fiorini