Suchergebnisse - Computing methodologies, Knowledge representation and reasoning
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Exploiting learning and scenario-based specification languages for the verification and validation of highly automated driving
ISBN: 1450357393, 9781450357395Veröffentlicht: New York, NY, USA ACM 28.05.2018Veröffentlicht in 2018 IEEE ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS) (28.05.2018)“… We propose a series of methods based on learning key structural properties from traffic data-basis and on statistical model checking, ultimately leading to the …”
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Perspective Multi-Player Games
Veröffentlicht: IEEE 29.06.2021Veröffentlicht in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (29.06.2021)“… Perspective games model multi-agent systems in which agents can view only the parts of the system that they own. Unlike the observation-based model of partial …”
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Symbolic Verification of Fuzzy Logic Models
ISSN: 2643-1572Veröffentlicht: IEEE 11.09.2023Veröffentlicht in IEEE/ACM International Conference on Automated Software Engineering : [proceedings] (11.09.2023)“… Fuzzy logic is widely applied in various applications. However, verifying the correctness of fuzzy logic models can be difficult. This extended abstract …”
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Translation Titans, Reasoning Challenges: Satisfiability-Aided Language Models for Detecting Conflicting Requirements
ISSN: 2643-1572Veröffentlicht: ACM 27.10.2024Veröffentlicht in IEEE/ACM International Conference on Automated Software Engineering : [proceedings] (27.10.2024)“… While Large Language Models (LLMs) have demonstrated proficiency in natural language understanding tasks, they often struggle with the nuanced reasoning required for identifying complex requirement conflicts …”
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Living without Beth and Craig: Definitions and Interpolants in the Guarded and Two-Variable Fragments
Veröffentlicht: IEEE 29.06.2021Veröffentlicht in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (29.06.2021)“… In logics with the Craig interpolation property (CIP) the existence of an interpolant for an implication follows from the validity of the implication. In …”
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Studying Programmers Without Programming: Investigating Expertise Using Resting State fMRI
ISSN: 1558-1225Veröffentlicht: IEEE 26.04.2025Veröffentlicht in Proceedings / International Conference on Software Engineering (26.04.2025)“… Expert programmers are more effective at coding activities, but the reasons for this remain elusive. Accordingly, recent research has used neuroimaging such as …”
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Asynchronous Extensions of HyperLTL
Veröffentlicht: IEEE 29.06.2021Veröffentlicht in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (29.06.2021)“… Hyperproperties are a modern specification paradigm that extends trace properties to express properties of sets of traces. Temporal logics for hyperproperties …”
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GlitchProber: Advancing Effective Detection and Mitigation of Glitch Tokens in Large Language Models
ISSN: 2643-1572Veröffentlicht: ACM 27.10.2024Veröffentlicht in IEEE/ACM International Conference on Automated Software Engineering : [proceedings] (27.10.2024)“… Large language models (LLMs) have achieved unprecedented success in the field of natural language processing. However, the black-box nature of their internal …”
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Learning from Physical Human Corrections, One Feature at a Time
ISBN: 9781450349536, 1450349536ISSN: 2167-2148Veröffentlicht: New York, NY, USA ACM 26.02.2018Veröffentlicht in 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (26.02.2018)“… We focus on learning robot objective functions from human guidance: specifically, from physical corrections provided by the person while the robot is acting …”
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Expressivity of Quantitative Modal Logics : Categorical Foundations via Codensity and Approximation
Veröffentlicht: IEEE 29.06.2021Veröffentlicht in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (29.06.2021)“… A modal logic that is strong enough to fully characterize the behavior of a system is called expressive. Recently, with the growing diversity of systems to be …”
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Consistent Graph Model Generation with Large Language Models
ISSN: 2574-1934Veröffentlicht: IEEE 27.04.2025Veröffentlicht in Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) (27.04.2025)“… Graph model generation from natural language requirements is an essential task in software engineering, for which large language models (LLMs) have become …”
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SAT-Verifiable LTL Satisfiability Checking via Graph Representation Learning
ISSN: 2643-1572Veröffentlicht: IEEE 11.09.2023Veröffentlicht in IEEE/ACM International Conference on Automated Software Engineering : [proceedings] (11.09.2023)“… verifies the satisfiability result. The core contribution is a new graph representation for LTL formulae - one-step unfolded graph (OSUG) to incorporate the syntax and semantic features of LTL. Preliminary results show that our approach is superior to the state-of-the-art neural approaches on synthetic datasets and confirms the effectiveness of OSUG …”
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Lightning Talk: The New Era of Computational Cognitive Intelligence
Veröffentlicht: IEEE 09.07.2023Veröffentlicht in 2023 60th ACM/IEEE Design Automation Conference (DAC) (09.07.2023)“… ), and the environment (e.g., context) renders ineffective the classical computational/algorithmic/numerical computing paradigm in dealing with the inherent runtime dynamism and uncertainty faced by emerging systems …”
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Relating Reading, Visualization, and Coding for New Programmers: A Neuroimaging Study
ISBN: 1665402962, 9781665402965ISSN: 1558-1225Veröffentlicht: IEEE 01.05.2021Veröffentlicht in Proceedings / International Conference on Software Engineering (01.05.2021)“… Understanding how novices reason about coding at a neurological level has implications for training the next generation of software engineers. In recent years, …”
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Lightning Talk: Bridging Neuro-Dynamics and Cognition
Veröffentlicht: IEEE 09.07.2023Veröffentlicht in 2023 60th ACM/IEEE Design Automation Conference (DAC) (09.07.2023)“… Brain-inspired computing models have shown great potential to outperform today's deep learning solutions in terms of robustness and energy efficiency …”
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Alignment Completeness for Relational Hoare Logics
Veröffentlicht: IEEE 29.06.2021Veröffentlicht in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (29.06.2021)“… Relational Hoare logics (RHL) provide rules for reasoning about relations between programs …”
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Constrained LTL Specification Learning from Examples
ISSN: 1558-1225Veröffentlicht: IEEE 26.04.2025Veröffentlicht in Proceedings / International Conference on Software Engineering (26.04.2025)“… Temporal logic specifications play an important role in a wide range of software analysis tasks, such as model checking, automated synthesis, program …”
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Lacon- and Shrub-Decompositions: A New Characterization of First-Order Transductions of Bounded Expansion Classes
Veröffentlicht: IEEE 29.06.2021Veröffentlicht in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (29.06.2021)“… The concept of bounded expansion provides a robust way to capture sparse graph classes with interesting algorithmic properties. Most notably, every problem …”
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On Automated Assistants for Software Development: The Role of LLMs
ISSN: 2643-1572Veröffentlicht: IEEE 11.09.2023Veröffentlicht in IEEE/ACM International Conference on Automated Software Engineering : [proceedings] (11.09.2023)“… Software developers handle many complex tasks that include gathering and applying domain knowledge, coordinating subtasks, designing interfaces, turning ideas into elegant code …”
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Compositional relational reasoning via operational game semantics
Veröffentlicht: IEEE 29.06.2021Veröffentlicht in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (29.06.2021)“… We show how to use operational game semantics as a guide to develop relational techniques for establishing contextual equivalences with respect to contexts …”
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