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An ILASP-Based Approach to Repair Petri Nets 17th

An ILASP-Based Approach to Repair Petri Nets

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17th international conference on logic programming and non-monotonic reasoning

作者： Chiariello, Francesco Ielo, Antonio Tarzariol, Alice Univ Toulouse IRIT ANITI Toulouse France Univ Calabria Arcavacata Di Rende Italy Univ Klagenfurt Klagenfurt Austria

ISBN: (纸本)9783031742088;9783031742095

Petri nets are a class of models of computation used to compactly represent discrete event systems. Among many application domains, they have now become the most prominent formalism to express process models in Process Mining, thanks to their formal semantics that enables automated analysis techniques. In this context, model repair is the task of aligning a process model with actual executions of the process. Current solutions to model repair do not allow for embedding domain knowledge, providing guarantees of rigor, and enforcing structural requirements at the same time. In this paper, we fill this gap by proposing an approach based on the Inductive logic programming system ILASP. We then implement our approach and perform an experimental evaluation, showing both its expressiveness and feasibility.

关键词： Petri nets Process Mining Model Repair Answer Set programming Inductive logic programming

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Semantic-Based Arguments Using logic programming Rewriting Systems 17th

Semantic-Based Arguments Using Logic Programming Rewriting S...

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17th international conference on logic programming and non-monotonic reasoning

作者： Guerrero, Esteban Nieves, Juan Carlos Umea Univ Dept Comp Sci Umea Sweden

ISBN: (纸本)9783031742088;9783031742095

Traditionally, in the argumentation theory literature structured arguments are constructed from rules interpretations aiming to build well-supported deductive evidence. Different from other approaches, we emphasize the role of investigating general frameworks that can also provide a consistent and well-defined justification for a conclusion that cannot be inferred and there is certainty about it, which we call here NAF-arguments, which have been less explored in the formal argumentation theory, despite its potential use in practical applications for building nuanced well-structured explanations and justifications. this article introduces the so-called semantic argumentation guaranteeing well-known principles for quality in structured argumentation, and with the ability to generate two types of arguments, those where the conclusion atoms are semantically interpreted as true, and those where the conclusion is assumed to be false, we call them here semantic and NAF-arguments respectively. this framework is defined on the set of all logic programs in terms of rewriting systems based on a confluent set of transformation rules, the so-called Confluent logic programming Systems, making this approach a general framework. Additionally, we introduce a method for building such arguments using the program's strata through partial interpretations. We implement our framework named semantic argumentation solver available open source.

关键词： logic programming

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Consequence Operators of Characterization logics - the Case of Abstract Argumentation 17th

Consequence Operators of Characterization Logics - The Case ...

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17th international conference on logic programming and non-monotonic reasoning

作者： Baurnann, Ringo Strass, Hannes Univ Leipzig Leipzig Germany Ctr Scalable Data Analyt & Artificial Intelligenc Dresden Germany Tech Univ Dresden Dresden Germany

ISBN: (纸本)9783031742088;9783031742095

the analysis of properties of consequence operators has been a very active field in the formative years of non-monotonic reasoning. One possible approach to do this is to start with a model-theoretic semantics and then to study the logical consequence relation induced by that semantics. In this paper we follow that approach and analyse resulting consequence operators of so-called characterization logics. Roughly speaking, a characterization logic characterizes, via its own notion of ordinary equivalence, another logic's notion of strong equivalence. For example, the logic of here and there is a characterization logic for answer set programs, because strong equivalence of the latter is characterized by ordinary equivalence of the former. In previous work, we showed that the consideration of finite knowledge bases only - a common assumption in the field of knowledge representation - guarantees the existence (and uniqueness) of characterization logics. In this paper, we apply this existence result to the field of abstract argumentation. We show that the associated consequence operator outputs a so-called reverse kernel, a useful construct that received comparably little attention in the literature so far. As an aside, we clarify that for several well-known logics, their canonical characterization consequence operators are well-behaved.

关键词： Characterization logic Strong Equivalence Abstract Argumentation

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A Fixpoint Characterisation of Temporal Equilibrium logic 17th

A Fixpoint Characterisation of Temporal Equilibrium Logic

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17th international conference on logic programming and non-monotonic reasoning

作者： Cabalar, Pedro Dieguez, Martin Laferrriere, Francois Schaub, Torsten Stephan, Igor Univ A Coruna La Coruna Spain Univ Angers LERIA Angers France Univ Potsdam Potsdam Germany

ISBN: (纸本)9783031742088;9783031742095

Connections of intuitionistic and intermediate logics with logic programming have been extensively studied in the literature. Among the different results in the literature we find equilibrium logic (Pearce, 1996) and Safe beliefs (Osorio et al., 2005). Pearce's approach admits a characterisation in terms of a fixpoint (consequence) operator on the here-and-there intermediate logic (Heyting, 1930), which is similar to the notion of theory completion in default and autoepistemic logics. Osorio's safe beliefs are also given in terms of a fixpoint operator under intuitionistic logic semantics. In this latter case, intuitionistic logic can be replaced by any intermediate logic without altering the result. In this paper we consider temporal equilibrium logic, an combination of equilibrium logic and linear-time temporal logic. In this context we extend Pearce's and Osorio's approach to temporal case and we discuss the relation of intuitionistic temporal logic and temporal logic programming.

关键词： Computer circuits

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Compiling Metric Temporal Answer Set programming 17th

Compiling Metric Temporal Answer Set Programming

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17th international conference on logic programming and non-monotonic reasoning

作者： Becker, A. Cabalar, P. Dieguez, M. Hahn, S. Romero, J. Schaub, T. Univ A Coruna La Coruna Spain Univ Angers LERIA Angers France Univ Potsdam Potsdam Germany

ISBN: (纸本)9783031742088;9783031742095

We develop a computational approach to Metric Answer Set programming (ASP) to allow for expressing quantitative temporal constrains, like durations and deadlines. A central challenge is to maintain scalability when dealing with fine-grained timing constraints, which can significantly exacerbate ASP's grounding bottleneck. To address this issue, we leverage extensions of ASP with difference constraints, a simplified form of linear constraints, to handle time-related aspects externally. Our approach effectively decouples metric ASP from the granularity of time, resulting in a solution that is unaffected by time precision.

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Monitoring and Scheduling of Semiconductor Failure Analysis Labs 17th

Monitoring and Scheduling of Semiconductor Failure Analysis ...

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17th international conference on logic programming and non-monotonic reasoning

作者： Mastria, Elena Pagliaro, Domenico Calimeri, Francesco Perri, Simona Pleschberger, Martin Schekotihin, Konstantin KAI GmbH Villach Austria Univ Calabria Dept Math & Comp Sci Arcavacata Di Rende Italy Univ Klagenfurt Dept AI & Cybersecur Klagenfurt Austria

ISBN: (纸本)9783031742088;9783031742095

Finding non-conformities, such as physical failures causing electrical malfunctioning of a device, in modern semiconductor devices is challenging. Highly qualified employees in a failure analysis (FA) lab typically use sophisticated and expensive tools like scanning electron microscopes to identify and locate such non-conformities. Given the increasing complexity of investigated devices and very limited resources, labs may struggle to deliver analysis results in time. this paper proposes an approach to optimize the usage of FA lab resources by combining constraint programming with stream reasoning enabling situation-dependent monitoring of the lab's conditions and schedule maintenance. Evaluation results indicate that our system can significantly improve the tardiness of real-world FA labs, and all its computational tasks can be finished in an average time of 3.6 s, with a maximum of 15.2 s, which is acceptable for the lab's workflows.

关键词： Scheduling Monitoring Stream reasoning Constraint programming

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A Simulation for Supply Chains Contract Execution 17th

A Simulation for Supply Chains Contract Execution

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17th international conference on logic programming and non-monotonic reasoning

作者： Tran, Long Son, Tran Cao Flynn, Dylan Balduccini, Marcello New Mexico State Univ Las Cruces NM 88003 USA St Josephs Univ Philadelphia PA 19131 USA

ISBN: (纸本)9783031742088;9783031742095

Supply chains exhibit complex dynamics and intricate dependencies among their components, whose understanding is crucial for addressing the challenges highlighted by recent global disruptions. this paper presents a novel multi-agent system designed to simulate supply chains, linking reasoning about dynamic domains and multi-agent systems to reasoning about the high-level primitives of the NIST CPS Framework. Our approach synthesizes existing research on supply chain formalization and integrates these insights with multi-agent techniques, employing a declarative approach to model interactions and dependencies. the simulation framework models a set of autonomous agents within a partially observable environment, and whose interactions are dictated by contracts. the system dynamically reconciles agents' actions, assessing their feasibility and consequences. Based on the state of the domain, the simulation framework also draws conclusions about the high-level notions of requirements and concerns of the NIST CPS Framework, which provide a uniform and domain-agnostic vocabulary for the understanding of such complex systems as supply chains.

关键词： Answer Set programming Dynamic Domains Multi-Agent Systems MAS Simulation Contract Formalization Supply Chains

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Using Learning from Answer Sets for Robust Question Answering with LLM 17th

Using Learning from Answer Sets for Robust Question Answerin...

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17th international conference on logic programming and non-monotonic reasoning

作者： Kareem, Irfan Gallagher, Katie Borroto, Manuel Ricca, Francesco Russo, Alessandra Univ Calabria Dept Math & Comp Sci Cosenza Italy Univ Chicago Chicago IL 60637 USA Imperial Coll London Dept Comp London England

ISBN: (纸本)9783031742088;9783031742095

Large Language Models (LLMs) lack the ability for commonsense reasoning and learning from text. In this work, we present a system, called LLM2LAS, for learning commonsense knowledge from story-based question and answering expressed in natural language. LLM2LAS combines the semantic parsing capability of LLMs with ILASP for learning commonsense knowledge expressed as answer set programs. LLM2LAS requires only few examples of questions and answers to learn general commonsense knowledge and correctly answer unseen questions. An empirical evaluation demonstrates the viability of our approach.

关键词： logic-based Learning Knowledge Representation Question and Answering (Q&A)

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Towards Explainable Weather Forecasting through FastLAS 17th

Towards Explainable Weather Forecasting Through FastLAS

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17th international conference on logic programming and non-monotonic reasoning

作者： Dreossi, Talissa Dovier, Agostino Formisano, Andrea Law, Mark Manzato, Agostino Russo, Alessandra Tait, Matthew Univ Udine Udine Italy ILASP Ltd London England ARPA FVG OSMER Udine Italy Imperial Coll London London England

ISBN: (纸本)9783031742088;9783031742095

Weather forecasting is important for saving lives, protecting property, and supporting economic activities. It provides timely warnings for severe weather, improves agricultural planning, and aids in disaster management. Neural networks and deep learning methods can achieve impressive accuracy in weather prediction, but their black-box nature lacks in explainability. To address this limitation, we investigated the potential of FastLAS, an Inductive logic programming (ILP) framework, to produce reliable and, more important, explainable weather predictions. FastLAS learns ASP programs whose syntax and structural semantics resemble natural human language, making them easily understandable and interpretable by humans. the supportedness of stable models allows a clear explanation of the predictions. Our empirical evaluation on data from an Italian weather forecasting center shows that our approach is capable of learning predictive models from small dataset (a few samples instead of the thousands needed by neural networks) achieving an accuracy higher than statistical machine learning base lines.

关键词： ILP logic programming AI Explainability

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ASP-Based Large Neighborhood Prioritized Search for Course Timetabling 17th

ASP-Based Large Neighborhood Prioritized Search for Course T...

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17th international conference on logic programming and non-monotonic reasoning

作者： Sugimori, Irumi Inoue, Katsumi Nabeshima, Hidetomo Schaub, Torsten Soh, Takehide Tamura, Naoyuki Banbara, Mutsunori Nagoya Univ Nagoya Aichi Japan Natl Inst Informat Tokyo Japan Univ Yamanashi Kofu Yamanashi Japan Univ Potsdam Potsdam Germany Kobe Univ Kobe Hyogo Japan

ISBN: (纸本)9783031742088;9783031742095

We develop an approach to solve curriculum-based course timetabling (CB-CTT) problems with Large Neighborhood Prioritized Search (LNPS) based on Answer Set programming (ASP). LNPS is a metaheuristic that starts with an initial solution and then iteratively tries to obtain improved solutions by alternately destroying and prioritized searching for a current solution. Our approach relies on high-level domain-specific LNPS configurations for efficient CB-CTT solving, and both the grounding and solving tasks are delegated to a heuristically-driven answer set optimizer implementing the LNPS algorithm. the resulting system teaspoon-lnps demonstrates that LNPS can significantly enhance the solving performance of ASP for CB-CTT solving. Furthermore, we show the competitiveness of our declarative approach by empirically contrasting it to the best known bounds obtained by more dedicated algorithms.

关键词： Answer Set programming Large Neighborhood Prioritized Search Course Timetabling

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