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检索条件"任意字段=15th International Conference on Logic for Programming Artificial Intelligence and Reasoning"

共 1550 条记录，以下是41-50 订阅

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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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reasoning and Explanation Generation in Ad Hoc Collaboration Between Humans and Embodied AI 17th

Reasoning and Explanation Generation in Ad Hoc Collaboration...

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

作者： Dodampegama, Hasra Sridharan, Mohan Univ Edinburgh Sch Informat Inst Percept Act & Behav Edinburgh Midlothian Scotland

ISBN: (纸本)9783031742088;9783031742095

An assistive embodied AI agent often has to collaborate with previously unseen humans. State of the art frameworks for such ad hoc teamwork use a large labeled dataset of prior observations to model the behavior of other agents and to determine the ad hoc (i.e., embodied AI) agent's behavior. these approaches do not support rapid incremental revisions or transparency, and the necessary resources (e.g., training examples, computation) are not readily available in practical domains. Our previous work introduced an architecture that enabled an ad hoc agent to choose its actions in simple simulated domains based on non-monotonic logical reasoning with prior domain knowledge and models learned from limited examples to predict the behavior of other agents. Here, we extend this architecture to enable an ad hoc embodied AI agent to collaborate with a human performing household tasks in a complex indoor environment, focusing on the ad hoc agent's ability to identify and reason with relevant knowledge, and provide relational descriptions as explanations of its behavior and that of the human. We evaluate our architecture's capabilities in VirtualHome, a realistic 3D simulation environment.

关键词： Ad hoc teamwork Non-monotonic logical reasoning Ecological rationality Explanation generation Embodied AI

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Integrating MiniZinc with ASP Chef: Browser-Based Constraint programming for Education and Prototyping 17th

Integrating MiniZinc with ASP Chef: Browser-Based Constraint...

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

作者： Alviano, Mario Reiners, Luis Angel Rodriguez Univ Calabria DEMACS Via Bucci 30-B I-87036 Arcavacata Di Rende CS Italy

ISBN: (纸本)9783031742088;9783031742095

In this paper, we present the integration of MiniZinc into ASP Chef, expanding its capabilities to include constraint programming alongside Answer Set programming (ASP). By leveraging the web assembly version of MiniZinc, this integration allows for running MiniZinc models directly in the browser, eliminating the need for additional software installations. this browser-based approach is particularly advantageous for educational settings and rapid prototyping, offering a seamless and accessible environment for learners and practitioners. To facilitate the incorporation of MiniZinc in ASP recipes, we have implemented a mapping mechanism that converts facts to MiniZinc data and vice versa. this integration not only broadens the scope of problems that can be addressed using ASP Chef but also simplifies the workflow for users, making it a versatile tool for complex computational tasks.

关键词： Answer Set programming Constraint programming system description

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Bridging Deep Learning and logic programming for Explainability through ILP 40

Bridging Deep Learning and Logic Programming for Explainabil...

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40th international conference on logic programming, ICLP 2024

作者： Dreossi, Talissa University of Udine Udine Italy

My research explores integrating deep learning and logic programming to set the basis for a new generation of AI systems. By combining neural networks with Inductive logic programming (ILP), the goal is to construct systems that make accurate predictions and generate comprehensible rules to validate these predictions. Deep learning models process and analyze complex data, while ILP techniques derive logical rules to prove the network's conclusions. Explainable AI methods, like eXplainable Answer Set programming (XASP), elucidate the reasoning behind these rules and decisions. the focus is on applying ILP frameworks, specifically ILASP and FastLAS, to enhance explainability in various domains. My test cases span weather prediction, the legal field, and image recognition. In weather forecasting, the system will predict events and provides explanations using FastLAS, with plans to integrate recurrent neural networks in the future. In the legal domain, the research focuses on interpreting vague decisions and assisting legal professionals by encoding Italian legal articles and learning reasoning patterns from Court of Cassation decisions using ILASP. For biological laboratories, we will collaborate with a research group to automate spermatozoa morphology classification for Bull Breeding Soundness Evaluation using YOLO networks and ILP to explain classification outcomes. this hybrid approach aims to bridge the gap between the high performance of deep learning models and the transparency of symbolic reasoning, advancing AI by providing interpretable and trustworthy applications. © 2025 Open Publishing Association. All rights reserved.

关键词： Weather forecasting

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Integrating Structured Declarative Language (SDL) into ASP Chef 17th

Integrating Structured Declarative Language (SDL) into ASP C...

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

作者： Alviano, Mario Guarasci, Paola Reiners, Luis Angel Rodriguez Vasile, Ilaria R. Univ Calabria DEMACS Via Bucci 30-B I-87036 Arcavacata Di Rende CS Italy

ISBN: (纸本)9783031742088;9783031742095

this article explores the integration of Structured Declarative Language (SDL) into ASP Chef, a low-code web application designed to facilitate the development of pipelines for combinatorial search and optimization. SDL is a recent proposal aimed at simplifying the syntax of Answer Set programming (ASP), inspired by the straightforwardness of SQL. the integration is achieved through the implementation of a server that compiles SDL specifications into ASP programs and the addition of a new operation in ASP Chef to manage data exchange with the server. this integration aims to streamline the development process and make it more accessible for users working on combinatorial optimization tasks.

关键词： Answer Set programming declarative languages Combinatorial Search and Optimization system description

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17th international conference on logic programming and Non-monotonic reasoning, LPNMR 2024

17th International Conference on Logic Programming and Non-m...

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17th international conference on logic programming and Non-monotonic reasoning, LPNMR 2024

ISBN: (纸本)9783031742088

the proceedings contain 30 papers. the special focus in this conference is on logic programming and Non-monotonic reasoning. the topics include: A Sequent Calculus for Generalized Inductive Definitions;tExplain: Information Extraction with Explanations;ASP-Based Large Neighborhood Prioritized Search for Course Timetabling;towards Industrial-Scale Product Configuration;An ILASP-Based Approach to Repair Petri Nets;abstract Dialectical Frameworks are Boolean Networks;Using Learning from Answer Sets for Robust Question Answering with LLM;Multi-paradigm logic programming in the ErgoAI System;An ASP-Based Approach to Water Distribution System Reconstruction;consequence Operators of Characterization logics – the Case of Abstract Argumentation;Efficiently Grounding FOL Using Bit Vectors;Integrating MiniZinc with ASP Chef: Browser-Based Constraint programming for Education and Prototyping;answer Set Explanations via Preferred Unit-Provable Unsatisfiable Subsets;Towards Mass Spectrum Analysis with ASP;monitoring and Scheduling of Semiconductor Failure Analysis Labs;a Semantical Approach to Abstraction in Answer Set programming and Assumption-Based Argumentation;on Forgetting in Assumption-Based Argumentation;Towards Explainable Weather Forecasting through FastLAS;semantic-Based Arguments Using logic programming Rewriting Systems;modelling Dialogues in a Concurrent Language for Argumentation;a Fixpoint Characterisation of Temporal Equilibrium logic;a Category-theoretic Perspective on Higher-Order Approximation Fixpoint theory;a Simulation for Supply Chains Contract Execution;reasoning and Explanation Generation in Ad Hoc Collaboration Between Humans and Embodied AI;policies, Penalties, and Autonomous Agents;LTLf2ASP: LTLf Bounded Satisfiability in ASP;Integrating Structured Declarative Language (SDL) into ASP Chef;a Generalisation of Epistemic Splitting Property.

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Open-World Visual reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols 4th

Open-World Visual Reasoning by a Neuro-Symbolic Program of...

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4th international conference on Pattern Recognition and artificial intelligence, ICPRAI 2024

作者： Burghouts, Gertjan J. Hillerström, Fieke Walraven, Erwin van Bekkum, Michael Ruis, Frank Sijs, Joris van Mil, Jelle Dijk, Judith Meijer, Wouter TNO The Hague2597 AK Netherlands

ISBN: (纸本)9789819787012

We consider the problem of finding spatial configurations of multiple objects in images, e.g., a mobile inspection robot is tasked to localize abandoned tools on the floor. We define the spatial configuration of objects by first-order logic in terms of relations and attributes. A neuro-symbolic program matches the logic formulas to probabilistic object proposals for the given image, provided by language-vision models by querying them for the symbols. this work is the first to combine neuro-symbolic programming (reasoning) and language-vision models (learning) to find spatial configurations of objects in images in an open world setting. We show the effectiveness by finding abandoned tools on floors and leaking pipes. We find that most prediction errors are due to biases in the language-vision model. © the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Knowledge representation

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A Proof Calculus for Ethical reasoning 25th

A Proof Calculus for Ethical Reasoning

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25th international conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024

作者： Gao, Han Lorini, Emiliano Olivetti, Nicola Tesi, Matteo LIS Aix-Marseille University CNRS Marseille France IRIT CNRS Toulouse University Toulouse France TU Wien Vienna Austria

ISBN: (纸本)9783031773662

In order to endow an autonomous agent with ethical reasoning and with the capacity to represent ethical dilemmas it is crucial to model the interplay between its knowledge, values, and preferences. A multi-agent logic of evaluation LEV was recently introduced to explore the connection between these three aspects. In the semantics of this logic, states are partially ordered by a preference relation that reflects the values of the agent, whereas her values are interpreted by a neigbourhood function. In the present paper we provide a proof-theoretic analysis for the mono-agent version of this logic by introducing a hypersequent proof system. Next, we consider a proof-search oriented version of this calculus which provides a decision procedure for this logic and a direct (finite) countermodel extraction from a failed proof. We show how the logic and the calculus can be used to model and perform ethical reasoning. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Differentiation (calculus)

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Restating the Prowess of logic programming 8th

Restating the Prowess of Logic Programming

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8th international conference on Applied Cognitive Computing, ACC 2024, and 26th international conference on artificial intelligence, ICAI 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024

作者： Yang, Feng-Jen Florida Polytechnic University LakelandFL33805 United States

ISBN: (纸本)9783031856273

logic programming stands as a cornerstone among programming paradigms, presenting an unparalleled methodology for addressing a spectrum of quintessential AI challenges. this paradigm harnesses the power of predicate logic to enhance the inference mechanism, thereby demonstrating exceptional proficiency in complex problem-solving domains, including graph traversal and constraint satisfaction dilemmas. this paper explores the potent application of logic programming in devising innovative solutions for the classic conundrum of the farmer-wolf-chicken-grain riddle, showcasing its robustness and versatility in computational reasoning. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Constraint satisfaction problems

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15th international conference on logic programming and Nonmonotonic reasoning, LPNMR 2019

15th International Conference on Logic Programming and Nonmo...

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15th international conference on logic programming and Nonmonotonic reasoning, LPNMR 2019

ISBN: (纸本)9783030205270

the proceedings contain 25 papers. the special focus in this conference is on logic programming and Nonmonotonic reasoning. the topics include: Founded World Views with Autoepistemic Equilibrium logic;towards Dynamic Answer Set programming over Finite Traces;a Sequent-Type Calculus for three-Valued Default logic, Or: Tweety Meets Quartum Non Datur;diagnosing Data Pipeline Failures Using Action Languages;repair-Based Degrees of Database Inconsistency;elect: An Inconsistency Handling Approach for Partially Preordered Lightweight Ontologies;Elaboration Tolerant Representation of Markov Decision Process via Decision-theoretic Extension of Probabilistic Action Language pBC+;Evaluation of Disjunctive Programs in WASP;telingoÂ =Â ASPÂ +Â Time;Telco Network Inventory Validation with NoHR;verifying Strong Equivalence of Programs in the Input Language of gringo;the Return of xorro;Degrees of Laziness in Grounding: Effects of Lazy-Grounding Strategies on ASP Solving;Enhancing DLV for Large-Scale reasoning;Pruning External Minimality Checking for ASP Using Semantic Dependencies;declarative Local Search for Predicate logic;An ASP-Based Framework for the Manipulation of Articulated Objects Using Dual-Arm Robots;C-ASP: Continuous ASP-Based reasoning over RDF Streams;internet Routing and Non-monotonic reasoning;assessing Arguments with Schemes and Fallacies;simple Contrapositive Assumption-Based Frameworks;Argumentation-Based Explanations for Answer Sets Using ADF;treewidth and Counting Projected Answer Sets.

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