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检索条件"主题词=Answer Set Programming"

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LARS: A Logic-Based Framework for Analytic Reasoning over Streams (Extended Abstract) 44th

LARS: A Logic-Based Framework for Analytic Reasoning over St...

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44th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM)

作者： Beck, Harald Minh Dao-Tran Eiter, Thomas Vienna Univ Technol Inst Informat Syst Favoritenstr 9-11 A-1040 Vienna Austria

ISBN: (纸本)9783319731179;9783319731162

Stream reasoning considers continuously deriving conclusions on streaming data. While traditional stream processing approaches focus on throughput and are often based on operational grounds, reasoning approaches aim at high expressiveness based on declarative semantics;yet according theoretical underpinning in the streaming area has been lacking. To fill this gap, we provide LARS, a Logic-based Framework for Analytic Reasoning over Streams. It provides generic window operators to limit reasoning to recent snapshots of data, and modalities to control the temporal information of data. Building on resulting formulas, a rule-based language is presented which can be seen as extension of answer set programming (ASP) for streams. We study semantic properties and the computational complexity of LARS, its relation to other formalisms and mention various work that builds on it.

关键词： answer set programming Stream reasoning Dynamic data

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AQuA: ASP-Based Visual Question answering 22nd

AQuA: ASP-Based Visual Question Answering

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22nd International Symposium on Practical Aspects of Declarative Languages (PADL)

作者： Basu, Kinjal Shakerin, Farhad Gupta, Gopal Univ Texas Dallas Richardson TX 75083 USA

ISBN: (纸本)9783030391973;9783030391966

AQuA (ASP-based Question answering) is an answer set programming (ASP) based visual question answering framework that truly "understands" an input picture and answers natural language questions about that picture. The knowledge contained in the picture is extracted using YOLO, a neural network-based object detection technique, and represented as an answer set program. Natural language processing is performed on the question to transform it into an ASP query. Semantic relations are extracted in the process for deeper understanding and to answer more complex questions. The resulting knowledge-base-with additional commonsense knowledge imported-can be used to perform reasoning using an ASP system, allowing it to answer questions about the picture, just like a human. This framework achieves 93.7% accuracy on CLEVR dataset, which exceeds human baseline performance. What is significant is that AQuA translates a question into an ASP query without requiring any training. Our framework for Visual Question answering is quite general and closely simulates the way humans operate. In contrast to existing purely machine learning-based methods, our framework provides an explanation for the answer it computes, while maintaining high accuracy.

关键词： answer set programming Visual question answering Commonsense reasoning Natural language understanding

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Modelling the Outlier Detection Problem in ASP(Q) 24th

Modelling the Outlier Detection Problem in ASP(Q)

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24th International Conference on Practical Aspects of Declarative Languages, PADL 2022

作者： Bellusci, Pierpaolo Mazzotta, Giuseppe Ricca, Francesco University of Calabria Rende Italy

ISBN: (纸本)9783030944780

Knowledge discovery techniques had important impact in several relevant application domains. Among the most important knowledge discovery tasks is outlier detection. Outlier detection is the task of identifying anomalous individuals in a given population. This task is very demanding from the computational complexity point of view, being located in the second level of the polynomial hierarchy. Angiulli et al. in 2007 proposed to employ answer set programming (ASP) to compute outliers. Their solution is based on the saturation technique and, as a consequence, it is very hard to evaluate by ASP systems. In this paper we resort to answer set programming with Quantifiers (ASP(Q)) to provide a more declarative, compact and efficient modeling of the outlier detection problem. An experiment on syntetic benchmarks proves that our ASP(Q)-based solution can handle databases that are three order of magnitude larger than the ASP-based one proposed by Angiulli et al. © 2022, Springer Nature Switzerland AG.

关键词： answer set programming Knowledge representation Outlier detection

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PickUp Planner: A Scheduling and Dynamic Routing Service for Connected Vehicles 4

PickUp Planner: A Scheduling and Dynamic Routing Service for...

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4th International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Feljan, Aneta Vulgarakis Bararsani, Azadeh Got, Nicholas Ericsson Res Stockholm Sweden Uppsala Univ Uppsala Sweden

ISBN: (纸本)9781509064656

Scheduling is needed in a multitude of smart city domains, such as public transportation, logistics, organization of events and parts delivery in assembly lines. In this paper, we present the architecture and implementation of PickUp Planner, a service that enables scheduling and dynamic routing of connected vehicles for picking up number of users distributed in the city. The service dynamically reconfigures the routes of the vehicles based on real-time traffic condition information, which in turn is gathered from the road infrastructure and other connected vehicles registered to the service. The crux of the service is the usage of a novel vehicle routing and scheduling algorithm that combines clustering algorithms and answer set programming. Our evaluation shows that the algorithm decreases the total distance traveled by the vehicles, and therefore reduces fuel consumption and emissions from the vehicles. We also conclude that answer set programming solvers may not be the best choice for scenarios in which there is a high number of users to be served frequently.

关键词： vehicle routing and scheduling answer set programming clustering implementation service

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A Semantic Characterization for ASP Base Revision 11th

A Semantic Characterization for ASP Base Revision

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11th International Conference on Scalable Uncertainty Management (SUM)

作者： Garcia, Laurent Lefevre, Claire Papini, Odile Stephan, Igor Wurbel, Eric Univ Angers LERIA Angers France Aix Marseille Univ CNRS UMR 7296 LSIS Marseille France

ISBN: (纸本)9783319675824;9783319675817

The paper deals with base revision for answer set programming (ASP). Base revision in classical logic is done by the removal of formulas. Exploiting the non-monotonicity of ASP allows one to propose other revision strategies, namely addition strategy or removal and/or addition strategy. These strategies allow one to define families of rule-based revision operators. The paper presents a semantic characterization of these families of revision operators in terms of answer sets. This characterization allows one to equivalently consider the evolution of syntactic logic programs and the evolution of their semantic content.

关键词： answer set programming Base revision Belief revision Belief change Non-monotonic reasoning

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Testing and debugging techniques for answer set solver development

Testing and debugging techniques for answer set solver devel...

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26th International Conference on Logic programming (ICLP)

作者： Brummayer, Robert Jarvisalo, Matti Johannes Kepler Univ Linz Inst Formal Models & Verificat Linz Austria Univ Helsinki Dept Comp Sci FIN-00014 Helsinki Finland

This paper develops automated testing and debugging techniques for answer set solver development. We describe a flexible grammar-based black-box ASP fuzz testing tool which is able to reveal various defects such as unsound and incomplete behavior, i.e. invalid answer sets and inability to find existing solutions, in state-of-the-art answer set solver implementations. Moreover, we develop delta debugging techniques for shrinking failure-inducing inputs on which solvers exhibit defective behavior. In particular, we develop a delta debugging algorithm in the context of answer set solving, and evaluate two different elimination strategies for the algorithm.

关键词： answer set programming answer set solvers testing debugging

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Reasoning support for risk prediction and prevention in independent living

Reasoning support for risk prediction and prevention in inde...

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24th International Conference on Logic programming (ICLP)

作者： Mileo, A. Merico, D. Bisiani, R. Univ Milano Bicocca NOMADIS Res Lab Dept Informat Syst & Commun I-20126 Milan Italy

In recent years there has been a growing interest in solutions for the delivery of clinical care for the elderly because of the large increase in aging population. Monitoring a patient in his home environment is necessary to ensure continuity of care in home settings, but, to be useful, this activity must not be too invasive for patients and a burden for caregivers. We prototyped a system called Secure and IN Dependent lIving (SINDI), focused on (a) collecting a limited amount of data about the person and the environment through Wireless Sensor Networks (WSN), and (b) inferring from these data enough information to support caregivers in understanding patients' well-being and in predicting possible evolutions of their health. Our hierarchical logic-based model of health combines data from different sources, sensor data, tests results, common-sense knowledge and patient's clinical profile at the lower level, and correlation rules between health conditions across upper levels. The logical formalization and the reasoning process are based on answer set programming. The expressive power of this logic programming paradigm makes it possible to reason about health evolution even when the available information is incomplete and potentially incoherent, while declarativity simplifies rules specification by caregivers and allows automatic encoding of knowledge. This paper describes how these issues have been targeted in the application scenario of the SINDI system.

关键词： answer set programming wireless sensor networks independent living prediction context-awareness knowledge representation dependency graph

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Outpatient Day Service Operations: A Case Study Within Rheumatology Diseases Management 3rd

Outpatient Day Service Operations: A Case Study Within Rheum...

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3rd International Conference on Health Care Systems Engineering (HCSE)

作者： Ielpa, Giuseppe Guido, Rosita Conforti, Domenico Univ Calabria DIMEG Arcavacata Di Rende Italy

ISBN: (纸本)9783319661469;9783319661452

This work presents an innovative quantitative approach, based on an optimization model, to manage outpatient Day Service operations. The main objective of the research work is to maximize admitted patient flow in order to use available resources efficiently. The model is designed with the help of answer set programming and implemented in Datalog with Disjunction (DLV) system. As significant case study, we consider the Rheumatology domain. Preliminary results are presented.

关键词： Patient admission planning Access rules Priority Appointment scheduling answer set programming Day service

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A declarative approach to distributed computing: Specification, execution and analysis

A declarative approach to distributed computing: Specificati...

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29th International Conference on Logic programming ICLP

作者： Ma, Jiefei Le, Franck Wood, David Russo, Alessandra Lobo, Jorge Imperial Coll London London England IBM Corp Waston Lab Armonk NY 10504 USA ICREA Univ Pompeu Fabra Barcelona Spain

There is an increasing interest in using logic programming to specify and implement distributed algorithms, including a variety of network applications. These are applications where data and computation are distributed among several devices and where, in principle, all the devices can exchange data and share the computational results of the group. In this paper we propose a declarative approach to distributed computing whereby distributed algorithms and communication models can be (i) specified as action theories of fluents and actions;(ii) executed as collections of distributed state machines, where devices are abstracted as (input/output) automata that can exchange messages;and (iii) analysed using existing results on connecting causal theories and answer set programming. Results on the application of our approach to different classes of network protocols are also presented.

关键词： action theory answer set programming network protocols distributed computing

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Representing hybrid automata by action language modulo theories

Representing hybrid automata by action language modulo theor...

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33rd International Conference on Logic programming colocated with the 23rd International Conference on Principles and Practice of Constraint programming / 20th International Conference on Theory and Applications of Satisfiability Testing

作者： Lee, Joohyung Loney, Nikhil Meng, Yunsong Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85281 USA Houzz Inc Palo Alto CA USA

Both hybrid automata and action languages are formalisms for describing the evolution of dynamic systems. This paper establishes a formal relationship between them. We show how to succinctly represent hybrid automata in an action language which in turn is defined as a high-level notation for answer set programming modulo theories-an extension of answer set programs to the firstorder level similar to the way satisfiability modulo theories (SMT) extends propositional satisfiability (SAT). We first show how to represent linear hybrid automata with convex invariants by an action language modulo theories. A further translation into SMT allows for computing them using SMT solvers that support arithmetic over reals. Next, we extend the representation to the general class of non-linear hybrid automata allowing even non-convex invariants. We represent them by an action language modulo ordinary differential equations, which can be compiled into satisfiability modulo ordinary differential equations. We present a prototype system CPLUS2ASPMT based on these translations, which allows for a succinct representation of hybrid transition systems that can be computed effectively by the state-of-the-art SMT solver dReal.

关键词： answer set programming Action languages Hybrid automata

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