the DAPRECO knowledge base is the main outcome of the interdisciplinary project bearing the same name (https://***/projects/data-protection-regulation-compliance). It is a repository of rules written in LegalRuleML, a...
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the DAPRECO knowledge base is the main outcome of the interdisciplinary project bearing the same name (https://***/projects/data-protection-regulation-compliance). It is a repository of rules written in LegalRuleML, an XML formalism designed to be a standard for representing the semantic and logical content of legal documents. the rules represent the provisions of the General Data Protection Regulation (GDPR), the new Regulation that is significantly affecting the digital market in the European Union and beyond. the DAPRECO knowledge base builds upon the Privacy Ontology (PrOnto) (Palmirani et al in Proceedings of the 7thinternationalconference on electronic government and the information systems perspective: technology-enabled innovation for democracy, government and governance, 2018c), which provides a model for the legal concepts involved in the GDPR, by adding a further layer of constraints in the form of if-then rules, referring either to standard first order logic implications or to deontic statements. If-then rules are formalized in reified Input/Output logic (Robaldo and Sun in J Log Comput 7, 2017) and then codified in LegalRuleML. Reified Input/Output logic is an application of standard Input/Output logic for legal reasoning, in which Input/Output logic is combined withthe reification-based approach in Hobbs and Gordon (A formal theory of commonsense psychology, how people think people think. Cambridge University Press, Cambridge, 2017). the DAPRECO knowledge base is then a case study for reified Input/Output logic, and it shows that the formalism indeed appears to be a good candidate to effectively formalize, via uniform and simple (flat) representations, complex linguistic/deontic phenomena that may be found in legal texts. To date, the DAPRECO knowledge base is the biggest knowledge base in LegalRuleML and Input/Output logic freely available online (https://***/dapreco/daprecokb/blob/master/gdpr/rioKB_***).
logicprogramming and Nonmonotonic reasoning : 7thinternationalconference, Lpnmr 2004, Fort Lauderdale, Fl, Usa, January 6-8, 2004 : Proceedings by Lpnmr 2004 (2004 : Fort Lauderdale, Fla.); Lifschitz, Vladimir; Nie...
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logicprogramming and Nonmonotonic reasoning : 7thinternationalconference, Lpnmr 2004, Fort Lauderdale, Fl, Usa, January 6-8, 2004 : Proceedings by Lpnmr 2004 (2004 : Fort Lauderdale, Fla.); Lifschitz, Vladimir; Niemelä, Ilkka, 1961-; published by Berlin ; New York : Springer
Susceptibility to landslides is one of the geological hazards that most frequently occur along the roads and hereby mainly in those situated in mountainous areas. through multicriteria studies it is possible to determ...
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ISBN:
(纸本)9781728158822
Susceptibility to landslides is one of the geological hazards that most frequently occur along the roads and hereby mainly in those situated in mountainous areas. through multicriteria studies it is possible to determine critical points, however, these are generally deterministic, so new methodologies that offer a probability of occurrence in the entire study area are sought. the Fuzzy method is a probabilistic technique that is based on the observed to emulate the thinking of the human being and generate an artificial reasoning. therefore, the main objective of the current study has been to evaluate the susceptibility to landslides through Fuzzy logic in combination withthe Analytical Hierarchical Process (AHP) in the Macas - Riobamba road. this should allow to define critical points in such road. We applied five variables being slope, precipitation, proximity to rivers and roads, as well as vegetation cover. the spatial data were transformed to raster to later standardize their values. Withthe support of membership functions, the membership of each variable was established to finally perform the weighted sum and obtain the resulting model. three models were obtained with AHP and one without this, whose adjustments were 84.1%, 87.1% 89.5% and 60.3% respectively. We identified that the susceptibility to landslides is in the part that crosses the Andes mountain range, with critical points in four specific sectors. With Fuzzy logic it was possible to generate susceptibility maps, which support make decision processes.
Research on cyber-physical systems has gained importance and we see an increasing number of applications ranging from ordinary cars to autonomous systems. the latter are of increasing interest requiring additional fun...
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ISBN:
(数字)9783030794637
ISBN:
(纸本)9783030794620;9783030794637
Research on cyber-physical systems has gained importance and we see an increasing number of applications ranging from ordinary cars to autonomous systems. the latter are of increasing interest requiring additional functionality like self-healing capabilities for improving availability. For autonomous systems, it is not only important to detect failures during operation, but also to come up withtheir causes. In this paper, we contribute to the foundations of diagnosis. We introduce a method for modeling cyber-physical systems considering behavior over time, in order to make use of model-based reasoning for computing diagnosis candidates. In particular, we discuss a thermal model coupled with a controller for keeping temperature within pre-defined values and show how this contributes to the computation of diagnoses given an unexpected behavior. the discussed modeling principles can be used as a blueprint for similar systems where controllers are coupled with a physical system. Diagnosis results obtained when using the thermal model and the observed diagnosis time, which was a fraction of a second, seem to indicate the applicability of the presented approach for industrial applications.
Withthe increasing penetration of the renewables, power system requires more resources with high ramping rate in the secondary frequency control (SFC). Battery energy storage system (BESS) is regarded as an effective...
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Withthe increasing penetration of the renewables, power system requires more resources with high ramping rate in the secondary frequency control (SFC). Battery energy storage system (BESS) is regarded as an effective one to follow the regulation signals. Meanwhile, the optimal operation of BESS cluster brings challenges to independent system operator (ISO), as more BESSs are involved in a control area. Specifically, the control center tries to take full advantages of the characteristics of BESS meeting frequency regulation requirement, and to follow the state of charge (SoC) limitation in BESS distribution. therefore, a degree of participation (DP) based SFC for BESS cluster is proposed in this paper. In detail, a fuzzy-logic inference system (FLIS) is applied to determine a proper DP by considering the system frequency regulation requirements and BESS SoC. Also, the coefficients of the BESS operation cost function vary with DP, and the distribution of BESS in SFC is achieved to minimize the operation cost of BESS cluster by quadratic programming algorithm (QPA). At last, the promising results shows the BESS is well arranged by the proposed DP-based SFC, balancing the system frequency regulation requirement and BESS SoC limitation. (C) 2020 the Authors. Published by Elsevier Ltd.
We present a reinforcement learning toolkit for experiments with guiding automatedtheorem proving in the connection calculus. the core of the toolkit is a compact and easy to extend Prolog-based automatedtheorem pro...
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ISBN:
(纸本)9783030510541;9783030510534
We present a reinforcement learning toolkit for experiments with guiding automatedtheorem proving in the connection calculus. the core of the toolkit is a compact and easy to extend Prolog-based automatedtheorem prover called plCoP. plCoP builds on the leanCoP Prolog implementation and adds learning-guided Monte-Carlo Tree Search as done in the rlCoP system. Other components include a Python interface to plCoP and machine learners, and an external proof checker that verifies the validity of plCoP proofs. the toolkit is evaluated on two benchmarks and we demonstrate its extendability by two additions: (1) guidance is extended to reduction steps and (2) the standard leanCoP calculus is extended with rewrite steps and their learned guidance. We argue that the Prolog setting is suitable for combining statistical and symbolic learning methods. the complete toolkit is publicly released.
Whilst computational argumentation and explanation have both been studied intensively in AI, models that incorporate both types of reasoning are few and far between. the two forms of reasoning need to be clearly disti...
the proceedings contain 15 papers. the special focus in this conference is on Model-Based Safety and Assessment. the topics include: Identification and Quantification of Hazardous Scenarios for automated Driving;an In...
ISBN:
(纸本)9783030589196
the proceedings contain 15 papers. the special focus in this conference is on Model-Based Safety and Assessment. the topics include: Identification and Quantification of Hazardous Scenarios for automated Driving;an Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems;SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measures;Model-Based Error Detection for Industrial Automation Systems Using LSTM Networks;u-Map: A Reference Map for Safe Handling of Runtime Uncertainties;argument-Driven Safety Engineering of a Generic Infusion Pump with Digital Dependability Identities;Model-Based Risk Analysis for an Open-Source PCA Pump Using AADL Error Modeling;Reliability Evaluation of Reconfigurable NMR Architecture Supported with Hot Standby Spare: Markov Modeling and Formulation;branching Transitions for Semi-Markov Processes with Application to Safety-Critical Systems;optimal Scheduling of Preventive Maintenance for Safety Instrumented Systems Based on Mixed-Integer programming;counterexample Interpretation for Contract-Based Design;property-Based Fault Injection: A Novel Approach to Model-Based Fault Injection for Safety Critical Systems;failure Mode reasoning in Model Based Safety Analysis.
the proceedings contain 17 papers. the topics discussed include: model checking BDI logics over finite-state worlds;in silico clinical trials through AI and statistical model checking;automated verification of noisy n...
the proceedings contain 17 papers. the topics discussed include: model checking BDI logics over finite-state worlds;in silico clinical trials through AI and statistical model checking;automated verification of noisy nonlinear cyber-physical systems with Ariadne;towards the automated verification of publish/subscribe networks;verification with answer set programming, reasoning about actions and change, constraints and ontologies;pushing runtime verification to the limit: may process semantics be with us;robustness verification of decision tree ensembles;pairing monitoring with machine learning for smart system verification and predictive maintenance;and a prototype for the robust execution of flexible plans.
Computer Supported Collaborative Learning scripts define pedagogically effective practices for organizing collaborative activities. this paper presents a novel platform for defining CSCL scripts. this platform is comp...
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ISBN:
(纸本)9783030505059;9783030505066
Computer Supported Collaborative Learning scripts define pedagogically effective practices for organizing collaborative activities. this paper presents a novel platform for defining CSCL scripts. this platform is composed of the following components: a) a formal language named COSTLy for the specification of CSCL scripts based on logic and constraints, b) a visual environment that facilitates the authoring of scripts, based on the formal language, and c) a mechanism that translates the abstract definitions of scripts into constraint logic programs, thus implementing group formation and task distribution of actual scenario instances. the expressiveness of the proposed language was evaluated. Also the results of a usability evaluation of the proposed platform are reported in the paper. It was shown that university students were able to use the platform in order to describe CSCL scripts of high complexity.
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