Logic Journal of the IGPL

ISSN: 0945-9103

21 found

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  1. Hybrid Machine Learning System to Impute and Classify a Component-Based Robot.Nuño Basurto, Ángel Arroyo, Carlos Cambra & Álvaro Herrero - 2023 - Logic Journal of the IGPL 31 (2):338-351.
    In the field of cybernetic systems and more specifically in robotics, one of the fundamental objectives is the detection of anomalies in order to minimize loss of time. Following this idea, this paper proposes the implementation of a Hybrid Intelligent System in four steps to impute the missing values, by combining clustering and regression techniques, followed by balancing and classification tasks. This system applies regression models to each one of the clusters built on the instances of data set. Subsequently, a (...)
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  2. Filtering non-balanced data using an evolutionary approach.Jessica A. Carballido, Ignacio Ponzoni & Rocío L. Cecchini - 2023 - Logic Journal of the IGPL 31 (2):271-286.
    Matrices that cannot be handled using conventional clustering, regression or classification methods are often found in every big data research area. In particular, datasets with thousands or millions of rows and less than a hundred columns regularly appear in biological so-called omic problems. The effectiveness of conventional data analysis approaches is hampered by this matrix structure, which necessitates some means of reduction. An evolutionary method called PreCLAS is presented in this article. Its main objective is to find a submatrix with (...)
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  3. Global and saturated probabilistic approximations based on generalized maximal consistent blocks.Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek & Rafal Niemiec - 2023 - Logic Journal of the IGPL 31 (2):223-239.
    In this paper incomplete data sets, or data sets with missing attribute values, have three interpretations, lost values, attribute-concept values and ‘do not care’ conditions. Additionally, the process of data mining is based on two types of probabilistic approximations, global and saturated. We present results of experiments on mining incomplete data sets using six approaches, combining three interpretations of missing attribute values with two types of probabilistic approximations. We compare our six approaches, using the error rate computed as a result (...)
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  4.  3
    low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices.Enrique A. de la Cal, Mirko Fáñez, Mario Villar, Jose R. Villar & Víctor M. González - 2023 - Logic Journal of the IGPL 31 (2):375-389.
    There are many real-world applications like healthcare systems, job monitoring, well-being and personal fitness tracking, monitoring of elderly and frail people, assessment of rehabilitation and follow-up treatments, affording Fall Detection (FD) and ADL (Activity of Daily Living) identification, separately or even at a time. However, the two main drawbacks of these solutions are that most of the times, the devices deployed are obtrusive (devices worn on not quite common parts of the body like neck, waist and ankle) and the poor (...)
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  5.  1
    Robust schedules for tardiness optimization in job shop with interval uncertainty.Hernán Díaz, Juan José Palacios, Irene Díaz, Camino R. Vela & Inés González-Rodríguez - 2023 - Logic Journal of the IGPL 31 (2):240-254.
    This paper addresses a variant of the job shop scheduling problem with total tardiness minimization where task durations and due dates are uncertain. This uncertainty is modelled with intervals. Different ranking methods for intervals are considered and embedded into a genetic algorithm. A new robustness measure is proposed to compare the different ranking methods and assess their capacity to predict ‘expected delays’ of jobs. Experimental results show that dealing with uncertainty during the optimization process yields more robust solutions. A sensitivity (...)
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  6.  2
    PBIL for optimizing inception module in convolutional neural networks.Pedro García-Victoria, Miguel A. Gutiérrez-Naranjo, Miguel Cárdenas-Montes & Roberto A. Vasco-Carofilis - 2023 - Logic Journal of the IGPL 31 (2):325-337.
    Inception module is one of the most used variants in convolutional neural networks. It has a large portfolio of success cases in computer vision. In the past years, diverse inception flavours, differing in the number of branches, the size and the number of the kernels, have appeared in the scientific literature. They are proposed based on the expertise of the practitioners without any optimization process. In this work, an implementation of population-based incremental learning is proposed for automatic optimization of the (...)
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  7.  2
    Streaming big time series forecasting based on nearest similar patterns with application to energy consumption.P. Jiménez-Herrera, L. Melgar-GarcÍa, G. Asencio-Cortés & A. Troncoso - 2023 - Logic Journal of the IGPL 31 (2):255-270.
    This work presents a novel approach to forecast streaming big time series based on nearest similar patterns. This approach combines a clustering algorithm with a classifier and the nearest neighbours algorithm. It presents two separate stages: offline and online. The offline phase is for training and finding the best models for clustering, classification and the nearest neighbours algorithm. The online phase is to predict big time series in real time. In the offline phase, data are divided into clusters and a (...)
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  8.  4
    Surrogate-based optimization of learning strategies for additively regularized topic models.Maria Khodorchenko, Nikolay Butakov, Timur Sokhin & Sergey Teryoshkin - 2023 - Logic Journal of the IGPL 31 (2):287-299.
    Topic modelling is a popular unsupervised method for text processing that provides interpretable document representation. One of the most high-level approaches is additively regularized topic models (ARTM). This method features better quality than other methods due to its flexibility and advanced regularization abilities. However, it is challenging to find an optimal learning strategy to create high-quality topics because a user needs to select the regularizers with their values and determine the order of application. Moreover, it may require many real runs (...)
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  9.  2
    Entity alignment via summary and attribute embeddings.Rumana Ferdous Munne & Ryutaro Ichise - 2023 - Logic Journal of the IGPL 31 (2):314-324.
    Entity alignment is the task of integrating heterogeneous knowledge among different knowledge graphs (KGs). KG is a popular way of storing facts about real-world entities. Unfortunately, a very limited number of the entities stored in different KGs are aligned. This paper presents an embedding-based entity alignment method that finds entity alignment by measuring the similarities between entity embeddings. Existing methods mainly focus on the relational structures and attributes information for the alignment process. Such methods fail while the entities have a (...)
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  10.  4
    Three-Stage Hybrid Clustering System for Diagnosing Children with Primary Headache Disorder.Svetlana Simić, Slađana Sakač, Zorana Banković, José R. Villar, José Luis Calvo-Rolle, Svetislav D. Simić & Dragan Simić - 2023 - Logic Journal of the IGPL 31 (2):300-313.
    Headache disorders can be considered as the predominant neurological condition. In the field of neurological diseases, migraine was estimated to cost a total of €27 billion per year for the loss through reduced work productivity in the European Community. Medical data and information in turn provide knowledge based on which physicians make scientific decisions for diagnosis and treatments. It is, therefore, very useful to create diagnostic tools to help physicians make better decisions. This paper is focused on a new hybrid (...)
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  11.  9
    Network security situation awareness forecasting based on statistical approach and neural networks.Pavol Sokol, Richard Staňa, Andrej Gajdoš & Patrik Pekarčík - 2023 - Logic Journal of the IGPL 31 (2):352-374.
    The usage of new and progressive technologies brings with it new types of security threats and security incidents. Their number is constantly growing.The current trend is to move from reactive to proactive activities. For this reason, the organization should be aware of the current security situation, including the forecasting of the future state. The main goal of organizations, especially their security operation centres, is to handle events, identify potential security incidents, and effectively forecast the network security situation awareness (NSSA). In (...)
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  12. novel method for anomaly detection using beta Hebbian learning and principal component analysis.Francisco Zayas-Gato, Álvaro Michelena, Héctor Quintián, Esteban Jove, José-Luis Casteleiro-Roca, Paulo Leitão & José Luis Calvo-Rolle - 2023 - Logic Journal of the IGPL 31 (2):390-399.
    In this research work a novel two-step system for anomaly detection is presented and tested over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta Hebbian Learning algorithm, is applied over each dataset, either to reduce the dimensionality of the original dataset or to face nonlinear datasets by generating a new subspace of the original dataset with lower, or even higher, dimensionality selecting the right activation function. Finally, in the second step Principal Component Analysis anomaly detection (...)
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  13.  4
    Remarks about the unification types of some locally tabular normal modal logics.Philippe Balbiani, ÇiĞdem Gencer, Maryam Rostamigiv & Tinko Tinchev - 2023 - Logic Journal of the IGPL 31 (1):115-139.
    It is already known that unifiable formulas in normal modal logic |$\textbf {K}+\square ^{2}\bot $| are either finitary or unitary and unifiable formulas in normal modal logic |$\textbf {Alt}_{1}+\square ^{2}\bot $| are unitary. In this paper, we prove that for all |$d{\geq }3$|⁠, unifiable formulas in normal modal logic |$\textbf {K}+\square ^{d}\bot $| are either finitary or unitary and unifiable formulas in normal modal logic |$\textbf {Alt}_{1}+\square ^{d}\bot $| are unitary.
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  14.  4
    Modelling dynamic behaviour of agents in a multiagent world: Logical analysis of Wh-questions and answers.Martina Číhalová & Marie Duží - 2023 - Logic Journal of the IGPL 31 (1):140-171.
    In a multiagent and multi-cultural world, the fine-grained analysis of agents’ dynamic behaviour, i.e. of their activities, is essential. Dynamic activities are actions that are characterized by an agent who executes the action and by other participants of the action. Wh-questions on the participants of the actions pose a difficult particular challenge because the variability of the types of possible answers to such questions is huge. To deal with the problem, we propose the analysis and classification of Wh-questions apt for (...)
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  15.  4
    Linear temporal justification logics with past and future time modalities.Meghdad Ghari - 2023 - Logic Journal of the IGPL 31 (1):1-38.
    Temporal justification logic is a new family of temporal logics of knowledge in which the knowledge of agents is modelled using a justification logic. In this paper, we present various temporal justification logics involving both past and future time modalities. We combine Artemov’s logic of proofs with linear temporal logic with past, and we also investigate several principles describing the interaction of justification and time. We present two kinds of semantics for our temporal justification logics, one based on interpreted systems (...)
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  16.  5
    On weak filters and ultrafilters: Set theory from (and for) knowledge representation.Costas D. Koutras, Christos Moyzes, Christos Nomikos, Konstantinos Tsaprounis & Yorgos Zikos - 2023 - Logic Journal of the IGPL 31 (1):68-95.
    Weak filters were introduced by K. Schlechta in the ’90s with the aim of interpreting defaults via a generalized ‘most’ quantifier in first-order logic. They arguably represent the largest class of structures that qualify as a ‘collection of large subsets’ of a given index set |$I$|⁠, in the sense that it is difficult to think of a weaker, but still plausible, definition of the concept. The notion of weak ultrafilter naturally emerges and has been used in epistemic logic and other (...)
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  17.  4
    Complexity of the interpretability logics ILW and ILP.Luka Mikec - 2023 - Logic Journal of the IGPL 31 (1):194-213.
    The interpretability logic ILP is the interpretability logic of all sufficiently strong |$\varSigma _1$|-sound finitely axiomatised theories, such as the Gödel-Bernays set theory. The interpretability logic IL is a strict subset of the intersection of the interpretability logics of all so-called reasonable theories, IL(All). It is known that both ILP and ILW are decidable, however their complexity has not been resolved previously. In [10] it was shown that the basic interpretability logic IL is PSPACE-complete. Here we prove the same for (...)
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  18.  8
    Logic of informal provability with truth values.Pawel Pawlowski & Rafal Urbaniak - 2023 - Logic Journal of the IGPL 31 (1):172-193.
    Classical logic of formal provability includes Löb’s theorem, but not reflection. In contrast, intuitions about the inferential behavior of informal provability (in informal mathematics) seem to invalidate Löb’s theorem and validate reflection (after all, the intuition is, whatever mathematicians prove holds!). We employ a non-deterministic many-valued semantics and develop a modal logic T-BAT of an informal provability operator, which indeed does validate reflection and invalidates Löb’s theorem. We study its properties and its relation to known provability-related paradoxical arguments. We also (...)
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  19.  10
    Corrigendum for.Lavinia Picollo - 2023 - Logic Journal of the IGPL 31 (1):214-217.
    In the originally published version of this manuscript, several errors were noted and listed in this corrigendum. The author apologises for these inaccuracies.
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  20.  6
    The relevance logic of Boolean groups.Yale Weiss - 2023 - Logic Journal of the IGPL 31 (1):96-114.
    In this article, I consider the positive logic of Boolean groups (i.e. Abelian groups where every non-identity element has order 2), where these are taken as frames for an operational semantics à la Urquhart. I call this logic BG. It is shown that the logic over the smallest nontrivial Boolean group, taken as a frame, is identical to the positive fragment of a quasi-relevance logic that was developed by Robles and Méndez (an extension of this result where negation is included (...)
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  21.  3
    Algorithmic correspondence for hybrid logic with binder.Zhiguang Zhao - 2023 - Logic Journal of the IGPL 31 (1):39-67.
    In the present paper, we develop the algorithmic correspondence theory for hybrid logic with binder |$\mathcal {H}(@, \downarrow )$|⁠. We define the class of Sahlqvist inequalities for |$\mathcal {H}(@, \downarrow )$|⁠, and each inequality of which is shown to have a first-order frame correspondent effectively computable by an algorithm |$\textsf {ALBA}^{\downarrow }$|⁠.
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