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- research-articleSeptember 2024
Infant Walking and Everyday Experience: Unraveling the Development of Behavior from Motor Development
New Generation Computing (NEWG), Volume 42, Issue 5Pages 1115–1127https://doi.org/10.1007/s00354-024-00281-2AbstractThe development of walking has been extensively studied because it enables infants to move more, carry and manipulate objects, and engage in more frequent interactions with people. Changes in various domains, such as motor and cognitive abilities, ...
- research-articleAugust 2024
Force-Based Modeling of Heterogeneous Roles in the Coordinated Behavior of a Triad
New Generation Computing (NEWG), Volume 42, Issue 5Pages 983–995https://doi.org/10.1007/s00354-024-00277-yAbstractGroup coordination is defined as interactions with other members to implement a task that is difficult to do alone or to achieve higher performance than an individual. Meanwhile, the adjustment process in coordination is not uniquely determined ...
- research-articleSeptember 2022
An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2
- Nassira Achich,
- Fatma Ghorbel,
- Sonda Ammar Bouhamed,
- Fayçal Hamdi,
- Elisabeth Métais,
- Faiez Gargouri,
- Haithem Kharfia,
- Bilel Gargouri
New Generation Computing (NEWG), Volume 40, Issue 3Pages 845–870https://doi.org/10.1007/s00354-022-00187-xAbstractTemporal data (TD) in Semantic Web are affected by different types of imperfections principally conflict. In the literature, most of the proposed approaches deal with perfect TD. However, to our knowledge, there is no approach to dealing with ...
- research-articleApril 2022
Uncertainty Analysis in Ontology-Based Knowledge Representation
New Generation Computing (NEWG), Volume 40, Issue 1Pages 339–376https://doi.org/10.1007/s00354-022-00162-6AbstractThere are various real-world applications and areas, knowledge that handles with ambiguity, imperfect, or partial are difficult to capture. Such situations cause problems to discover new knowledge while dealing with decision-making and information ...
- research-articleApril 2022
Diagnosing and Treating Effect of Legal Rule-Based Revision
New Generation Computing (NEWG), Volume 40, Issue 1Pages 25–45https://doi.org/10.1007/s00354-022-00157-3AbstractSince statutes are revised over time, a rule-base representing statutes requires revisions to update represented interpretations. As an extension of our paper in JSAI2021, we investigate an aspect of semantical changes and the effects of revision ...
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- research-articleApril 2022
Enhancing Linear Algebraic Computation of Logic Programs Using Sparse Representation
New Generation Computing (NEWG), Volume 40, Issue 1Pages 225–254https://doi.org/10.1007/s00354-021-00142-2AbstractAlgebraic characterization of logic programs has received increasing attention in recent years. Researchers attempt to exploit connections between linear algebraic computation and symbolic computation to perform logical inference in large-scale ...
- research-articleNovember 2020
CCDSF: A Computational Creative Design Systems Framework
New Generation Computing (NEWG), Volume 38, Issue 4Pages 673–711https://doi.org/10.1007/s00354-020-00109-9AbstractFrom a mixed perspective of the fields of computational creativity and design research, we present a formal framework called Computational Creative Design Systems Framework (CCDSF) for describing, analyzing, and modeling Computational Creative ...
- research-articleJuly 2020
Knowledge-Driven Intelligent Survey Systems Towards Open Science
New Generation Computing (NEWG), Volume 38, Issue 3Pages 397–421https://doi.org/10.1007/s00354-020-00087-yAbstractIn this paper, we propose Knowledge Graph (KG), an articulated underlying semantic structure, as a semantic bridge between humans, systems, and scientific knowledge. To illustrate our proposal, we focus on KG-based intelligent survey systems. In ...
- research-articleMarch 2020
Attentional Reinforcement Learning in the Brain
New Generation Computing (NEWG), Volume 38, Issue 1Pages 49–64https://doi.org/10.1007/s00354-019-00081-zAbstractRecently, attention mechanisms have significantly boosted the performance of natural language processing using deep learning. An attention mechanism can select the information to be used, such as by conducting a dictionary lookup; this information ...
- research-articleApril 2019
Disjunctive Abduction
New Generation Computing (NEWG), Volume 37, Issue 2Pages 219–243https://doi.org/10.1007/s00354-019-00059-xAbstractGiven an observation or a goal, abduction infers candidate hypotheses to explain the observation or to achieve the goal. In this paper, we consider disjunctive abduction, in which disjunctions play important roles in abduction. Machine-oriented ...
- research-articleApril 2019
From Fifth Generation Computing to Skill Science
New Generation Computing (NEWG), Volume 37, Issue 2Pages 141–158https://doi.org/10.1007/s00354-019-00058-yAbstractProfessor Koichi Furukawa, an eminent computer scientist and former Editor-in-Chief of the New Generation Computing journal, passed away on January 31, 2017. His passing was a surprise, and we were all shocked and saddened by the news. To remember ...
- research-articleApril 2019
Methodological and Philosophical Issues in Studies on Embodied Knowledge
New Generation Computing (NEWG), Volume 37, Issue 2Pages 167–184https://doi.org/10.1007/s00354-019-00055-1AbstractWe argue that studies on embodied knowledge should deal with the process of how knowledge is learned, if we consider the essential meaning of the notion of “embodiment”. In other words, those studies are supposed to deal with the flow of time as ...
- research-articleApril 2019
A Representation of Rhythmic Motions
New Generation Computing (NEWG), Volume 37, Issue 2Pages 185–201https://doi.org/10.1007/s00354-019-00051-5AbstractSkill is an action requiring intelligence. It has been debated whether motions require representations because they are thought to describe procedures. The dichotomy between thought and execution has puzzled us because we are unsure how thinking ...
- research-articleJuly 2018
On a Class of Reversible Primitive Recursive Functions and Its Turing-Complete Extensions
New Generation Computing (NEWG), Volume 36, Issue 3Pages 233–256https://doi.org/10.1007/s00354-018-0039-1AbstractReversible computing is both forward and backward deterministic. This means that a uniquely determined step exists from the previous computational configuration (backward determinism) to the next one (forward determinism) and vice versa. We ...
- research-articleJanuary 2017
An Efficient Bayesian Network Structure Learning Strategy
New Generation Computing (NEWG), Volume 35, Issue 1Pages 105–124https://doi.org/10.1007/s00354-016-0007-6AbstractThis paper addresses the problem of efficiently finding an optimal Bayesian network structure for maximizing the posterior probability. In particular, we focus on the B& B strategy to save the computational effort associated with finding the ...
- research-articleJanuary 2017
Learning Causal Graphs with Latent Confounders in Weak Faithfulness Violations
New Generation Computing (NEWG), Volume 35, Issue 1Pages 29–45https://doi.org/10.1007/s00354-016-0003-xAbstractLearning causal models hidden in the background of observational data has been a difficult issue. Dealing with latent common causes and selection bias for constructing causal models in real data is often necessary because observing all relevant ...
- editorialJanuary 2017
Preface: Special Issue on Advanced Methodologies for Bayesian Networks
New Generation Computing (NEWG), Volume 35, Issue 1Pages 1–4https://doi.org/10.1007/s00354-016-0001-zAbstractThe second AMBN was held in Yokohama, Japan on November 16–18, 2015, co-sponsored by the Japanese Society Artificial Intelligence (JSAI) and the National Institute of Advanced Industrial Science and Technology (AIST).The AMBN workshop had over 100 ...
- research-articleOctober 2016
Content-Dependent Question Generation Using LOD for History Learning in Open Learning Space
New Generation Computing (NEWG), Volume 34, Issue 4Pages 367–394https://doi.org/10.1007/s00354-016-0404-xAbstractThe objective of this research is to use current linked open data (LOD) to generate questions automatically to support history learning. This paper tries to clarify the potential of LOD as a learning resource. By linking LOD to natural language ...
- research-articleAugust 2016
Bootstrapping Inference in the IDP Knowledge Base System
New Generation Computing (NEWG), Volume 34, Issue 3Pages 193–220https://doi.org/10.1007/s00354-016-0301-3AbstractDeclarative systems aim at solving tasks by running inference engines on a specification, to free their users from having to specify how a task should be tackled. In order to provide such functionality, declarative systems themselves apply complex ...
- research-articleMarch 2016
Quantum Set Theory Extending the Standard Probabilistic Interpretation of Quantum Theory
New Generation Computing (NEWG), Volume 34, Issue 1-2Pages 125–152https://doi.org/10.1007/s00354-016-0205-2AbstractThe notion of equality between two observables will play many important roles in foundations of quantum theory. However, the standard probabilistic interpretation based on the conventional Born formula does not give the probability of equality ...