Relevant bibliographies by topics / Knowledge operator

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Knowledge operator'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Knowledge operator"

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Sakarinto, Wikan, Hiroshi Narazaki, and Keiichi Shirase. "A Knowledge-Based Model for Capturing and Managing the Knowledge of CNC Operators for Integrating CAM-CNC Operation." International Journal of Automation Technology 5, no. 4 (July 5, 2011): 575–86. http://dx.doi.org/10.20965/ijat.2011.p0575.

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This study is aimed at filling the gap between CAM and CNC operations. The problem is important in practice but has been rarely addressed in the resarch community. In practice, the machining parameters designed by a CAM operator are not always applicable to the machining process by a CNC operator due to several reasons such as tool wear, in-availability, inefficiency, etc. This is mainly due to the discrepancy of knowledge between CAM and CNC operators. To deal with this situation, this study proposes a knowledgebased model for capturing the know-how of CNC operators in the assessment of the product data (CAM files) produced by CAM operators. The assessment determines whether the designed machining parameters are appropriate or not before proceeding further to the machining process. This assessment is the main process where the know-how of a CNC operator is actualized. Based on the data extracted from CAM files, this study discusses a method that captures the knowledge of CNC operators in the process of an assessment. In this work, the discussion is focused on common CNC milling operations.
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JI, JIANMIN, FANGFANG LIU, and JIA-HUAI YOU. "Well-founded operators for normal hybrid MKNF knowledge bases." Theory and Practice of Logic Programming 17, no. 5-6 (September 2017): 889–905. http://dx.doi.org/10.1017/s1471068417000291.

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AbstractHybrid MKNF knowledge bases have been considered one of the dominant approaches to combining open world ontology languages with closed world rule-based languages. Currently, the only known inference methods are based on the approach of guess-and-verify, while most modern SAT/ASP solvers are built under the DPLL architecture. The central impediment here is that it is not clear what constitutes a constraint propagator, a key component employed in any DPLL-based solver. In this paper, we address this problem by formulating the notion of unfounded sets for non-disjunctive hybrid MKNF knowledge bases, based on which we propose and study two new well-founded operators. We show that by employing a well-founded operator as a constraint propagator, a sound and complete DPLL search engine can be readily defined. We compare our approach with the operator based on the alternating fixpoint construction by Knorr et al. (2011. Artificial Intelligence 175, 9, 1528–1554) and show that, when applied to arbitrary partial partitions, the new well-founded operators not only propagate more truth values but also circumvent the non-converging behavior of the latter. In addition, we study the possibility of simplifying a given hybrid MKNF knowledge base by employing a well-founded operator and show that, out of the two operators proposed in this paper, the weaker one can be applied for this purpose and the stronger one cannot. These observations are useful in implementing a grounder for hybrid MKNF knowledge bases, which can be applied before the computation of MKNF models.
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Choudhury, M. A., S. I. Zaman, and Yaqoub Al-Nassar. "A knowledge-Induced Operator Model." Sultan Qaboos University Journal for Science [SQUJS] 12, no. 1 (June 1, 2007): 19. http://dx.doi.org/10.24200/squjs.vol12iss1pp19-40.

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Learning systems are in the forefront of analytical investigation in the sciences. In the social sciences they occupy the study of complexity and strongly interactive world-systems. Sometimes they are diversely referred to as symbiotics and semiotics when studied in conjunction with logical expressions. In the mathematical sciences the methodology underlying learning systems with complex behavior is based on formal logic or systems analysis. In this paper relationally learning systems are shown to transcend the space-time domain of scientific investigation into the knowledge dimension. Such a knowledge domain is explained by pervasive interaction leading to integration and followed by continuous evolution as complementary processes existing between entities and systemic domains in world-systems, thus the abbreviation IIE-processes. This paper establishes a mathematical characterization of the properties of knowledge-induced process-based world-systems in the light of the epistemology of unity of knowledge signified in this paper by extensive complementarities caused by the epistemic and ontological foundation of the text of unity of knowledge, the prime example of which is the realm of the divine laws. The result is formalism in mathematical generalization of the learning phenomenon by means of an operator. This operator summarizes the properties of interaction, integration and evolution (IIE) in the continuum domain of knowledge formation signified by universal complementarities across entities, systems and sub-systems in unifying world-systems. The opposite case of ‘de-knowledge’ and its operator is also briefly formalized.
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SLOTA, MARTIN, JOÃO LEITE, and TERRANCE SWIFT. "Splitting and updating hybrid knowledge bases." Theory and Practice of Logic Programming 11, no. 4-5 (July 2011): 801–19. http://dx.doi.org/10.1017/s1471068411000317.

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AbstractOver the years, nonmonotonic rules have proven to be a very expressive and useful knowledge representation paradigm. They have recently been used to complement the expressive power of Description Logics (DLs), leading to the study of integrative formal frameworks, generally referred to ashybrid knowledge bases, where both DL axioms and rules can be used to represent knowledge. The need to use these hybrid knowledge bases in dynamic domains has called for the development of update operators, which, given the substantially different way DLs and rules are usually updated, has turned out to be an extremely difficult task. In Slota and Leite (2010b Towards Closed World Reasoning in Dynamic Open Worlds.Theory and Practice of Logic Programming, 26th Int'l. Conference on Logic Programming (ICLP'10) Special Issue10(4–6) (July), 547–564.), a first step towards addressing this problem was taken, and an update operator for hybrid knowledge bases was proposed. Despite its significance—not only for being the first update operator for hybrid knowledge bases in the literature, but also because it has some applications—this operator was defined for a restricted class of problems where only the ABox was allowed to change, which considerably diminished its applicability. Many applications that use hybrid knowledge bases in dynamic scenarios require both DL axioms and rules to be updated. In this paper, motivated by real world applications, we introduce an update operator for a large class of hybrid knowledge bases where both the DL component as well as the rule component are allowed to dynamically change. We introduce splitting sequences and splitting theorem for hybrid knowledge bases, use them to define a modular update semantics, investigate its basic properties, and illustrate its use on a realistic example about cargo imports.
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Doncescu, Andrei, Sebastien Regis, Katsumi Inoue, and Richard Emilion. "Analysis of New Aggregation Operators: Mean 3Π." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 6 (July 20, 2007): 561–69. http://dx.doi.org/10.20965/jaciii.2007.p0561.

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Knowledge based systems need to deal with aggregation and fusion of data with uncertainty. To use many sources of information in numerical forms for the purpose of decision or conclusion, systems suppose to have tools able to represent the knowledge in a mathematical form. One of the solutions is to use fuzzy logic operators. We present in this article an improvement of the triple Π operator introduced by Yager and Rybalov, which is calledmean3Π. Whereas triple Π is an operator completely reinforced, the presented operator is a mean operator, which makes it more robust to noise.
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BARNES, NICK, and ZHI-QIANG LIU. "KNOWLEDGE-BASED SHAPE-FROM-SHADING." International Journal of Pattern Recognition and Artificial Intelligence 13, no. 01 (February 1999): 1–23. http://dx.doi.org/10.1142/s0218001499000021.

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In this paper, we study the problem of recovering approximate shape from the shading of a three-dimensional object in a single image when knowledge about the object is available. The application of knowledge-based methods to low-level image processing tasks will help overcome problems that arise from processing images using a pixel-based approach. Shape-from-shading has generally been approached by precognitive vision methods where a standard operator is applied to the image based on assumptions about the imaging process and generic properties of what appears. This paper explores some advantages of applying knowledge and hypotheses about what appears in the image. The knowledge and hypotheses used here come from domain knowledge and edge-matching. Specifically, we are able to find solutions to some problems that cannot be solved by other methods and gain advantages in terms of computation speed over similar approaches. Further, we can fully automate the derivation of the approximate shape of an object. This paper demonstrates the efficacy of using knowledge in the basic operation of an early vision operator, and so introduces a new paradigm for computer vision that may be applied to other early vision operators.
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Delgrande, J., Y. Jin, and F. J. Pelletier. "Compositional Belief Update." Journal of Artificial Intelligence Research 32 (August 14, 2008): 757–91. http://dx.doi.org/10.1613/jair.2539.

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In this paper we explore a class of belief update operators, in which the definition of the operator is compositional with respect to the sentence to be added. The goal is to provide an update operator that is intuitive, in that its definition is based on a recursive decomposition of the update sentence's structure, and that may be reasonably implemented. In addressing update, we first provide a definition phrased in terms of the models of a knowledge base. While this operator satisfies a core group of the benchmark Katsuno-Mendelzon update postulates, not all of the postulates are satisfied. Other Katsuno-Mendelzon postulates can be obtained by suitably restricting the syntactic form of the sentence for update, as we show. In restricting the syntactic form of the sentence for update, we also obtain a hierarchy of update operators with Winslett's standard semantics as the most basic interesting approach captured. We subsequently give an algorithm which captures this approach; in the general case the algorithm is exponential, but with some not-unreasonable assumptions we obtain an algorithm that is linear in the size of the knowledge base. Hence the resulting approach has much better complexity characteristics than other operators in some situations. We also explore other compositional belief change operators: erasure is developed as a dual operator to update; we show that a forget operator is definable in terms of update; and we give a definition of the compositional revision operator. We obtain that compositional revision, under the most natural definition, yields the Satoh revision operator.
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Esra'a Alkafaween and Ahmad B. A. Hassanat. "Improving TSP Solutions Using GA with a New Hybrid Mutation Based on Knowledge and Randomness." Communications - Scientific letters of the University of Zilina 22, no. 3 (July 8, 2020): 128–39. http://dx.doi.org/10.26552/com.c.2020.3.128-139.

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Genetic algorithm (GA) is an efficient tool for solving optimization problems by evolving solutions, as it mimics the Darwinian theory of natural evolution. The mutation operator is one of the key success factors in GA, as it is considered the exploration operator of GA. Various mutation operators exist to solve hard combinatorial problems such as the TSP. In this paper, we propose a hybrid mutation operator called "IRGIBNNM", this mutation is a combination of two existing mutations; a knowledgebased mutation, and a random-based mutation. We also improve the existing “select best mutation” strategy using the proposed mutation. We conducted several experiments on twelve benchmark Symmetric traveling salesman problem (STSP) instances. The results of our experiments show the efficiency of the proposed mutation, particularly when we use it with some other mutations.
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Zhao, Jing, and Hang Zhang. "Solving Split Common Fixed-Point Problem of Firmly Quasi-Nonexpansive Mappings without Prior Knowledge of Operators Norms." Abstract and Applied Analysis 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/389689.

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Very recently, Moudafi introduced alternating CQ-algorithms and simultaneous iterative algorithms for the split common fixed-point problem concerned two bounded linear operators. However, to employ Moudafi’s algorithms, one needs to know a prior norm (or at least an estimate of the norm) of the bounded linear operators. To estimate the norm of an operator is very difficult, if it is not an impossible task. It is the purpose of this paper to introduce a viscosity iterative algorithm with a way of selecting the stepsizes such that the implementation of the algorithm does not need any prior information about the operator norms. We prove the strong convergence of the proposed algorithms for split common fixed-point problem governed by the firmly quasi-nonexpansive operators. As a consequence, we obtain strong convergence theorems for split feasibility problem and split common null point problems of maximal monotone operators. Our results improve and extend the corresponding results announced by many others.
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Tzannatos, Ernestos. "GMDSS Operability: The Operator-Equipment Interface." Journal of Navigation 55, no. 1 (January 2002): 75–82. http://dx.doi.org/10.1017/s037346330100162x.

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In this paper, the operability of the GMDSS is studied to identify those aspects that are hindering its successful use. Particular emphasis is placed upon the operator-equipment interface within the working environment of the ship's bridge. The results of a relevant survey, based on the opinion of recently G.O. certified navigation officers, indicate that – despite the automation in GMDSS and the resulting reduction of the human factor – there is a definite need to improve the knowledge-based proficiency of the operator. The current design of the system, and the increasing workload on the ship's bridge, constitute the main drawbacks to operability and dictate the requirement for improved knowledge and hence improved certification and refresher training for operators.
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Dissertations / Theses on the topic "Knowledge operator"

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Richardson, Nona Elizabeth. "An operator induction tool supporting knowledge engineering in planning." Thesis, University of Huddersfield, 2008. http://eprints.hud.ac.uk/id/eprint/2607/.

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Within the field 'artificial intelligence' are many disciplines, one of which is planning. Planning seeks to find a suitable sequence of actions to carry out a task specified as a set of initial states for the objects involved in the actions and a required goal state. To do this the system has to have enough knowledge about the 'world' in the form of a planning domain model The process of constructing a planning domain model requires knowledge engineering. The structuring of the knowledge is important and hand-coding a domain model is a tedious and error-prone process. Static knowledge in the domain requires little update but the same cannot be said for the dynamic knowledge.
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Grosse, Philippe. "Application of knowledge engineering techniques for managing operational expertise of transmission network operator." Thesis, University of Strathclyde, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249049.

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Sjö, Kristoffer. "Semantics and Implementation of Knowledge Operators in Approximate Databases." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2438.

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In order that epistemic formulas might be coupled with approximate databases, it is necessary to have a well-defined semantics for the knowledge operator and a method of reducing epistemic formulas to approximate formulas. In this thesis, two possible definitions of a semantics for the knowledge operator are proposed for use together with an approximate relational database:

* One based upon logical entailment (being the dominating notion of knowledge in literature); sound and complete rules for reduction to approximate formulas are explored and found not to be applicable to all formulas.

* One based upon algorithmic computability (in order to be practically feasible); the correspondence to the above operator on the one hand, and to the deductive capability of the agent on the other hand, is explored.

Also, an inductively defined semantics for a"know whether"-operator, is proposed and tested. Finally, an algorithm implementing the above is proposed, carried out using Java, and tested.

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Bhatnagar, Rajiv. "A knowledge-based operator advisor system for integration of fault detection, control, and diagnosis to enhance the safe and reliable operation of nuclear power plants /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu148767110830585.

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Almeida, Neto Honor Affonso de. "Gestão do conhecimento aplicada à gestão de riscos: aplicação do operador epistemológico tácido aos conceitos de Basiléiia II." reponame:Repositório Institucional do FGV, 2006. http://hdl.handle.net/10438/5515.

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Made available in DSpace on 2010-04-20T20:19:54Z (GMT). No. of bitstreams: 1 136780.pdf: 669824 bytes, checksum: c85231b3373996dd2bee8e6edd81f99c (MD5) Previous issue date: 2006-04-20T00:00:00Z
This paper aims to provide a vision on the impact of the deployment of the Epistemological Tacit Operator, a tool of Knowledge Management, on the banking activity, through a case study. Particularly, it analyses the use and consequences to improve the Organizational Intelligence. Starting with a vision of Knowledge Management, it demonstrates the importance of the human being as the center of the Organizational Intelligence, in a cognitive way little seen on the literature, dominated by examples of Information Technology. It considers Organizational Intelligence must be exercised in context of action, since 'it's not enough to state that Intelligence is the most important asset of an organization, it's imperative that this statement be transformed in strategies and plans to achieve better performance'. The formulation of strategy is the own exercise of intelligence, since it deals with the choices of the organization and the nurturing of its competences. At last, a case study is made on the Epistemological Tacit Operator to consolidate the knowledge of a financial institution and propose new strategies of risk management necessary for Basel II requirements.
Este trabalho visa prover uma visão sobre o impacto da implementação do Operador Epistemológico Tácito, ferramenta de Gestão do Conhecimento, na atividade bancária através de um estudo de caso. Em especial, analisa o uso e suas conseqüências para a melhoria da Inteligência Organizacional. Começando por uma visão de Gestão do Conhecimento, demonstra a importância do ser humano como epicentro da Inteligência Organizacional, numa abordagem cognitivista pouco explorada na literatura, dominada por exemplos de Tecnologia de Informação. Considera-se que a Inteligência Organizacional deve ser exercida no contexto da ação, pois 'não basta somente afirmar que a inteligência é o ativo mais importante de uma organização, é imperativo que essa afirmação se transforme em estratégias e planos para atingir um melhor desempenho'. A formulação da estratégia é o próprio exercício da inteligência, pois lida com as escolhas da organização e o amadurecimento de suas competências. Por fim, faz-se um estudo de caso do Operador Epistemológico Tácito para a consolidação do conhecimento de uma instituição financeira e proposição de novas estratégias de gestão de risco advindas dos requerimentos de Basiléia II.
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Grant, Timothy John. "Inductive learning of knowledge-based planning operators." [Maastricht : Maastricht : Rijksuniversiteit Limburg] ; University Library, Maastricht University [Host], 1996. http://arno.unimaas.nl/show.cgi?fid=6686.

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Alqatawni, Tahsen H. "Relationship between Financial Knowledge and Business Performance for Truck Owner-Operators." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2047.

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Owner-operator lack of knowledge about financial and operation costs is a serious impediment to business survival. The purpose of this correlational study was to examine the relationship between the knowledge of financial and operational costs among trucking owner-operators and their business performance. The theoretical framework for the study was the resource-based theory and knowledge gap theory. A convenience sample of 78 owner-operator truckers across the United States participated in this study. The response rate was 17% for a web-based survey that was distributed to owner-operators in Facebook, and 83% for the paper-based surveys from the owner-operators who were visiting more than 10 truck stops in Delaware, Maryland, New Jersey, and Pennsylvania. The findings from multiple linear regression analysis indicated a significant relationship between the trucking owner-operators' financial knowledge, operational costs knowledge, and financial performance. A significant relationship also existed between the financial knowledge of trucking owner-operators, operational costs knowledge, and nonfinancial performance. The findings of this study provide the owner-operator with a better understanding of factors that relate to business performance, which may inform their reasons for successes and failures. The implications for social change will occur if the failure rate of owner-operators declines and the opportunities for sustainable businesses increase. Sustainable owner-operator performance could lead to higher employment by the trucking industry and contribute to a better economy
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Chen, Bing Hui. "Feature extraction and knowledge discovery in process operation analysis." Thesis, University of Leeds, 1998. http://etheses.whiterose.ac.uk/626/.

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An integrated framework for process monitoring is developed in this study which consists of three components: (1) feature extraction from dynamic transient signals using multiscale wavelet transform; (2) operational state identification using unsupervised and recursive learning methods; and (3) automatic extraction of knowledge rules from process operational data and embedding of the extracted knowledge in the structure and weights of fuzzy-neural networks. The methodologies and the prototype system which have been developed are illustrated and evaluated using data collected from a dynamic simulator of a refinery catalytic cracking process. Methods for pre-processing dynamic transient signals for feature extraction, dimension reduction and noise removal are investigated and a new method is developed which makes use of wavelet transform to determine the singularities and irregularities of a dynamic transient signal by identifying the extrema from wavelet multiresolution analysis. The method is able to reduce the dimensionality of the data and removes noise components in a single step as well as capturing the most significant components of the dynamic response. A modified version of the unsupervised neural network ART2, designated ARTNET, has been developed which uses wavelet feature extraction to provide a substitution of the data pre-processing part of ART2. ARTNET is shown to be more effective in avoiding the adverse effects of noise, less sensitive to user defined parameters and faster in computation, as well as still retaining the advantages of unsupervised and recursive learning. Based on this, a fuzzy neural network is developed which is able to automatically extract knowledge rules from process data. The knowledge rules which are generated are transparent and explicit to operators. The method is therefore able to bridge the gap between numerical data and qualitative knowledge and takes advantage of the features of neural networks for capturing concepts and so provides an effective and robust method for learning knowledge from process data. Various methods for integrating different facets of a problem, and making use of this information in parallel to mutually compensate for drawbacks of any single approach are also exploited. Data obtained from a dynamic simulator of a refinery fluid catalytic cracking process (FCC) has been used to illustrate the methodologies and to evaluate a prototype system for using these new approaches. FCC provides a very useful case study because of the highly non-linear dynamics arising from the strong interactions between the reactor and fluidised bed regenerator derived from the mass and momentum balance. The use of simulation data makes it possible to look at the results in detail so that the methods can be fully tested. The case studies illustrate the potential of the methods developed.
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Strass, Hannes. "Approximating Operators and Semantics for Abstract Dialectical Frameworks." Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-102943.

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We provide a systematic in-depth study of the semantics of abstract dialectical frameworks (ADFs), a recent generalisation of Dung\'s abstract argumentation frameworks. This is done by associating with an ADF its characteristic one-step consequence operator and defining various semantics for ADFs as different fixpoints of this operator. We first show that several existing semantical notions are faithfully captured by our definition, then proceed to define new ADF semantics and show that they are proper generalisations of existing argumentation semantics from the literature. Most remarkably, this operator-based approach allows us to compare ADFs to related nonmonotonic formalisms like Dung argumentation frameworks and propositional logic programs. We use polynomial, faithful and modular translations to relate the formalisms, and our results show that both abstract argumentation frameworks and abstract dialectical frameworks are at most as expressive as propositional normal logic programs.
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Callaghan, James. "The implementation and operation of Intranets and Extranets : three case studies." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368610.

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Books on the topic "Knowledge operator"

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Ship knowledge: Covering ship design, construction and operation. 2nd ed. The Netherlands: DOKMAR, 2005.

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Stone, Vicki L. The desktop operator's knowledge assessment and performance examinations. Pittsburg, Pa: Graphic Arts Technical Foundation, 1995.

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Nix, Stephan J. Knowledge-based expert systems in water utility operation and management. Denver, CO: American Water Works Association Research Foundation, 1989.

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Nilmini, Wickramasinghe, ed. Redesigning innovative healthcare operation and the role of knowledge management. Hershey, PA: Medical Information Science Reference, 2010.

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Chapman, John W. M. Richard Sorge, the GRU and the Pacific War. GB Folkestone: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9781912961085.

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Sorge’s activities between 1930 and 1942 have tended to be lauded as those of a superlative human intelligence operator and the Soviet Union’s GRU (Soviet military intelligence unit) as the optimum of spy-masters. Although it was unusual for a great deal of inside knowledge to be obtained from the Japanese side, most attention has always been paid on the German side to the roles played by representatives of the German Army in Japan. This book, supported by extensive notes and a bibliography, by contrast, highlights the friendly relations between Sorge and Paul Wenneker, German naval attaché in Japan from 1932 to 1937 and 1940–45. Wenneker, from extensive and expanding contacts inside the Japanese Navy (and also concealed contacts with the Japanese Army) supplied Sorge with key information on the depth of rivalry between the Japanese armed services.
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Williams, Jeremy C. A review of the state of knowledge and of current practice in selection techniques for process operators. London: HMSO, 1993.

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Macfadyen, Brian. A knowledge engineering approach to aspects of operation planning for the machining of turbine discs. Manchester: UMIST, 1992.

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Sturrock, Fiona Elizabeth. An approach for the development of diagnostic interface support in nuclear power plant operation based on the identification and classification of knowledge requirements. Birmingham: University of Birmingham, 1999.

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Hayes-Roth, Barbara. An architecture for adaptive intelligent systems. Stanford, Calif: Stanford University, Dept. of Computer Science, 1993.

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Office, General Accounting. Defense acquisitions: Knowledge of software suppliers needed to manage risks : report to congressional requesters. Washington, D.C. (P.O. Box 37050, Washington 20013): U.S. General Accounting Office, 2004.

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Book chapters on the topic "Knowledge operator"

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Kempson, Ruth. "Input Systems, Anaphora, Ellipsis and Operator Binding." In Knowledge and Language, 51–78. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1842-2_4.

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Zheng, Suhua, Xiaodong Liu, and Fenglan Xiong. "The Comparative Study of Logical Operator Set and Its Corresponding General Fuzzy Rough Approximation Operator Set." In Fuzzy Systems and Knowledge Discovery, 53–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539506_7.

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Prema Kirubakaran, A., and I. V. Murali Krishna. "Pipeline Crack Detection Using Mathematical Morphological Operator." In Knowledge Computing and its Applications, 29–46. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8258-0_2.

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Katerinakis, Theodoros. "The Voice as Knowledge Operator of Choice." In Innovation, Technology, and Knowledge Management, 137–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91014-7_6.

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Aribi, Noureddine, Abdelkader Ouali, Yahia Lebbah, and Samir Loudni. "Equitable Conceptual Clustering Using OWA Operator." In Advances in Knowledge Discovery and Data Mining, 465–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93040-4_37.

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Su, Youan, and Katsuhiko Sano. "Logics for Knowability Paradox with a Non-normal Possibility Operator." In Knowledge, Proof and Dynamics, 51–72. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2221-5_4.

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Manrique, Daniel, Fernando Márquez, Juan Ríos, and Alfonso Rodríguez-Patón. "Grammar Based Crossover Operator in Genetic Programming." In Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach, 252–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499305_26.

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Carreira, Paulo, Helena Galhardas, João Pereira, and Antónia Lopes. "Data Mapper: An Operator for Expressing One-to-Many Data Transformations." In Data Warehousing and Knowledge Discovery, 136–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11546849_14.

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Michalak, Krzysztof. "Crossover Operator Using Knowledge Transfer for the Firefighter Problem." In Intelligent Data Engineering and Automated Learning – IDEAL 2018, 305–16. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03493-1_33.

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Clancey, William J., and Monique Barbanson. "Using the System-Model-Operator Metaphor for Knowledge Acquisition." In Second Generation Expert Systems, 456–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77927-5_20.

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Conference papers on the topic "Knowledge operator"

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Zinser, Klaus, and Claus Weisang. "Graphics and Knowledge-Based Operator Support." In Expert Systems and Computer Simulation in Energy Engineering: Selected Papers from the Second International Forum. Connecticut: Begellhouse, 1992. http://dx.doi.org/10.1615/ichmt.1992.expsystcomputsimenergengin.180.

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Zinser, Klaus, and Claus Weisang. "GRAPHICS AND KNOWLEDGE-BASED OPERATOR SUPPORT." In Second International Forum on Expert System and Computer Simulation in Energy Engineering. Connecticut: Begellhouse, 1992. http://dx.doi.org/10.1615/ichmt.1992.intforumexpsyscompsimee.170.

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Okada, Ryotaro, Takafumi Nakanishi, and Takashi Kitagawa. "A Method of Knowledge Creation and Knowledge Utilization by Generalized Inverse Operator." In 2014 IIAI 3rd International Conference on Advanced Applied Informatics (IIAIAAI). IEEE, 2014. http://dx.doi.org/10.1109/iiai-aai.2014.60.

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Hu, Yang, Yiwen Ding, Feng Xu, Jiayi Liu, Wenjun Xu, and Hao Feng. "Knowledge Recommendation System for Human-Robot Collaborative Disassembly Using Knowledge Graph." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-64642.

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Abstract In recent years, more and more attention has been paid to Human-Robot Collaborative Disassembly (HRCD) in the field of industrial remanufacturing. Compared with the traditional manufacturing, HRCD helps to improve the manufacturing flexibility with considering the manufacturing efficiency. In HRCD, knowledge could be obtained from the disassembly process and then provides useful information for the operator and robots to execute their disassembly tasks. Afterwards, a crucial point is to establish a knowledge-based system to facilitate the interaction between human operators and industrial robots. In this context, a knowledge recommendation system based on knowledge graph is proposed to effectively support Human-Robot Collaboration (HRC) in disassembly. A disassembly knowledge graph is constructed to organize and manage the knowledge in the process of HRCD. After that, based on this, a knowledge recommendation procedure is proposed to recommend disassembly knowledge for the operator. Finally, the case study demonstrates that the developed system can effectively acquire, manage and visualize the related knowledge of HRCD, and then assist the human operator to complete the disassembly task by knowledge recommendation, thus improving the efficiency of collaborative disassembly. This system could be used in the human-robot collaboration disassembly process for the operators to provide convenient knowledge recommendation service.
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Wei, Gui-Wu, and Wen-De Yi. "Uncertain Linguistic Hybrid Geometric Mean Operator." In Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007). IEEE, 2007. http://dx.doi.org/10.1109/fskd.2007.597.

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Kennedy, Levi, Jessee R. McClelland, and Joshua R. Walters. "Incorporation of operator knowledge for improved HMDS GPR classification." In SPIE Defense, Security, and Sensing, edited by J. Thomas Broach and John H. Holloway. SPIE, 2012. http://dx.doi.org/10.1117/12.918481.

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Xu, Ke, Jianzhong Zhou, Ran Gu, and Hui Qin. "The Compound Consistency Induced Ordered Weighted Averaging operator and its application to reservoir operation." In 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569569.

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Wei, Gui-Wu, and Wen-De Yi. "Trapezoid Fuzzy Linguistic Weighted Geometric Averaging Operator." In Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007). IEEE, 2007. http://dx.doi.org/10.1109/fskd.2007.594.

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Wei, Guiwu, and Wende Yi. "Induced Interval-Valued Intuitionistic Fuzzy OWG Operator." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.577.

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Wei, Guiwu, and Rui Lin. "Dynamic Uncertain Linguistic Weighted Geometric Mean Operator." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.579.

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Reports on the topic "Knowledge operator"

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Howse, William R. Knowledge, Skills, Abilities, and Other Characteristics for Remotely Piloted Aircraft Pilots and Operators. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada552499.

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Biron, H. C., Lisa M. Burkman, and Norman Warner. A Re-Analysis of the Collaborative Knowledge Transcripts from a Noncombatant Evacuation Operation Scenario: The Next Phase in the Evolution of a Team Collaboration Model. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada482935.

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Wandji, Dieunedort, Jeremy Allouche, and Gauthier Marchais. Vernacular Resilience: An Approach to Studying Long-Term Social Practices and Cultural Repertoires of Resilience in Côte d’Ivoire and the Democratic Republic of Congo. Institute of Development Studies (IDS), April 2021. http://dx.doi.org/10.19088/steps.2021.001.

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This working paper aims to situate our research project within the various debates around resilience. It advocates a historical, cultural and plural approach to understanding how communities develop and share resilient practices in contexts of multiple and protracted crises. A focus on ‘vernacular’ resilience, as embedded in social practices and cultural repertoires, is important since conventional approaches to resilience seem to have overlooked how locally embedded forms of resilience are socially constructed historically. Our approach results from a combination of two observations. Firstly, conventional approaches to resilience in development, humanitarian and peace studies carry the limitations of their own epistemic assumptions – notably the fact that they have generic conceptions of what constitutes resilience. Secondly, these approaches are often ahistorical and neglect the temporal and intergenerational dimensions of repertoires of resilience. In addition to observable social practices, culture and history are crucial in understanding the ways in which vernacular and networked knowledge operates.
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Wandji, Dieunedort, Jeremy Allouch, and Gauthier Marchais. Vernacular Resilience: An Approach to Studying Long-Term Social Practices and Cultural Repertoires of Resilience in Côte d’Ivoire and the Democratic Republic of Congo. Institute of Development Studies (IDS), May 2021. http://dx.doi.org/10.19088/steps.2021.002.

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This working paper aims to situate our research project within the various debates around resilience. It advocates a historical, cultural and plural approach to understanding how communities develop and share resilient practices in contexts of multiple and protracted crises. A focus on ‘vernacular’ resilience, as embedded in social practices and cultural repertoires, is important since conventional approaches to resilience seem to have overlooked how locally embedded forms of resilience are socially constructed historically. Our approach results from a combination of two observations. Firstly, conventional approaches to resilience in development, humanitarian and peace studies carry the limitations of their own epistemic assumptions – notably the fact that they have generic conceptions of what constitutes resilience. Secondly, these approaches are often ahistorical and neglect the temporal and intergenerational dimensions of repertoires of resilience. In addition to observable social practices, culture and history are crucial in understanding the ways in which vernacular and networked knowledge operates.
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Teräs, Jukka, Anna Berlina, and Mari Wøien Meijer. The Nordic Thematic Group for Innovative and Resilient Regions 2017–2020 - final report. Nordregio, January 2021. http://dx.doi.org/10.6027/r2021:3.1403-2503.

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The Nordic thematic group for innovative and resilient regions 2017–2020 (TG2) was established by the Nordic Council of Ministers and is a part of the Nordic Co-operation Programme for Regional Development and Planning 2017–2020. Three Nordicthematic groups were established for the four-year period: Innovative and resilient regions, Sustainable rural development, and Sustainable cities and urban development. The thematic groups have been organised under the Nordic Council of Ministers’ Committee of Civil Servants for Regional Affairs, and Nordregio has acted as the secretariat for the thematic groups. This report summarises the work and results of the Nordic thematic group for innovative and resilient regions (TG2) in 2017–2020. The thematic group has not only produced high-quality research on innovative and resilient regions in the Nordic countries but also contributed to public policy with the latest knowledge on the creation and development of innovative and resilient regions across the nordic countries, with focus on smart specialisation, digitalisation, regional resilience, and skills policies. TG2 has also contributed to research on innovative and resilient regions in the Nordic cross-border context.
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Saha, Amrita, Jodie Thorpe, Keir Macdonald, and Kelbesa Megersa. Linking Business Environment Reform with Gender and Inclusion: A Study of Business Licensing Reform in Indonesia. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/k4d.2021.001.

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Business environment reform (BER) targets inadequate business regulations. It is intended to remove constraints to business investment, enabling growth and job creation, and create opportunities for international business to contribute to and benefit from this growth. However, there is a lack of detailed knowledge of the impact of BER on gender and inclusion (G&I). While a review of existing literature suggests that in general, there is no direct link between BER and G&I, indirect links are likely through the influence of BER on firm performance. Outcomes will be influenced by the differential ways in which women-led firms experience the business environment when compared to their male counterparts, with disparities based on how they are treated under the law, as well as structural and sociocultural factors. The fact that in many countries, female-led firms are fewer and smaller than those of their male counterparts, and may operate in different sectors, also affects these dynamics. This research offers new insights through an in-depth analysis of the impact of the Pelayanan Terpadu Satu Pintu (PTSP) or one-stop shop business licensing reform in 2009 on firm performance in Indonesia, and how these impacts vary based on the gender of firm leadership. The results find that on average, firms benefited from improved business performance (sales), as a direct or indirect effect of this reform, as well as an increase in the number of medium and large-scale firms. Outside Jakarta (Bali, Banten, Lampung), women-led firms experienced a small but significant benefit relative to male-led firms, related to both sales and the number of medium and large-scale firms they run. In Jakarta, women-led firms continued to lag behind men and there were no significant effects on employment, and this held across province and gender. These findings are based on an analysis of the PTSP reform using data from the World Bank Enterprise Survey (WBES), a survey of small, medium and large firms (i.e. with more than four employees) which took place in Indonesia between 2009 and 2015.
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Aalto, Juha, and Ari Venäläinen, eds. Climate change and forest management affect forest fire risk in Fennoscandia. Finnish Meteorological Institute, June 2021. http://dx.doi.org/10.35614/isbn.9789523361355.

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Forest and wildland fires are a natural part of ecosystems worldwide, but large fires in particular can cause societal, economic and ecological disruption. Fires are an important source of greenhouse gases and black carbon that can further amplify and accelerate climate change. In recent years, large forest fires in Sweden demonstrate that the issue should also be considered in other parts of Fennoscandia. This final report of the project “Forest fires in Fennoscandia under changing climate and forest cover (IBA ForestFires)” funded by the Ministry for Foreign Affairs of Finland, synthesises current knowledge of the occurrence, monitoring, modelling and suppression of forest fires in Fennoscandia. The report also focuses on elaborating the role of forest fires as a source of black carbon (BC) emissions over the Arctic and discussing the importance of international collaboration in tackling forest fires. The report explains the factors regulating fire ignition, spread and intensity in Fennoscandian conditions. It highlights that the climate in Fennoscandia is characterised by large inter-annual variability, which is reflected in forest fire risk. Here, the majority of forest fires are caused by human activities such as careless handling of fire and ignitions related to forest harvesting. In addition to weather and climate, fuel characteristics in forests influence fire ignition, intensity and spread. In the report, long-term fire statistics are presented for Finland, Sweden and the Republic of Karelia. The statistics indicate that the amount of annually burnt forest has decreased in Fennoscandia. However, with the exception of recent large fires in Sweden, during the past 25 years the annually burnt area and number of fires have been fairly stable, which is mainly due to effective fire mitigation. Land surface models were used to investigate how climate change and forest management can influence forest fires in the future. The simulations were conducted using different regional climate models and greenhouse gas emission scenarios. Simulations, extending to 2100, indicate that forest fire risk is likely to increase over the coming decades. The report also highlights that globally, forest fires are a significant source of BC in the Arctic, having adverse health effects and further amplifying climate warming. However, simulations made using an atmospheric dispersion model indicate that the impact of forest fires in Fennoscandia on the environment and air quality is relatively minor and highly seasonal. Efficient forest fire mitigation requires the development of forest fire detection tools including satellites and drones, high spatial resolution modelling of fire risk and fire spreading that account for detailed terrain and weather information. Moreover, increasing the general preparedness and operational efficiency of firefighting is highly important. Forest fires are a large challenge requiring multidisciplinary research and close cooperation between the various administrative operators, e.g. rescue services, weather services, forest organisations and forest owners is required at both the national and international level.
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Knowledge and abilities catalog for nuclear power plant operators: Pressurized water reactors. Revision 1. Office of Scientific and Technical Information (OSTI), August 1995. http://dx.doi.org/10.2172/108167.

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Knowledge and abilities catalog for nuclear power plant operators: Boiling water reactors, Revision 1. Office of Scientific and Technical Information (OSTI), August 1995. http://dx.doi.org/10.2172/105053.

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Knowledges and abilities catalog for nuclear power plant operators: Savannah River Site (SRS) production reactors. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/10137159.

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