Search results for "expert system"

showing 10 items of 85 documents

Obstacle Detection in an Unstructured Industrial Robotic System: Comparison of Hidden Markov Model and Expert System

2012

Abstract This paper presents a comparison of two approaches for detecting unknown obstacles inside the workspace of an industrial robot using a laser rangefinder for 2-D measurements. The two approaches are based on Expert System (ES) and Hidden Markov Model (HMM). The results presented in the paper demonstrate that both approaches are able to correctly detect and classify unknown objects. The ES is characterised by low computational requirements and an easy setup when relatively few known objects are to be included inside the workspace. HMMs are characterised by a higher flexibility and the ability to handle a larger amount of known objects inside the workspace. Another significant benefit…

Flexibility (engineering)Engineeringbusiness.industryContrast (statistics)General MedicineWorkspacecomputer.software_genreExpert systemlaw.inventionIndustrial robotlawObstacleCollision detectionComputer visionArtificial intelligencebusinessHidden Markov modelcomputerIFAC Proceedings Volumes
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IMPROVEMENTS IN THE SYSTEMS-BASED MODELS GENERATOR SIGEM

1994

Program generators, for us, are computer programs that produce other computer programs. SIGEM is an expert system program generator that can help in the modeling process of real systems. It is associated with a methodology well adapted to modeling practice. In this paper, we present and compare this methodology with other similar ones. Static models (databases), dynamic models, rule-based expert systems, literal and/or numerical variables, probabilistic uncertainty in data and in functions, dimensioned variables, discrete event simulation, and other related problems can be treated with this methodology. We suggest a systems modeling methodology and a programming tool to increase generality …

GeneralityGenerator (computer programming)Computer programComputer sciencebusiness.industryProcess (engineering)Probabilistic logicSystems modelingcomputer.software_genreIndustrial engineeringExpert systemArtificial IntelligenceArtificial intelligenceDiscrete event simulationbusinesscomputerSoftwareInformation SystemsCybernetics and Systems
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SYSTEMS DECOMPOSITION AND COUPLING

1993

In order to handle efficiently complex models of real systems, it is a convenient practice to decompose them into subsystems that are validated independently. The next step would be joining the subsystems into a global system and performing a new global validation. A formalization of this process is performed as a consequence of practical experience with a model generator expert system based on general systems theory.

Global systemReal systemsComputer scienceProcess (engineering)Control engineeringcomputer.software_genreExpert systemCoupling (computer programming)Systems theoryArtificial IntelligencecomputerAlgorithmSoftwareInformation SystemsGenerator (mathematics)Cybernetics and Systems
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Automated Creation of Expert Systems with the InteKRator Toolbox

2021

Expert systems have a long tradition in both medical informatics and artificial intelligence research. Traditionally, such systems are created by implementing knowledge provided by experts in a system that can be queried for answers. To automatically generate such knowledge directly from data, the lightweight InteKRator toolbox will be introduced here, which combines knowledge representation and machine learning approaches. The learned knowledge is represented in the form of rules with exceptions that can be inspected and that are easily comprehensible. An inference module allows for the efficient answering of queries, while at the same time offering the possibility of providing explanation…

Information retrievalKnowledge representation and reasoningComputer sciencebusiness.industryInferencecomputer.software_genrebusinesscomputerHealth informaticsExpert systemToolbox
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eWOM in reward-based crowdfunding platforms: a behavioral approach

2020

[EN] Electronic word of mouth (eWOM) plays a crucial role in influencing purchasing decisions of consumers in situations governed by asymmetric information. In this context, investors in reward-based crowdfunding platforms might modify their purchasing intentions according to recommendations of peers and/or experts. The goal of this paper is to analyze the power of eWOM to shape consumers’ purchasing decisions. We do so by conducting an experiment through Amazon Mechanical Turk (AMT). This online experimental tool allows for an instant access to a large and culturally diverse subject pool, facilitating behavioral research requiring large amounts of subjects. By recreating a reward-based cro…

InternetQcaKnowledge managementbusiness.industryWeb dataBig dataConferencePlsExperimental economicsCrowdsourcingcomputer.software_genreExpert systemBig dataExperimental economicsSemeWOMCrowdsourcingThe InternetChristian ministryCrowdfundingbusinesscomputerInternet dataCARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
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Solving NP-Complete Problems with Networks of Evolutionary Processors

2001

We propose a computational device based on evolutionary rules and communication within a network, similar to that introduced in [4], called network of evolutionary processors. An NP-complete problem is solved by networks of evolutionary processors of linear size in linear time. Some furher directions of research are finally discussed.

Knowledge basebusiness.industryComputer scienceEvolutionary algorithmQuantitative Biology::Populations and EvolutionArtificial intelligencebusinesscomputer.software_genreNP-completeTime complexitycomputerEvolutionary programmingExpert system
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A model to assess the behavioral impacts of consultative knowledge based systems

1997

This paper develops a research model to study the behavioral impacts of consultative knowledge based systems (KBS). An experiment was conducted with 36 experienced MBA students in marketing management to explore to what extent their decisions were affected by the following factors: user participation in updating the knowledge-base of the KBS, ambiguity of decision setting, routinization of usage, and source credibility of the expertise embedded in the KBS. Results show that ambiguity and source credibility affect user acceptance of the KBS recommendation and cause them to revise decisions. Implications of these findings for the design of consultative KBS are discussed.

Knowledge managementHigher educationImpact factorbusiness.industryComputer sciencemedia_common.quotation_subjectSource credibilityAmbiguityLibrary and Information SciencesManagement Science and Operations Researchcomputer.software_genreExpert systemComputer Science ApplicationsKnowledge-based systemsMarketing managementMedia TechnologyInformation systembusinesscomputerInformation Systemsmedia_commonInformation Processing & Management
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Analysis and validation in design time of distributed control systems implemented by means of rule based expert systems

2005

In this paper a new analytical method for control systems validation is presented. The control system will be implemented by means of expert systems based on rule nets, which are a formalism that seeks to express an automatism in a similar way to as would make it a human being: "IF antecedents THEN consequent". But at the same time rule nets are a tool for the design, analysis and implementation of rule based systems (RBS), and consist on a mathematic-logical structure which analytically reflects the set of rules that the human expert has designed. The validation consist on the analysis of the decisive rule nets properties in design time. This properties have been studied and formalized com…

Knowledge-based systemsCorrectnessValidation ruleAutomatic controlComputer scienceControl systemRule-based systemControl engineeringDistributed control systemcomputer.software_genrecomputerExpert systemThe Fourth International Conference on Control and Automation, 2003. ICCA. Final Program and Book of Abstracts.
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The Evonik-Mainz Eye Care-Study (EMECS): Development of an Expert System for Glaucoma Risk Detection in a Working Population

2015

Purpose To develop an expert system for glaucoma screening in a working population based on a human expert procedure using images of optic nerve head (ONH), visual field (frequency doubling technology, FDT) and intraocular pressure (IOP). Methods 4167 of 13037 (32%) employees between 40 and 65 years of Evonik Industries were screened. An experienced glaucoma expert (JW) assessed papilla parameters and evaluated all individual screening results. His classification into “no glaucoma”, “possible glaucoma” and “probable glaucoma” was defined as “gold standard”. A screening model was developed which was tested versus the gold-standard. This model took into account the assessment of the ONH. Valu…

MaleIntraocular pressureEye Diseasesgenetic structuresOptic disklcsh:MedicineGlaucomacomputer.software_genreNerve Fibers0302 clinical medicineCost of IllnessRisk FactorsAnimal CellsOdds RatioPrevalenceMedicine and Health SciencesMedicine030212 general & internal medicinelcsh:ScienceNeuronsMultidisciplinaryPharmaceuticsApplied MathematicsSimulation and ModelingMiddle AgedVisual fieldPhysical SciencesFemaleAnatomyCellular TypesAlgorithmsResearch ArticleAdultmedicine.medical_specialtyOptic DiskResearch and Analysis MethodsSensitivity and SpecificityDiagnosis DifferentialTonometry Ocular03 medical and health sciencesDrug TherapyOcular SystemOphthalmologyHumansWorking populationIntraocular PressureAgedbusiness.industrylcsh:RBiology and Life SciencesGlaucomaOptic NerveCell BiologyOdds ratioGold standard (test)medicine.diseaseeye diseasesExpert systemOphthalmologyCellular Neuroscience030221 ophthalmology & optometryVisual Field TestsEyesOptometrylcsh:Qsense organsVisual FieldsbusinessHeadcomputerMathematicsNeurosciencePLOS ONE
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A contribution to the linear programming approach to joint cost allocation: Methodology and application

2009

Abstract The linear programming (LP) approach has been commonly proposed for joint cost allocation purposes. Within a LP framework, the allocation rules are based on a marginal analysis. Unfortunately, the additivity property which is required to completely allocate joint costs fails in presence of capacity, institutional or environmental constraints. In this paper, we first illustrate that the non allocated part can be interpreted as a type of producer’s surplus. Then, by using the information contained in the Simplex tableau we propose an original two-stage methodology based on the marginal costs and the production elasticity of input factors to achieve an additive cost allocation pattern…

Marginal costMathematical optimizationCost allocationInformation Systems and ManagementSimplexGeneral Computer ScienceLinear programmingIterative methodManagement Science and Operations Researchcomputer.software_genreIndustrial and Manufacturing EngineeringExpert systemJoint costSimplex algorithmModeling and SimulationcomputerMathematicsEuropean Journal of Operational Research
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