Search results for "decision support"

showing 10 items of 377 documents

Hume’s guillotine and intelligent technologies

2021

AbstractEmerging intelligent society shall change the way people are organised around their work and consequently also as a society. One approach to investigating intelligent systems and their social influence is information processing. Intelligence is information processing. However, factual and ethical information are different. Facts concern true vs. false, while ethics is about what should be done. David Hume recognised a fundamental problem in this respect, which is that facts can be used to derive values. His answer was negative, which is critical for developing intelligent ethical technologies. Hume’s problem is not crucial when values can be assigned to technologies, i.e. weak ethic…

Cognitive scienceHume’s guillotineweak and strong ethical AItietoteoriaIntelligent decision support systemInformation processingComputational intelligenceCognitionWeak and strong ethical AItekoälyarvot (käsitykset)Work (electrical)processing ethical informationObstacleHuman resource managementProcessing ethical informationetiikkaPsychologyGeneral Economics Econometrics and FinanceSocial influenceResearch Article
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Modelling swarm-intelligent systems for medical applications

2017

Modeling swarm intelligent systems has attracted attention of researchers over the last decade, as the attributes such as self-organization, self-regulation or collective behavior exhibited by the system entities while following a certain set of rules, can be implemented with the aim at investigating complexity of the problems that an individual would be unable to tackle in real world. In this keynote paper, meta-heuristics and paradigms of modeling swarm-intelligent systems will be discussed with respect to their application areas for medical purposes.

Collective behaviorswarm intelligenceComputer sciencebusiness.industryIntelligent decision support systemCollective intelligenceSwarm behaviourcollective intelligencebioinformaticsSwarm intelligenceSet (abstract data type)modeling medical systemsApplication areasArtificial intelligencebusiness2017 Twelfth International Conference on Digital Information Management (ICDIM)
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A DSS for Strategic Planning

2005

This chapter presents an innovative approach for assisting entrepreneurs in making long term capacity decisions in Advanced Manufacturing Systems (AMSs). AMSs require high investment costs in manufacturing equipment, human resources and technology knowledge. Such high investments together with the wideness and the variability of the competition scenario contribute to increase the perception of the risk for industrial entrepreneurs especially in SMEs. This problem could be approached by providing the entrepreneur with a Decision Support System (DSS) able to assist her/him in making long term capacity decision in AMS. The DSS proposed in this chapter allows the entrepreneur to plan its produc…

Competition (economics)Strategic planningFlexibility (engineering)Decision support systemProcess managementCapacity planningComputingMilieux_THECOMPUTINGPROFESSIONScope (project management)business.industryStrategic managementbusinessOutsourcing
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From Deep Learning to Deep University: Cognitive Development of Intelligent Systems

2018

Search is not only an instrument to find intended information. Ability to search is a basic cognitive skill helping people to explore the world. It is largely based on personal intuition and creativity. However, due to the emerged big data challenge, people require new forms of training to develop or improve this ability. Current developments within Cognitive Computing and Deep Learning enable artificial systems to learn and gain human-like cognitive abilities. This means that the skill how to search efficiently and creatively within huge data spaces becomes one of the most important ones for the cognitive systems aiming at autonomy. This skill cannot be pre-programmed, it requires learning…

Computational creativityComputer sciencemedia_common.quotation_subjectBig dataCognitive computingsyväoppiminen02 engineering and technologycomputational creativity020204 information systems0202 electrical engineering electronic engineering information engineeringCognitive developmentCognitive skillmedia_commonexploratory searchbusiness.industryIntelligent decision support systemdeep learningCognitionCreativityData sciencecognitive systemdeep university020201 artificial intelligence & image processingkognitiivinen kehitysbusinessAutonomyIntuition
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V I G — A Visual and Dynamic Decision Support System for Multiple Objective Linear Programming

1989

In this paper we describe the principles of VIG (Visual Interactive Goal Programming), a Multiple Criteria Decision Support System, recently developed by Korhonen. PARETO RACE is a corner-stone of this system, which is designed to support both the modelling and solving of a multiple objective linear programming problem. The interface is based on one main menu, spreadsheets, and interactive use of computer graphics. VIG provides the decision-maker with the possibility to approach his/her decision problem by using an “evolutionary approach”. This means that the decision-maker does not have to specify the model precisely prior to solving the problem. In fact, the model evolves progressively. W…

Computer graphicsDecision support systemMultiple objectiveLinear programmingbusiness.industryInterface (Java)Computer scienceGoal programmingPareto principleArtificial intelligenceDecision problembusiness
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Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine.

2020

The ever-increasing amount of biomedical data is enabling new large-scale studies, even though ad hoc computational solutions are required. The most recent Machine Learning (ML) and Artificial Intelligence (AI) techniques have been achieving outstanding performance and an important impact in clinical research, aiming at precision medicine, as well as improving healthcare workflows. However, the inherent heterogeneity and uncertainty in the healthcare information sources pose new compelling challenges for clinicians in their decision-making tasks. Only the proper combination of AI and human intelligence capabilities, by explicitly taking into account effective and safe interaction paradigms,…

Computer scienceDecision Support SystemsHealth InformaticsClinical decision support systemWorkflow03 medical and health sciencesClinical workflows Decision-making tasks Human-Computer Interaction Physician-centered design Precision medicineClinical0302 clinical medicineArtificial IntelligenceHumansClinical workflows030212 general & internal medicinePrecision Medicine030304 developmental biology0303 health sciencesbusiness.industryHuman intelligenceComputersPhysician-centered designUsabilityCognitionPrecision medicineDecision Support Systems ClinicalData scienceComputer Science ApplicationsVisualizationHuman-Computer InteractionWorkflowClinical workflows; Decision-making tasks; Human-Computer Interaction; Physician-centered design; Precision medicine; Artificial Intelligence; Computers; Humans; Workflow; Decision Support Systems Clinical; Precision MedicineDecision-making tasksDomain knowledgebusinessJournal of biomedical informatics
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Ethics in designing intelligent systems

2019

The idea of Hume’s guillotine contains the argument that one cannot derive values from facts. As intelligent systems operate with facts, Hume’s famous dilemma seems to contradict the very idea of being able to create ethical intelligent systems. In a closer look, ethics is a system of rules guiding actions. Actions always have factual or cognitive aspects, as well as evaluative or emotional aspects. Therefore, Hume’s juxtaposition of facts and norms is not well-founded. Instead of separating the facts and norms it should rather ask what kinds of facts are associated to what kinds of norms. Consequently, Hume’s guillotine sets no limits in processing ethical information, as one can combine f…

Computer scienceProcess (engineering)the probleme of relevanceIntelligent decision support systemCognitiondesigning intelligent systemsethicsEpistemologyDilemmaHume's guillotineappraisalArgumentFormal languageRelevance (law)
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Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection

2013

Road condition monitoring through real-time intelligent systems has become more and more significant due to heavy road transportation. Road conditions can be roughly divided into normal and anomaly segments. The number of former should be much larger than the latter for a useable road. Based on the nature of road condition monitoring, anomaly detection is applied, especially for pothole detection in this study, using accelerometer data of a riding car. Accelerometer data were first labeled and segmented, after which features were extracted by wavelet packet decomposition. A classification model was built using one-class support vector machine. For the classifier, the data of some normal seg…

Computer sciencebusiness.industryIntelligent decision support systemPattern recognitionMachine learningcomputer.software_genreWavelet packet decompositionSupport vector machineComputerSystemsOrganization_MISCELLANEOUSAnomaly detectionVehicle accelerationArtificial intelligencebusinesscomputerClassifier (UML)
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Decision Support Systems Based on CLP Approach in SMEs

2006

The paper focuses on a selected class of decision problems related with the production flow planning in SMEs, particularly in new production orders. Verification of orders gives a possibility to evaluate whether resources capacity of a manufacturer is balanced with the orderer's requirements. The class of decision problems under analysis is included in the scope of organizational production preparation and can be naturally determined by available CLP (Constraint Logic Programming) tools. The approach proposed in the paper is based on establishment of an interface which facilitates its task oriented use. The system has been presented on the basis of a sample order execution in a manufacturer…

Constraint logic programmingDecision support systemClass (computer programming)Operations researchScope (project management)Computer scienceInterface (Java)Constraint satisfaction problemDecision problemFlow planningDecision supportConstraint logic programmingSystems engineeringProduction (economics)Constraint satisfaction problem2006 IEEE Conference on Emerging Technologies and Factory Automation
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Action Research as a Proactive Research Method for Construction Engineering and Management

2010

Academic research in applied disciplines such as construction engineering and management (CEM) has the dual mission of simultaneously contributing to the solution of practical problems and creating theoretical and conceptual knowledge. To do so, appropriate research approaches are needed. However, extant literature in the field has paid little attention to this issue and research methods used have been almost entirely either quantitative surveys or case studies. In this paper, action research (AR) is proposed as an answer to this knowledge gap. AR aims at building and testing theory within the context of solving an immediate practical problem in a real setting. The paper describes the under…

Construction managementInformation managementDecision support systemEngineeringbusiness.industryStrategy and ManagementInformation technologyContext (language use)Building and ConstructionConstruction engineeringIndustrial relationsApplied researchAction researchProject managementbusinessCivil and Structural EngineeringJournal of Construction Engineering and Management
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