1 / 17

Artificial Intelligence and Cognitive Modeling

Artificial Intelligence and Cognitive Modeling. Laboratory for Cognitive Modeling 4.11.2011. lkm.fri.uni -lj.si. Terminology, terminology…. Artificial Intelligence. Machine Learning. Data Mining. Cognitive Modeling. lkm.fri.uni-lj.si. Data model. Data modeling.

maj
Download Presentation

Artificial Intelligence and Cognitive Modeling

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Artificial Intelligence and Cognitive Modeling Laboratory for Cognitive Modeling 4.11.2011 lkm.fri.uni-lj.si

  2. Terminology, terminology… Artificial Intelligence Machine Learning Data Mining Cognitive Modeling lkm.fri.uni-lj.si

  3. Data model Datamodeling Differenttypesofdatafromdifferentsources Datamining Backgroundknowledge lkm.fri.uni-lj.si

  4. Modelsandtheiruse • Supervisedandunsupervisedmodeling • Model types: • decision trees and decision rules • artificialneuralnetworks • regressiontrees • nearestneighbors • associationrules • randomforests • … • Differentmodels, differentuse: • model structure (presentationoftherelationshipbetweeninputsandoutputs) • prediction • associations (relationships) betweeninputvalues • clustering • outlierdetection • … lkm.fri.uni-lj.si

  5. Example:applications in medical diagnostics and prognostics • modelingtheknowledge and skills of specialist physicians • using models for decision support • scintigraphy of the skeleton and heart, oncology, traumatology, … lkm.fri.uni-lj.si

  6. Medical diagnostics and prognostics • Input: background knowledge, descriptions of patients with subsequently confirmed diagnosis • How to diagnose? • How to predict the occurrence of a diseaseor itsrecurrence? • Very good results in specialized areas (significantly better than specialists). • What characteristics have the greatest impact on the disease? • What is the reliability of computer predictions (diagnosis and prognosis)? • How to explain predictions and bring them closer to doctors? lkm.fri.uni-lj.si

  7. Reliability estimation for medical diagnosis General methods for estimating the reliability of individual predictions are developed. lkm.fri.uni-lj.si

  8. Diagnosisexplanation General methods for explaining predictions are developed. lkm.fri.uni-lj.si

  9. Skeletalpathologydetection • Skeletalscintigraphy • Backgroundknowledge of human anatomy • Knowndiagnoses lkm.fri.uni-lj.si

  10. Diagnosis of coronary artery disease • Heart scintigraphy • Input data in the form of images • Medicalrecords • Reliabilityestimates lkm.fri.uni-lj.si

  11. Marketing • How do customers decide what products to buy? • How to arrange ads in an optimal way? • When is the best time to broadcast television ads? lkm.fri.uni-lj.si

  12. Advancedsportsanalysis • A basketballmatchsimulation • in collaboration with the Faculty of Sport in Ljubljana : • analysis of the impact of rules changes in 2010/11 season lkm.fri.uni-lj.si

  13. And more... • prediction market • clickstreamanalysis • predictionintervals • façadeanalysis lkm.fri.uni-lj.si

  14. Conclusion • Versatile applicability of artificial intelligence methods, especiallydatamining • ability to process large amounts of data • varietyofdatatypes • inclusion of background knowledge • However: Artificial Intelligence (still) is not intelligence lkm.fri.uni-lj.si

  15. Scientific and developmental competence We are the authors of numerous papers in scientific journals and books (over 700 citations) We regularly participate at scientific conferences and present our work We are members of editorial boards and program committees We have a long experience in the field of medicine, marketing, financial sector, telecommunications ... lkm.fri.uni-lj.si

  16. Collaboration with other institutions Institute ofOncologyAD ConsultingBion Institute Jožef Stefan Institute-departmentofknowledgetechnologiesStarcomThe Laboratory of NeuroendocrinologyClinicforNuclear Medicine IntensioFacultyofsports UniversityofHasselt ASCR Institute of Computer Science Universityof Porto Universityof Kragujevac UniversityofIoannina Universityof Malaga lkm.fri.uni-lj.si

  17. Who are we? Darko Pevec doc. dr. Zoran Bosnić izr. prof. dr. Marko Robnik Šikonja doc. dr. Matjaž Kukar prof. dr. Igor Kononenko dr. Erik Štrumbelj as. mag. Petar Vračar Domen Košir Miha Drole as. Matej Pičulin lkm.fri.uni-lj.si

More Related