'Case based reasoning' diaporamas de présentation

Quality Prediction for Component-Based Software Development: Techniques and A Generic Environment

Quality Prediction for Component-Based Software Development: Techniques and A Generic Environment. Presented by: Cai Xia Supervisor: Prof. Michael Lyu Examiners: Prof. Ada Fu Prof. K.F. Wong Dec. 17, 2001. Outline . Introduction

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Chapter 13

Chapter 13 . ADVANCED INTELLIGENT SYSTEMS. Learning Objectives. Understand machine-learning concepts Learn the concepts and applications of case-based systems Understand the concepts and applications of genetic algorithms

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Knowledge-based Systems

Knowledge-based Systems. Case-based Reasoning. Model-based KBS. KBS are one of the success stories of A I research It has been around 30 years since the first documented KBS and in that time the basic architecture of KBS has changed little

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Formal Representation and Reasoning

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Chapter 13

Chapter 13 . ADVANCED INTELLIGENT SYSTEMS. Learning Objectives. Understand machine-learning concepts Learn the concepts and applications of case-based systems Understand the concepts and applications of genetic algorithms

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Artificial life

Artificial life. Based on Luc Steels (1995). Subject. Study : research and synthesis towards the artificial life domain Context : limits of system expert growth of computer power cognition approach. Start point.

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Professor Joe Tah University of Salford

Knowledge-based decision support in integrated project modelling environments. Professor Joe Tah University of Salford. Presentation Content. Integrated Environments + Knowledge-bases Implementation of IFCs MAS Collaborative supply chain planning Conclusions. Integrated Environments.

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MANAGING KNOWLEDGE FOR THE DIGITAL FIRM

Chapter. 10. MANAGING KNOWLEDGE FOR THE DIGITAL FIRM. Presented by: Mahmoud R. Alfarra. ?????. ??? ???? ???? ??? ???? ???? ???? ?? ??? ??? ??? ???? ?????? ? ??? ???? ?????? , ?????? ?????? ??? ??????? ???? ????????. OBJECTIVES.

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MANAGING KNOWLEDGE FOR THE DIGITAL FIRM

10. Chapter. MANAGING KNOWLEDGE FOR THE DIGITAL FIRM. OBJECTIVES. Why do businesses today need knowledge management programs and systems for knowledge management? Which information system applications are most useful for distributing, creating, and sharing knowledge in the firm?

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MANAGING KNOWLEDGE FOR THE DIGITAL FIRM

Pertemuan 9. MANAGING KNOWLEDGE FOR THE DIGITAL FIRM. OBJECTIVES. Why do businesses today need knowledge management programs and systems for knowledge management? Which information system applications are most useful for distributing, creating, and sharing knowledge in the firm?

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COMP 4200: Expert Systems

COMP 4200: Expert Systems. Dr. Christel Kemke Department of Computer Science University of Manitoba. Reasoning in Expert Systems. knowledge representation in Expert Systems shallow and deep reasoning forward and backward reasoning alternative inference methods metaknowledge.

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STRATEGOS CASE-BASED STRATEGY DECISION MAKING

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Knowledge Management and Virtual Learning Learning machines support learning individuals

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SPECIFICATIONS OF AN INTELLIGENT MEDIATING MODEL FOR COLLABORATIVE e-LEARNING COURSEWARE SYSTEMS

SPECIFICATIONS OF AN INTELLIGENT MEDIATING MODEL FOR COLLABORATIVE e-LEARNING COURSEWARE SYSTEMS. By Dr. Caleb .O. Akanbi Information and Communication Technology Osun State University,Osogbo , Nigeria. Presentation Layout. Introduction Background System Architecture

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CBR Maintenance Analysis Engine Model Simulation Workflow Advisor Mobile Grid Support

The University of Sheffield DAME Team Prof Peter Fleming Prof Haydn Thompson Dr Visakan Kadirkamanathan Jeff Allan Max Ong Xiaoxu Ren Luka Eciolaza Alex Shenfield Muhammad Alkarouri. CBR Maintenance Analysis Engine Model Simulation Workflow Advisor Mobile Grid Support. Retrieve.

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Case Based Reasoning

Case Based Reasoning. Learning by recording cases as is, doing nothing to the information in the cases until that information is used. I give you a new box ? you tell me color. Feature space. CBR. Modify the solution of the closest similar case

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Case Based Reasoning

Case Based Reasoning. Learning by recording cases as is, doing nothing to the information in the cases until that information is used. I give you a new box ? you tell me color. Feature space. CBR. Modify the solution of the closest similar case

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Vision-Based Framing

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Further Information:

Binary bit weighting. Engine flight data. EU Airport. Airline office. US Airport. Grid. Diagnostics centre. Column Summing unit. Maintenance Centre. integer vector. US data center. EU data center. Thresholding unit. threshold type. threshold level. bit vector.

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