'Modelling language' presentation slideshows

Automatic Effective Model Discovery

983 views • 85 slides

728 views • 53 slides

Comprehensibility of Model Representations

548 views • 43 slides

523 views • 40 slides

Knowledge Management using Business Process Modelling and Workflow Techniques

Knowledge Management using Business Process Modelling and Workflow Techniques. MSc in Artificial Intelligence. Student: Hsiang-Ling Kuo Supervisor: Jessica Chen-Burger Dave Robertson. Outline. Problem & Solution Aim Work Conclusion Future Work. Problem.

716 views • 39 slides

UNIVERSITY OF LINCOLN

UNIVERSITY OF LINCOLN. Systems and the Information Society Network. Spring Seminar series Purple group. Barnaby. David. Members of the PURPLE group. Critics of the PURPLE group. Original ASI.

478 views • 34 slides

Ontology Building Methodologies and Tools

563 views • 31 slides

COMP60621 Designing for Parallelism

COMP60621 Designing for Parallelism. Lecture 4 Promela, jSpin and the problem of Interference John Gurd, Graham Riley Centre for Novel Computing School of Computer Science University of Manchester. Introduction. Review of interference.

409 views • 30 slides

Validating Formal Models

Validating Formal Models. The Idea of Validation Internal Consistency Levels of type checking Proof Obligations Animation Systematic testing Proof Choosing a Validation Technique. The Idea of Validation.

402 views • 28 slides

Knowledge Sharing and Reuse in IBROW

Knowledge Sharing and Reuse in IBROW. Baseline Libraries and Web Technology. Contents of the Talk. KMI Baseline Library Contents, Organization, Use and Reuse Tool Support for browsing/editing library components Web-Onto, Tadzebao

405 views • 28 slides

IMS Learning Design in 2007

IMS Learning Design in 2007. Dai Griffiths CETIS, The University of Bolton. JISC-CETIS Educational Content SIG and Pedagogy Forum Liverpool Hope University, 26 th April 2007. IMS Learning Design in 2007. Some reflections on challenges facing IMS LD today

479 views • 25 slides

Pattern Formation in Synthetic Bacterial Colonies

Pattern Formation in Synthetic Bacterial Colonies. Fran Romero and Karima Righetti Research Fellow School of Computer Science University of Nottingham. Nottingham 18th of March 2010. Outline.

483 views • 23 slides

IMS1805 Systems Analysis

IMS1805 Systems Analysis. Topic 3: Doing Analysis (continued from previous weeks). Agenda. Aim: To extend analysis and model building techniques to include the object-oriented approach To show where O-O approaches fit within the world of IS analysis

339 views • 22 slides

An Introduction to Metamodelling Principles & Fundamentals Department of Computer Science,

An Introduction to Metamodelling Principles & Fundamentals Department of Computer Science, The University of York, Heslington, York YO10 5DD, England http://www.cs.york.ac.uk/~paige. Context of this work.

294 views • 20 slides

PDDL: A Language with a Purpose?

PDDL: A Language with a Purpose?. Lee McCluskey Department of Computing and Mathematical Sciences, The University of Huddersfield. Take Home Slide. Generally, language designers must be clear for what PUROSE their language is to be put.

272 views • 14 slides

PDDL and other languages..

PDDL and other languages. Lee McCluskey Department of Computing and Mathematical Sciences, The University of Huddersfield. Background. Related to AI Planning there are several kinds of knowledge that is required declaratively: Domain/environment Planning heuristics Task (input)

263 views • 14 slides

206 views • 13 slides

Some Explanations on JP-02 of CD2 MFI 10

Some Explanations on JP-02 of CD2 MFI 10. Masao OKABE Expert Contribution 2013/5/24. ISO/IEC JTC1/SC32/WG2 N1782. JP02 on CD2 MFI 10. Note Model <-contained_by-----contains-> Model_Element can be substituted by Model <-used_by-----uses-> Model_Element,

203 views • 8 slides

Modelling

187 views • 7 slides

Faculty of Information Technology

Traditional (Geometry-based) Modelling and Rendering. Model. Geometry Reflectance Light Sources. User Input texture maps, survey data. Modelling. Rendering. Images. For Photorealism:. Modelling is Hard. Rendering is Slow. Image-based Modelling and Rendering (IBMR).

144 views • 2 slides