1 / 14

1 4 th Workshop on “Software Engineering Education and Reverse Engineering”

1 4 th Workshop on “Software Engineering Education and Reverse Engineering” Sinaia, Romania August 2 4 th – 3 0th 201 4. GoF design patterns applied to artificial intelligence methods Assist. Prof. Dr. Dušanka Bošković University of Sarajevo. Content.

rosalindaw
Download Presentation

1 4 th Workshop on “Software Engineering Education and Reverse Engineering”

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. 14th Workshop on “Software Engineering Education and Reverse Engineering” Sinaia, Romania August 24th– 30th 2014 GoF design patterns applied to artificial intelligence methods Assist. Prof. Dr. Dušanka BoškovićUniversity of Sarajevo

  2. Content • Background: Integrating Software Engineering and Artificial Intelligence • DP implementation cases • Conclusion

  3. Background • Benefits: • Fuzzy inferencing is suitable for solving real world problems: operating with fuzzy and non-complete data. • Adaptive systems development needs application of machine learning techniques. • Problems: • AI research focused to solving specific and particular problems, • SE distrust black-box approach and complexity of AI methods • Way to go: • AI: need to elevate abstraction level of solutions from a particular problem to a strategy that solves a class of problems • SE: It is not enough to embed AI method; integration of AI methods in SE processes and techniques

  4. Integrating AI and SE • Building generic models for AI • Agents and Multi-agent systems (MAS) • Reasoning - Fuzzy inferencing system (FIS) • Learning - Artificial neural networks (ANN)

  5. FIS model • Class diagram

  6. FIS model • Fuzzy set generalization

  7. ANN model • Class diagram • Feedforward NN with Backpropagation

  8. Design patterns • Factory

  9. Design patterns • Factory

  10. Design patterns • Strategy

  11. Design patterns • Composition

  12. JAVA - Design patterns • Iterator • Observer

  13. Conclusion • Bridging AI and SE • Making AI solutions understandible to SE • Introducing new examples for students

  14. Thank you for your attention  • Questions?

More Related