The book explores three primary approaches to improving software productivity and reliability: engineering, formal, and knowledge-based. It emphasizes that relying solely on one method is insufficient for achieving optimal results. Instead, it advocates for the integration of these diverse approaches, highlighting this integration as a significant area of research in the field.
InhaltsverzeichnisCognitive Systems.Natural Language Dialog with a Tutor System for Mathematical Proofs.On the Effectiveness of Visualizations in a Theory of Computing Course.Some Cognitive Aspects of a Turing Test for Children.Challenges in Search and Usage of Multi-media Learning Objects.An Intelligent Platform for Information Retrieval.P-Terse: A Peer-to-Peer Based Text Retrieval and Search System.Identifying Semantic Relations Between Named Entities from Chinese Texts.Research on English-Chinese Bi-directional Cross-Language Information Retrieval.Analyzing Image Texture from Blobs Perspective.Access to Content.Content-Based Image and Video Indexing and Retrieval.Shape Recognition with Coarse-to-Fine Point Correspondence Under Image Deformations.Towards Efficient Ranked Query Processing in Peer-to-Peer Networks.
Using AI for Movie Animation
We are both fans of watching animated stories. Every evening, before or after d- ner, we always sit in front of the television and watch the animation program, which is originally produced and shown for children. We find ourselves becoming younger while immerged in the interesting plot of the animation: how the princess is first killed and then rescued, how the little rat defeats the big cat, etc. But what we have found in those animation programs are not only interesting plots, but also a big chance for the application of computer science and artificial intelligence techniques. As is well known, the cost of producing animated movies is very high, even with the use of computer graphics techniques. Turning a story in text form into an animated movie is a long and complicated procedure. We came to the c- clusion that many parts of this process could be automated by using artificial - telligence techniques. It is actually a challenge and test for machine intelligence. So we decided to explore the possibility of a full life cycle automation of c- puter animation generation. By full life cycle we mean the generation process of computer animation from a children s story in natural language text form to the final animated movie. It is of course a task of immense difficulty. However, we decided to try our best and to see how far we could go.