 | Automated Reasoning A real-time decision making ATP implementation by Tableaux, for governing a simple traffic situation. As part of a bachelor thesis in Automated Reasoning at Chalmers University of Technology. |
 | automated reasoning This video is about automated reasoning, a concept widely used in artificial intelligence |
 | CORE - Cooperative Reasoning for Automatic Software Verification Google Tech Talks June 4, 2008 ABSTRACT Speaker: Andrew Ireland Andrew Ireland graduated with a First Class Hons degree in Computing Science from the University of Stirling. Supported by a Carnegie Scholarship, he continued his studies at Stirling obtaining a PhD. He then moved to the University of Edinburgh, where he took up the post of teaching assistant within the then Department of Artificial Intelligence. He joined the Mathematical Reasoning Group at Edinburgh in 1990 as Research Associate, where he worked on techniques for automating the search for formal proofs, in particular proof by mathematical induction and proof planning. In 1995, he became a lecturer in Computer Science at Heriot-Watt University, and was promoted to senior lecturer in 2005. He is a founder member of the Dependable Systems Group at Heriot-Watt, and has maintained close collaborative links with the Mathematical Reasoning Group. This is reflected in his research, which focuses upon the role of formal proof within the development of dependable software systems, both verification and synthesis. The applied nature of his research has led him into collaborative research projects with Praxis High Integrity Systems and QinetiQ. He will be Program Co-Chair for the IEEE/ACM International Automated Software Engineering Conference (ASE) in 2008 which will be held in L'Aquila, Italy. |
 | TRAPSTAR! I'M IN THIS VIDEO!!! The TRAPSTAR: It's A Traveling - Reasoning - Automated - Processor.. An Affordable Automobile And Vehicle Safety Device For The Everyday Driver. Although The Product Is Fictional, It Was Still Very Fun To Take Part In Making. |
 | WVOQ #66 Willard Van Orman Quine - cleancut http://www-groups.dcs.st-and.ac.uk/~history/Printonly/Quine.html - in terms of performance. In this sense, it is not competitive with current unification based approaches. It would be interesting to examine the performance of the system when extended to use unification. The mechanisation described here can be found at the Archive for Formal Proofs [afp], which also includes the related OCaML code. Alternatively, the newest version is maintained at Ridges homepage [Rid]. Finally, we would like to thank the anonymous reviewers for their extremely close reading which uncovered several inadequacies in a previous version. References [afp] The archive of formal proofs. http://afp.sourceforge.net/. [Avr93] Arnon Avron. Gentzen-type systems, resolution and tableaux. Journal of Automated Reasoning, 10(2):265281, 1993. [Ber02] Stefan Berghofer. |
 | WVOQ #67 Willard Van Orman Quine - cleancut http://www-groups.dcs.st-and.ac.uk/~history/Printonly/Quine.html - Formalising first order logic in isabelle, 2002. http://www4. in.tum.de/ ∼ streckem/Admin/club2 berghofer model theory.pdf. [Cal99] James Caldwell. Intuitionistic tableau extracted. In Proceedings of Interna- tional Conference on Automated Reasoning with Analytic Tableaux and Re- lated Methods (TABLEAUX99), volume 1617 of LNAI, pages 8296. Springer-Verlag, 1999. http://www.nuprl.org/documents/Caldwell/tableaux99.html. [Har95] John Harrison. Metatheory and reflection in theorem proving: A survey and critique. Technical Report CRC-053, SRI Cambridge, Millers Yard, Cam- bridge, UK, 1995. Available on the Web as http://www.cl.cam.ac.uk/users/jrh/papers/reflect.dvi.gz. [Har98] John Harrison. Formalizing basic first order model theory. In Jim Grundy and Malcolm Newey, editors, Theorem Proving in Higher Order Logics: 11th Inter- national Conference, |
 | Inferring Temporal Order of Images From 3D Structure Given a stack of historical photos of a city taken over a 100 year period, we show how to determine the order in which the images were taken by reasoning about the visibility of 3D structures. This allows us to build a 4D model of the city as it changes over time. "Inferring Temporal Order of Images From 3D Structure." Grant Schindler, Frank Dellaert, Sing Bing Kang. CVPR 2007. http://www.cc.gatech.edu/~phlosoft/ |
 | Geometrically Coherent Image Interpretation Our system automatically constructs simple "pop-up" 3D models, like those one would find in a children's book, out of a single outdoor image. The system labels each region of an outdoor image as ground, vertical, or sky. Line segments fitted to the ground-vertical boundary in the image and an estimate of the horizon's position provide the necessary information to determine where to "cut" and "fold" in the image. The model is then popped up, and the image is texture mapped onto the model. This work is part of an on-going effort in Geometrically Coherent Image Interpretation. In our ICCV'05 paper Geometric Context from a Single Image, we provide a quantitative analysis of our system and extend our work by subclassifying vertical regions and using the geometric labels as context for object detection. In our newest CVPR'06 paper, Putting Objects in Perspective, we show how 3D reasoning can be used to aid in object detection. |
 | Using Data to "Brute Force" Hard Problems in Vision and... Google Tech Talks August 13, 2007 ABSTRACT Any task which requires automatic reasoning about the content of a photograph is inherently ambiguous and ill-posed. This is because a single image does not carry enough information in itself to disambiguate the world that it's depicting. Of course, humans have no problems understanding photographs because of all the prior visual experience they can bring to bare on the task. How can we help computers do the same? Our solution is to "brute force" the problem by using massive amounts of visual data, akin to how a search engine or automatic language translator uses textual data. In this talk, I will briefly discuss our progress on a set of challenging... |
 | Artificial intelligence that makes YOU think The ANDI-Land project aims to develop a computer adventure game where players solve simple puzzles through conversation with artificially intelligent characters who inhabit a simulated world. These characters, called ANDIs, understand their world using logic and reason about it using automated theorem proving techniques. |
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