By U Endriss
Synthetic Intelligence is a box which maintains to extend and strengthen speedily, and so it's also one during which unique principles and clean views are of specific curiosity. The beginning AI Researcher Symposium (STAIRS) is a world assembly which helps Ph.D. scholars and those that have held a Ph.D. for only 365 days, from around the world, before everything in their occupation. The symposium bargains doctoral scholars and younger postdoctoral AI fellows the opportunity to event supplying a presentation in their paintings in a supportive setting.
This publication provides papers from the 7th STAIRS, a satellite tv for pc occasion of the twenty first eu convention on synthetic Intelligence (ECAI) held in Prague, Czech Republic, in August 2014. The ebook contains 30 papers authorised for presentation on the convention, out of forty five submissions. sixteen papers have been chosen for an oral presentation on the symposium, whereas the opposite 14 have been offered at a poster consultation. jointly those papers conceal the sector of AI; wisdom illustration and reasoning, computer studying, making plans and scheduling being the parts that have attracted the most important variety of submissions.
The e-book presents a desirable preview of the present paintings of destiny AI researchers, and should be of curiosity to all these whose paintings includes using man made intelligence and clever platforms.
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Additional info for STAIRS 2014: Proceedings of the 7th European Starting AI Researcher Symposium
In: Proceedings of AAAI ’99/IAAI ’99, pp. : An adaptive noise mechanism for walksat. In: Proceedings of AAAI-2002, pp. : Diversiﬁcation and determinism in local search for satisﬁability. In: Proceedings of SAT’05, pp. : Switching between two adaptive noise mechanisms in local search for sat. In: SAT 2009 competitive events booklet, p. : Satisfying versus falsifying in local search for satisﬁability. In: Proceedings of SAT2012, pp. 477–478. : Description of sattime2013. In: Proceedings of SAT Competition 2013: Solver and Benchmark Descriptions, pp.
Comparing different perspectives on surprise: a case study We carried out a case study to compare the computation of surprise from the perspective of economics and ﬁnance to the perspective of cognitive science. com/econforecast/). The WSJ monthly surveys a group of nearly 50 economists on more than 10 major economic indicators. For this case study we selected the unemployment rate as indicator as well as compiled its data from 01-07-2008 to 0101-2014 in a total of 70 months. Similarly, we obtained the actual/released data regarding the selected economic indicator from the Economic Research Federal Reserve Bank of St.
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STAIRS 2014: Proceedings of the 7th European Starting AI Researcher Symposium by U Endriss