By Cecilio Angulo, Lluis Godo
We suggest 2 month, 10 guy examine of synthetic intelligence be conducted in the course of the summer season of 1956 at Dartmouth university in Hanover, New Hampshire. The examine is to proceed.... final 12 months the fiftieth anniversary of the Dartmouth AI venture inspiration via McCarthy, Minsky, Rochester and Shannon used to be celebrated. Years later, and following related traditions of a few AI institutions, a choice used to be introduced in 1997 by way of the Catalan organization for synthetic Intelligence (ACIA) to arrange an annual convention to advertise synergies within the examine group of its effect, the seeder for the first Catalan convention on synthetic Intelligence (CCIA98) which happened in Tarragona on October 1998. The editors are very completely satisfied to have fun the tenth anniversary of the foreign convention of the ACIA (CCIA07) in Sant Julià de Lòria (Andorra), October 2526th, 2007. the great future health of the Catalan AI neighborhood and its impact sector is witnessed by means of the consultant choice of papers amassed during this e-book and awarded at CCIA07. The ebook is prepared based on the various parts within which the papers have been allotted for his or her presentation through the convention, particularly: Constraint delight, brokers, facts Processing, Case-Based Reasoning, desktop imaginative and prescient, typical Language Processing, Uncertainty and Fuzziness, Robotics, and functions. The editors think that each one the papers gathered during this quantity may be of curiosity to any desktop scientist or engineer attracted to AI.
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Comparison with Cycle-CutSets and Treewidth In the area of CSP there are two prototypical solving methods: one based on cycle-cutset decompositions, and the other based on tree decompositions. Since SAT is a special case of CSP, we can export these methods to SAT. The cycle-cutset technique consists in breaking cycles in graphs of variable dependencies (here, two variables are dependent if they share the same clause) by instantiating some of the variables. A cycle-cutset is a set of variables that after instantiation transform the dependency graph into a tree.
Our approach is computationally costly, but the proposed algorithm exhibits an anytime behaviour in which solutions very close to the optimal (less than 9%) are obtained very quickly. These limitations of our approach could be overcomed in a future with the combination of liner programming techniques when computing the estimation function. 18 J. Murillo and B. Lopez / An Efﬁcient Estimation Function for the Crew Scheduling Problem We are also studying other alternative mechanisms to accelerate the problems solution, as for example, symmetries  or learning techniques .
Finding an assignment with a minimum number of errors follows the traditional parsimony principle (or Occam’s razor) and is consistent with a low probability of independent errors (quite reasonable here). This deﬁnes the Parsimony problem. One solution of the corresponding WCSP with a minimum cost therefore deﬁnes a possible diagnostic. The model shifts from satisfaction to optimization. 1 2/2 7 2/2 5 9 10 2/2 4 6 2/2 8 11 1/2 1|1 1|1 1|1, 0 ½ ° |1 1| 2 1|1, 0 ° cijk ®1 1|1 1| 2 2 | 2, k ¾ °...