Download Advances in Artificial Intelligence: 24th Canadian by Eric Aaron, Juan Pablo Mendoza (auth.), Cory Butz, Pawan PDF

By Eric Aaron, Juan Pablo Mendoza (auth.), Cory Butz, Pawan Lingras (eds.)

This ebook constitutes the refereed court cases of the twenty fourth convention on man made Intelligence, Canadian AI 2011, held in St. John’s, Canada, in might 2011. The 23 revised complete papers offered including 22 revised brief papers and five papers from the graduate pupil symposium have been rigorously reviewed and chosen from eighty one submissions. The papers hide a huge diversity of subject matters proposing unique paintings in all components of synthetic intelligence, both theoretical or applied.

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Additional resources for Advances in Artificial Intelligence: 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John’s, Canada, May 25-27, 2011. Proceedings

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If P is an expansion predicate, the answer is the set of all pairs (¯ a, P (¯ a)), where a ¯ is a tuple of elements from the domain A. Correctness of the method then follows, by induction on the structure of the formula, from the following proposition. Proposition 2. Suppose that R is an answer to φ1 and S is an answer to φ2 , both with respect to (wrt) structure A. Then 1. ¬R is an answer to ¬φ1 wrt A; 2. R S is an answer to φ1 ∧ φ2 wrt A; 3. R ∪ S is an answer to φ1 ∨ φ2 wrt A; 4. If Y is the set of free variables of ∃¯ z φ1 , then πY (R) is an answer to ∃¯ z φ1 wrt A.

Node) in the Bayesian Network. It is possible to either intuitively Road type Weather condition Driving condition Day of Week Time of Day Level of Service Speed Fig. 1. Example BN for the MO speed model Area Speed Limit 28 W. Abdelsalam et al. choose the values or elicit them from the domain expert. , 199, 200 k/hr representing all the possible MO speeds (assuming no decimals values). For the road type, a Geographic Information System (GIS) is consulted for the possible road types in the city.

MCQs are straightforward to conduct and instantaneously provide an effective measure of test-takers performance and feedback test results to the learner. In many disciplines instructors use MCQs as a preferred assessment tool and it is estimated that 45% - 67% student assessments utilise MCQs [2]. The fast developments of e-Learning technologies have in turn stimulated method for automatic generation of MCQs and today they have become an actively developing topic in C. Butz and P. ): Canadian AI 2011, LNAI 6657, pp.

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