Read e-book online Artificial Intelligence for Knowledge Management: First IFIP PDF

By Eunika Mercier-Laurent, Danielle Boulanger (eds.)

ISBN-10: 3642548962

ISBN-13: 9783642548963

ISBN-10: 3642548970

ISBN-13: 9783642548970

This booklet contains a number of papers offered on the First IFIP WG 12.6 foreign Workshop on man made Intelligence for wisdom administration, AI4KM 2012, held in Montpellier, France, in August 2012, along with the twentieth eu convention on synthetic Intelligence, ECAI 2012. The eleven revised and prolonged papers have been conscientiously reviewed and chosen for inclusion during this quantity. They current new learn and cutting edge facets within the box of information management.

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Additional resources for Artificial Intelligence for Knowledge Management: First IFIP WG 12.6 International Workshop, AI4KM 2012, Held in Conjunction with ECAI 2012, Montpellier, France, August 28, 2012, Revised Selected Papers

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Split consistency: Will the workflow possibly explore all the paths after a split? Will it always explore at least one? 3. Merge consistency: Will it be always possible to merge knowledge coming from different sources at the merge node? 4. Termination/completeness: Does the specification assure that the system will always terminate producing some temperature specification for any admissible input data? 5. Determinism: Will the output setting be determined in a unique way? Note that we do not ask about correctness of the result; in fact, the rules embedded into a BPMN diagram provide a kind of executable specification, so there is no reference point to claim that final output is correct or not.

Exp. Theor. Artif. Intell. 18, 331–364 (2006) 23. : Logical Foundations for Rule-Based Systems. Springer, Heidelberg (2006) 24. : Exclusion rule-based systems – case study. In: International Multiconference on Computer Science and Information Technology, Wisla, Poland, vol. 3, pp. 237–242 (2008) 25. : Reduction of tabular systems. A. ) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 903–908. Springer, Heidelberg (2004) 26. : Artificial Intelligence. A Guide to Intelligent Systems. Addison-Wesley, Harlow (2002) ISBN 0-201-71159-1 27.

The first two rules define if we have today (aTD ) a workday (wd) or a weekend day (wk). Rules 3-6 define if the operation hours (aOP) are during business hours (dbh) or not during business hours (ndbh); they take into account the workday/weekend condition and the current time (hour). Rules 7-10 define the season (aSE ) is summer (sum), autumn (aut), winter (win) or spring (spr). Finally, rules 11-18 define the precise setting of the thermostat (aTHS ). Observe that the set of rules is flat; basically no control knowledge is provided.

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Artificial Intelligence for Knowledge Management: First IFIP WG 12.6 International Workshop, AI4KM 2012, Held in Conjunction with ECAI 2012, Montpellier, France, August 28, 2012, Revised Selected Papers by Eunika Mercier-Laurent, Danielle Boulanger (eds.)


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