Read e-book online Current Topics in Artificial Intelligence: 11th Conference PDF

By Gerhard Brewka (auth.), Roque Marín, Eva Onaindía, Alberto Bugarín, José Santos (eds.)

ISBN-10: 3540459146

ISBN-13: 9783540459149

ISBN-10: 3540459154

ISBN-13: 9783540459156

This ebook constitutes the completely referred post-proceedings of the eleventh convention of the Spanish organization for man made Intelligence, CAEPIA 2005, held in Santiago de Compostela, Spain in November 2005. The forty eight revised complete papers offered including an invited paper have been conscientiously chosen in the course of rounds of reviewing and development from an preliminary overall of 147 submissions. The papers span the full spectrum of synthetic intelligence from foundational and theoretical concerns to complicated functions in quite a few fields.

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Read or Download Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005, Revised Selected Papers PDF

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Extra info for Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005, Revised Selected Papers

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Thus we define a constraint Lji11ij22 between two significant points Xij11 and Xij22 by means of a normal, convex j1 j2 j1 j2 possibility distribution μLi1 i2 (Xij11 , Xij22 ) = π Li1 i2 (h), h ∈ τ , which represents the possibility of the fuzzy temporal extension between Xij11 and Xij22 being h. j1 j2 The assignations Tij11 = tji11 and Tij22 = tji22 are possible if π Li1 i2 (tji22 − tji11 ) > 0. In Fig. 1 LII 23 models the linguistic description “approximately of 120-200 ms”. A constraint Dij11ij22 between a pair of significant points Xij11 and Xij22 is defined j1 j2 by means of a normal and convex possibility distribution μDi1 i2 (Xij11 , Xij22 ) = j1 j2 π Di1 i2 (d), d ∈ R, which represents the possibility of the fuzzy increase between Xij11 and Xij22 being d.

Beasley, J. : A Genetic Algorithm for the Multidimensional Knapsack Problem. Journal of Heuristics 4 (1998) 63–86 6. : Heuristics and Reduction Methods for Multiple Constraints 0–1 Linear Programming Problems. Europena Journal of Operationa Research 24 (1986) 206–215 7. : Allocation of Databases and Processors in a Distributed Computing System. J. Akoka ed. Management od Distributed Data Processing, North-Holland (1982) 215–231 8. : Efficient Algorithms for Solving Multiconstraint Zero–One Knapsack Problems to Optimality.

Artificial Intelligence, 148:103–140, 2003. A Hierarchical Pattern Matching Procedure for Signal Abstraction 41 3. HJ. Marriott and MB. Conover. Advanced Concepts in Arrhythmias. Mosby, 1998. 4. A. Otero, S. Barro P. F´elix, and F. Palacios. A tool for the analysis and synthesis of alarms in patient monitoring. In FUSION2004, pages 951–958, 2004. 5. A. Otero, CV. Rodr´ıguez, J. Correa, M. Rodr´ıguez, and P. F´elix. A fuzzy constraint satisfaction approach for landmark recognition in mobile robotics.

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Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005, Revised Selected Papers by Gerhard Brewka (auth.), Roque Marín, Eva Onaindía, Alberto Bugarín, José Santos (eds.)


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