Download PDF by Matthias Knorr, José Júlio Alferes, Pascal Hitzler (auth.),: Progress in Artificial Intelligence: 13th Portuguese

By Matthias Knorr, José Júlio Alferes, Pascal Hitzler (auth.), José Neves, Manuel Filipe Santos, José Manuel Machado (eds.)

ISBN-10: 3540770003

ISBN-13: 9783540770008

This e-book constitutes the refereed complaints of the thirteenth Portuguese convention on man made Intelligence, EPIA 2007, held in Guimarães, Portugal, in December 2007 as 11 built-in workshops.

The fifty eight revised complete papers awarded have been conscientiously reviewed and chosen from a complete of 210 submissions. in line with the 11 constituting workshops, the papers are equipped in topical sections on basic synthetic intelligence (GAIW 2007), AI functions for sustainable transportation platforms (AIASTS 2007), synthetic lifestyles and evolutionary algorithms (ALEA 2007), ambient intelligence applied sciences and functions (AMITA 2007), development and employing ontologies for the semantic internet (BAOSW 2007), company intelligence (BI 2007), computational equipment in bioinformatics and structures biology (CMBSB 2007), clever robotics (IROBOT 2007), multi-agent platforms: conception and purposes (MASTA 2007), seek thoughts for constraint delight (STCS 2007), and textual content mining and functions (TEMA 2007).

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Read or Download Progress in Artificial Intelligence: 13th Portuguese Conference on Aritficial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA, STCS, and TEMA, Guimarães, Portugal, December 3-7, 2007. Proceedings PDF

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Download e-book for iPad: Progress in Artificial Intelligence: 13th Portuguese by Matthias Knorr, José Júlio Alferes, Pascal Hitzler (auth.),

This ebook constitutes the refereed complaints of the thirteenth Portuguese convention on synthetic Intelligence, EPIA 2007, held in Guimarães, Portugal, in December 2007 as 11 built-in workshops. The fifty eight revised complete papers provided have been conscientiously reviewed and chosen from a complete of 210 submissions.

Additional info for Progress in Artificial Intelligence: 13th Portuguese Conference on Aritficial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA, STCS, and TEMA, Guimarães, Portugal, December 3-7, 2007. Proceedings

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In Sect. 1, for selfcontainment, we briefly recap the notion of DLP, establishing the language used in the paper. In Sect. 3 we define our framework and its semantics. In Sect. 4 we preset a brief illustrative example. In Sect. 5 we discuss some properties and conclude in Sect. 6. 2 Dynamic Logic Programming For self containment, in this Appendix, we briefly recap the notion and semantics of Dynamic Logic Programming needed throughout. More motivation regarding all these notions can be found in [2,18].

When training a GDNN, the final model should be as simple as possible. 1) the GDNN found reduces the error very well, but the final GDNN-model includes time delays of high order (there are many models possible, which generate the same input-output behavior). To avoid this problem, two weights of similar saliency – but different delay orders – should have a different influence on the pruning process. As we want to have a model as simple as possible, networks weights with higher order of delay d should produce a smaller saliency: 2 wk,z (20) Snk,z = (d + 1) · (J T (w k ) · J (wk ) + μk · I )−1 z,z Optimal Brain Surgeon for General Dynamic Neural Networks 23 Bias-weights and forward-weights have no TDL, hence d = 0.

The language should also include some form of negation to allow for the specification of both positive as well as negative information. 2. Users should be able to update their models by specifying new rules. , some newer rules may directly contradict previously specified ones, possibly representing an evolution of the user’s tastes and needs, and these “contradictions” should be dealt with by the system, relieving the user from any consistency requirements, always difficult to impose, and often a discouraging factor.

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Progress in Artificial Intelligence: 13th Portuguese Conference on Aritficial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA, STCS, and TEMA, Guimarães, Portugal, December 3-7, 2007. Proceedings by Matthias Knorr, José Júlio Alferes, Pascal Hitzler (auth.), José Neves, Manuel Filipe Santos, José Manuel Machado (eds.)


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