Artificial Intelligence and Symbolic Computation: by Luis M. Laita, Luis de Ledesma, Eugenio Roanes-Lozano,

By Luis M. Laita, Luis de Ledesma, Eugenio Roanes-Lozano, Alberto Brunori (auth.), John A. Campbell, Eugenio Roanes-Lozano (eds.)

This ebook constitutes the completely refereed post-proceedings of the overseas convention on man made Intelligence and Symbolic Computation, AISC 2000, held in Madrid, Spain in July 2000.
The 17 revised complete papers offered including 3 invited papers have been conscientiously reviewed and revised for inclusion within the booklet. one of the themes addressed are automatic theorem proving, logical reasoning, mathematical modeling of multi-agent platforms, professional platforms and laptop studying, computational arithmetic, engineering, and business functions.

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10. argstr allows specification of an (optional) argument string for the function. A call to the LΩUI interface would then have the form in Fig. 11. Here, the 48 Michael Kohlhase code in the code element sendtoloui (which we have not shown) would be java code that simply sends the argstr to LΩUI’s remote control port. g. translation to Mozilla will put the callmint code directly into the generated html.

With respect to neural networks at least, Figure 5 shows some conceivable applications within an IMS. Some of these applications are not purely activities that can be reduced to making associations or classifications with respect to past and current examples of problems. It may therefore appear that traditional neural-network schemes are not adequate to express all the contents of the applications. But there are interesting and relatively new extensions of the traditional approach, which could benefit from exposure to such applications - and vice versa.

With respect to neural networks at least, Figure 5 shows some conceivable applications within an IMS. Some of these applications are not purely activities that can be reduced to making associations or classifications with respect to past and current examples of problems. It may therefore appear that traditional neural-network schemes are not adequate to express all the contents of the applications. But there are interesting and relatively new extensions of the traditional approach, which could benefit from exposure to such applications - and vice versa.

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