Download Angewandte Informatik und Software / Applied Computer by Gerhard Barth (auth.), Professor Dr. Heinz Schwärtzel (eds.) PDF

By Gerhard Barth (auth.), Professor Dr. Heinz Schwärtzel (eds.)

0 e Neben der Entwicklung höchstintegrierter undefined, mit deren Hilfe höhere Funktionalität und Leistung bei kleinerem Volumen und geringeren Herstellungskosten ermöglicht wird, gewinnt die Forschung und Entwicklung im Bereich der software program stetig an Bedeutung. Schon heute übersteigt ihr wertmäßiger Anteil im Durchschnitt 50 % der Systemkosten. Das erklärt auch die weltweiten Anstrengungen auf diesem Gebiet. Führende Universitäten, Großforschungsinstitute und die Industrie haben in den letzten Jahren vielversprechende Ergebnisse erzielt und damit den Weg für eine ganze new release neuer Produkte geebnet. Aus Anlaß des 10-jährigen Bestehens der Hauptabteilung Informatik und software program in der Zentralabteilung Forschung und Entwicklung der Siemens AG wird ein internationales Symposium veranstaltet, dessen Themenbereiche - Kommunikation, Parallelrechner, Systemdesign, Künstliche Intelligenz und Signalverarbeitung - exemplarischen Einblick in Arbeiten und Kooperationen zwischen Wissenschaft und Industrie geben. Der vorliegende Tagungsband faßt die auf dem Symposium präsentierten Beiträge renommierter Wissenschaftler amerikanischer, österreichischer und deutscher Institute sowie overseas anerkannter Mitarbeiter der Siemens AG und der Siemens Nixdorf Informationssysteme AG zusammen.

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Additional info for Angewandte Informatik und Software / Applied Computer Science and Software: Wissenschaft für die Praxisi / Turning Theory into Practice

Example text

Shift the conceptual forcus from units to nets, and from global and sequential execution to local and asynchronous execution; 2. g. g. downloading nets to dedicated hardware such as the RAP. An object-oriented language was chosen because the object-oriented approach facilitates flexibility, extensibility, modularization, and efficiency. These criteria are very important for a simulator in a highly exploratory field of research such as the design of artificial neural nets. Flexibility is important due to the different mathematical models underlying neural nets and the different network architectures and applications.

For instance, if new types of nets are added, the command language and the related modules may also need to be extended. Some form of interactive, incremental prototyping is necessary to allow the user to change the representation and/or structure of nets during a simulation. This is particularly important in case of long 39 simulation runs. Otherwise, in a non-incremental environment, these long runs tend to repeat - in a different branch of computer science - the problems of the batch-oriented software development style of the early seventies with their long turn-around time in a slow 'editcompile-run-debug' cycle.

As is well known, many of the most difficult tasks in artificial intelligence and related areas have been difficult to program in conventional ways. Since animal brains have a connectionist architecture there is reason to hope that it will be easier to code intelligent systems in connectionist models. In fact, there is now considerable evidence that connectionist models do provide an excellent way to describe certain classes of computation. It is also true that the simple architecture of connectionist models makes it much easier to provide them with a degree of adaptivity, although not yet enough to justify so grand a term as 'learning'.

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