Michael Schroeder – författare

Autonomous, Model-Based Diagnosis Agents defines and describes the implementation of an architecture for autonomous, model-based diagnosis agents. It does this by developing a logic programming approach for model-based diagnosis and introducing strategies to deal with more complex diagnosis problems, and then embedding the diagnosis framework into the agent architecture of vivid agents. Autonomous, Model-Based Diagnosis Agents surveys extended logic programming and shows how this expressive language is used to model diagnosis problems stemming from applications such as digital circuits, traffic control, integrity checking of a chemical database, alarm-correlation in cellular phone networks, diagnosis of an automatic mirror furnace, and diagnosis of communication protocols. The book reviews a bottom-up algorithm to remove contradiction from extended logic programs and substantially improves it by top-down evaluation of extended logic programs. Both algorithms are evaluated in the circuit domain including some of the ISCAS85 benchmark circuits. This comprehensive in-depth study of concepts, architectures, and implementation of autonomous, model-based diagnosis agents will be of great value for researchers, engineers, and graduate students with a background in artificial intelligence. For practitioners, it provides three main contributions: first, it provides many examples from diverse areas such as alarm correlation in phone networks to inconsistency checking in databases; second, it describes an architecture to develop agents; and third, it describes a sophisticated and declarative implementation of the concepts and architectures introduced.

In today's world of globalization, there is a growing trend among historians and students alike to study the common challenges and experiences that unite the human past. ""Facts On File"" is pleased to announce its new seven-volume ""Encyclopedia of World History"", a truly groundbreaking work and one of the first to offer a balanced presentation of human history for a global perspective of the past. A team of distinguished world history academics has brought together scores of specialists in writing signed entries based on the latest scholarship.Based on the National Standards for World History and influenced by the National Standards for World History, this comprehensive and authoritative set is rich in features to make the study of world history easier for students to understand. Arranged in six chronological eras that span from prehistory to the present day, this chronological approach follows the way world history is taught and studied in the classroom. Each volume era begins with essays that tackle large themes - such as agriculture, science and technology, social and class relationships, trade and cultural exchanges, and warfare - that allow students to make connections and trace key global patterns over time. The final volume contains primary documents, a chronology, and a master index for the set.It contains thematic essays that help students make comparisons and connections across regions and time periods. It is based on primary source documents, carefully chosen to be representative of the six world eras. It is informative with cross-referenced entries. It also includes: Chronologies in every volume to help students place events in context; More than 600 illustrations, including a 32-page insert of full-color maps in each volume designed to convey the importance of geography in world history; An appendix in each volume; Further reading sections that encourage further research; Individual volume indexes; And a comprehensive set index.

Autonomous, Model-Based Diagnosis Agents defines and describes the implementation of an architecture for autonomous, model-based diagnosis agents. It does this by developing a logic programming approach for model-based diagnosis and introducing strategies to deal with more complex diagnosis problems, and then embedding the diagnosis framework into the agent architecture of vivid agents. Autonomous, Model-Based Diagnosis Agents surveys extended logic programming and shows how this expressive language is used to model diagnosis problems stemming from applications such as digital circuits, traffic control, integrity checking of a chemical database, alarm-correlation in cellular phone networks, diagnosis of an automatic mirror furnace, and diagnosis of communication protocols. The book reviews a bottom-up algorithm to remove contradiction from extended logic programs and substantially improves it by top-down evaluation of extended logic programs. Both algorithms are evaluated in the circuit domain including some of the ISCAS85 benchmark circuits. This comprehensive in-depth study of concepts, architectures, and implementation of autonomous, model-based diagnosis agents will be of great value for researchers, engineers, and graduate students with a background in artificial intelligence. For practitioners, it provides three main contributions: first, it provides many examples from diverse areas such as alarm correlation in phone networks to inconsistency checking in databases; second, it describes an architecture to develop agents; and third, it describes a sophisticated and declarative implementation of the concepts and architectures introduced.

Autonomous, Model-Based Diagnosis Agents defines and describes the implementation of an architecture for autonomous, model-based diagnosis agents. It does this by developing a logic programming approach for model-based diagnosis and introducing strategies to deal with more complex diagnosis problems, and then embedding the diagnosis framework into the agent architecture of vivid agents. Autonomous, Model-Based Diagnosis Agents surveys extended logic programming and shows how this expressive language is used to model diagnosis problems stemming from applications such as digital circuits, traffic control, integrity checking of a chemical database, alarm-correlation in cellular phone networks, diagnosis of an automatic mirror furnace, and diagnosis of communication protocols. The book reviews a bottom-up algorithm to remove contradiction from extended logic programs and substantially improves it by top-down evaluation of extended logic programs. Both algorithms are evaluated in the circuit domain including some of the ISCAS85 benchmark circuits. This comprehensive in-depth study of concepts, architectures, and implementation of autonomous, model-based diagnosis agents will be of great value for researchers, engineers, and graduate students with a background in artificial intelligence. For practitioners, it provides three main contributions: first, it provides many examples from diverse areas such as alarm correlation in phone networks to inconsistency checking in databases; second, it describes an architecture to develop agents; and third, it describes a sophisticated and declarative implementation of the concepts and architectures introduced.

Durch den Bau der Berliner Mauer erreicht die Teilung Deutschlands und Europas 1961 einen dramatischen Höhepunkt. Die Fluchtwelle aus der DDR befindet sich im Spätsommer 1989 auf einem absoluten Höhepunkt. Im September 1990 wird die erste und letzte ›Miss-DDR-Wahl‹ durchgeführt. 40 Jahre musste ein Volk auf diesen Höhepunkt warten. Der 3. Oktober, null Uhr, wird sicherlich der Höhepunkt der Festlichkeiten zum ›Tag der Deutschen Einheit‹ sein. Mittlerweile gibt es fast jeden Tag einen historischen Höhepunkt. Daher sollte man die gegenwärtigen Zerwürfnisse und Ärgernisse nicht als den Höhepunkt des ›Lebens-Dramas‹ ansehen. Lieber weiter diszipliniert auf einen imaginären Höhepunkt warten. Und sich dann, mit einer verblüffenden Wendung und etwas innerer Dynamik auf den nächsten emotionalen Höhepunkt vorbereiten.

This book constitutes the refereed proceedings of the Second International Workshop on Rules and Rule Markup Languages for the Semantic Web, RuleML 2003, held in Sanibel Island, Florida, USA in October 2003 in conjunction with ISWC 2003.Rules and rule markup languages will play an important role for the success of the semantic Web. Rules will act as a means to draw inferences, to express constraints, to specify policies for reaching to events, to transform data, etc. Rule markup languages will allow to enrich Web ontologies by adding definitions of derived concepts, to publish rules on the Web, to exchange rules between different systems, etc.The nine revised full papers presented together with two invited papers were carefully reviewed and selected for presentation. All current issues on rules and rule markup languages for the semantic Web are addressed.

RuleML 2003 was the second international workshop on rules and rule markup languages for the Semantic Web, held in conjunction with the International Semantic Web Conference (ISWC). The aim of the RuleML workshop series is to stimulate research on all issues related to web rule languages and to provide an annual forum for presenting and discussing new research results. The Semantic Web is a major world-wide endeavor to advance the Web by enriching its multimedia document content with propositional information that can be processed by inference-enabled Web applications. Rules and rule markup languages, such as RuleML, will play an important role in the success of the Semantic Web. Rules will act as a means to draw inferences, to express constraints,tospecifypoliciesforreactingtoevents,totransformdata,etc.Rule markup languages will allow us to enrich Web ontologies by adding de?nitions of derived concepts, to publish rules on the Web, to exchange rules between di?erent systems and tools, etc. RuleML 2003 built on the success of RuleML 2002, which was held in c- junction with ISWC 2002, Sardinia, Italy. The proceedings of RuleML 2002 can be found at http://www.ceur-ws.org/Vol-60/. Special highlights of the RuleML 2003 workshop were the two invited pres- tationsgivenbyPeterChenon“Rules,XML,andtheERModel”andbyHarold Boley on “Object-Oriented RuleML: User-Level Roles, URI-Grounded Clauses, and Order-Sorted Terms”. This proceedings volume also contains an invited - per by Francois ¸ Bry and Sebastian Scha?ert on “An Entailment Relation for Reasoning on the Web”.

It is the aim of this study to assess the effects of the EU enlargement on the capital markets in the most advanced countries of Central and Eastern Europe (CEE) and Russia and to analyse the impacts on the interactions between Eastern and Western capital markets due to the integration process. Therefore, this study should be particularly useful for financial analysts, institutional investors and academic researchers who are interested in the economic and institutional developments of capital markets in CEE countries and are looking for a thorough and comprehensive analysis of the future perspectives of these capital markets. The European Union has opened negotiations for EU membership in early 1998 with five CEE countries, the Czech Republic, Estonia, Hungary, Poland and Slovenia. In autumn 1999 the group of CEE countries invol ved in the negotiations for EU membership has been enlarged by Bulgaria, Latvia, Lithuania, Romania and Slovakia. The negotiations with some of the CEE countries have already reached a stage that makes entry into the EU in the next few years very likely. The joining countries have to adopt the whole acquis communautaire, which represents the legislative framework common to all EU members. Important parts of the acquis communautaire e. g. the liberalisation of capital movements, European Monetary Union, the free provision of bank and non-bank financial services and new rules for prudential supervision directly and indirectly affect the behaviour of the financial sector and the functioning of capital markets.

The book constitutes the refereed proceedings of the International Workshop on Distributed, High-Performance and Grid Computing in Computational Biology, GCCB 2006, held in Eilat, Israel in January 2007 in conjunction with the 5th European Conference on Computational Biology, ECCB 2006. The 13 revised full papers presented were carefully reviewed and selected from many high quality submissions.

It is the aim of this study to assess the effects of the EU enlargement on the capital markets in the most advanced countries of Central and Eastern Europe (CEE) and Russia and to analyse the impacts on the interactions between Eastern and Western capital markets due to the integration process.

Es wird allgemeine Managementaufgabe, entlang der gesamten Wertschöpfungskette Umweltschutz, soziale Normen und moralisch-rechtlich korrekte Unternehmensführung in Organisationen und Prozessen durchzusetzen und zu leben.

Es wird zunächst ein Überblick über Modelle gegeben, die zur Bewertung sektoraler und gesamtwirtschaftlicher Kosten von Umweltpolitik eingesetzt werden. Dabei handelt es sich vor allem um Input-Output-Modelle und deren Weiterentwicklungen. Es zeigt sich, daß diese Modelle nicht geeignet sind, volkswirtschaftliche Kosten von Umweltpolitik zu erfassen, da wesentliche Rückwirkungen über Preise, Substitutionsvorgänge und Veränderungen von Einkommen nicht berücksichtigt werden. Im Anschluß daran wird die Methodik der Angewandten Gleichgewichtsanalyse dargestellt, die eine Kombination von verallgemeinerten I/O-Modellen und allgemeinen Gleichgewichtsmodellen ist. Es wird ein eigenes CGE-Modell entwickelt und ausführlich beschrieben. Dieses Modell (ENEAS) wird zur Bewertung konkreter umweltpolitischer Maßnahmen verwandt. Beispiele sind: Vergleich von Emissionsstandards versus effiziente umweltpolitische Maßnahmen (Emissionssteuern), Subventionen auf beseitigte Schadstoffe, Verfahren zur Reduktion von CO2-Emissionen u.a.