This paper shows how multiagent systems can be modeled by a combination of UML statecharts and hybrid automata. This allows formal system specification on different levels of abstraction on the one hand, and expressing real-time system behavior with continuous variables on the other hand. It is not only shown how multi-robot systems can be modeled by a combination of hybrid automata and hierarchical state machines, but also how model checking techniques for hybrid automata can be applied. An enhanced synchronization concept is introduced that allows synchronization taking time and avoids state explosion to a certain extent.

In most theorem proving applications, a proper treatment of equational theories or equality is mandatory. In this paper we show how to integrate a modern treatment of equality in the hyper tableau calculus. It is based on splitting of positive clauses and an adapted version of the superposition inference rule, where equations used for paramodulation are drawn (only) from a set of positive unit clauses, the candidate model. The calculus also features a generic, semantically justified simplification rule which covers many redundancy elimination techniques known from superposition theorem proving. Our main results are soundness and completeness, but we briefly describe the implementation, too.

In this paper we describe a network for distributing personalized Information in a metropolitan area. We discuss the system architecture of our Bluetooth-based information system as well as the reasoning process that fits users" needs with potential messages. We furthermore present our findings on parallelizing Bluetooth connection setup and performance.

Generalized methods for automated theorem proving can be used to compute formula transformations such as projection elimination and knowledge compilation. We present a framework based on clausal tableaux suited for such tasks. These tableaux are characterized independently of particular construction methods, but important features of empirically successful methods are taken into account, especially dependency directed backjumping and branch local operation. As an instance of that framework an adaption of DPLL is described. We show that knowledge compilation methods can be essentially improved by weaving projection elimination partially into the compilation phase.

The E-KRHyper system is a model generator and theorem prover for first-order logic with equality. It implements the new E-hyper tableau calculus, which integrates a superposition-based handling of equality into the hyper tableau calculus. E-KRHyper extends our previous KRHyper system, which has been used in a number of applications in the field of knowledge representation. In contrast to most first order theorem provers, it supports features important for such applications, for example queries with predicate extensions as answers, handling of large sets of uniformly structured input facts, arithmetic evaluation and stratified negation as failure. It is our goal to extend the range of application possibilities of KRHyper by adding equality reasoning.

Das Simple Network Management Protocol (SNMP) gilt als die Universalsprache des Netzwerkmanagements. Bereits Anfang der 90er Jahre wurde die erste Version von SNMP durch die Internet Engineering Task Force (IETF) zum Standard-Internet Management Protocol erklärt und Teil der TCP/IP Protocol-Suite. Für die meisten Betriebssystemplattformen sind SNMP Implementierungen verfügbar und viele netzwerkfähige Geräte und Netzwerkmanagement-Programme unterstützen SNMP, das sich vor allem für die Verwaltung plattformübergreifender und herstellerunabhängiger Netzwerke bewährt. Virtual Network User Mode Linux (VNUML) ist ein mächtiges Netzwerk-Simulationsprogramm für Linux mit dem virtuelle Linux-Rechnernetze aufgebaut werden können, um darin Programmabläufe zu simulieren. Die VNUML Netzwerk-Simulationen sind in erster Linie für das Entwickeln, Analysieren und Testen von Linux Netzwerk-Software, wie zum Beispiel Netzwerk-Protokollen, geeignet. Das Simulationsprogramm entstand im Rahmen des Euro6IX-Projektes, zur Einführung des IPv6 Standards in Europa, am Telematics Engineering Department der Technischen Universität Madrid. Die Rechner der virtuellen Netze, die VNUML aufbaut, basieren auf User Mode Linux (UML), einer in breitem Spektrum eingesetzten Virtualisierung des Linux-Kernels. Diese Studienarbeit beschäftigt sich mit den Möglichkeiten und der Funktionsweise des Netzwerkmanagements mit SNMP. Dafür wird die SNMP-Software Net-SNMP in VNUML Simulationen eingesetzt, um die Möglichkeiten der Konfiguration und des Umgangs mit SNMP in einer praxisnahen Umgebung zu untersuchen. Der Einsatz von Net-SNMP in VNUML Simulationen kann dazu dienen, die Integration von Netzwerkmanagement mit SNMP für relevante Rechnernetze vorzubereiten und Möglichkeiten der Konfiguration und der Verwendung auszuloten oder VNUML Simulationen im Allgemeinen mit diesem bewährten Netzwerkmanagement-System zur Unterstützung auszustatten.

The goal of this thesis is to develop a video retrieval system that supports relevance feedback. One research approach of the thesis is to find out if a combination of implicit and explicit relevance feedback returns better retrieval results than a system using explicit feedback only. Another approach is to identify a model to weight existing feature categories. For this purpose, a state-of-the-art analysis is presented and two systems implemented, which run under the conditions of the international TRECVID workshop. It will be a basis system for further research approaches in the field of interactive video retrieval. Amongst others, it shall participate in the 2006 search task of the mentioned workshop.

The high cost of routing infrastructure makes checking theories about larger nets a very difficult and expensive task. One possible approach to fight this problem is the use of virtual instead of physical infrastructure. OPNet- IT Guru software is a suite designed to simulate large nets and present relevant information. This allows validating extensive changes before actually implementing them on a productive network or testing theories without the overhead of a physical infrastructure.

The DPLL procedure is the basis of some of the most successful propositional satisfiability solvers to date. Although originally devised as a proof­ procedure for first-order logic, it has been used almost exclusively for propositional logic so far because of its highly inefficient treatment of quantifiers, based on instantiation into ground formulas. The recent FDPLL calculus by Baumgartner was the first successful attempt to lift the procedure to the first-order level without resorting to ground instantiations. FDPLL lifts to the first-order case the core of the DPLL procedure, the splitting rule, but ignores other aspects of the procedure that, although not necessary for completeness, are crucial for its effectiveness in practice. In this paper, we present a new calculus loosely based on FDPLL that lifts these aspects as well. In addition to being a more faithful litfing of the DPLL procedure, the new calculus contains a more systematic treatment of universal literals, one of FDPLL's optimizations, and so has the potential of leading to much faster implementations.

We aim to demonstrate that automated deduction techniques, in particular those following the model computation paradigm, are very well suited for database schema/query reasoning. Specifically, we present an approach to com­pute completed paths for database or XPath queries. The database schema and a query are transformed to disjunctive logic programs with default negation, using a description logic as an intermediate language. Our underlying deduction system, KRHyper, then detects if a query is satisfiable or not. In case of a satisfiable query, all completed paths -- those that fulfill all given constraints -- are returned as part of the computed models. The purpose of our approach is to dramatically reduce the workload on the query processor. Without the path completion, a usual XML query processor would search the database for solutions to the query. In the paper we describe the transformation in detail and explain how to extract the solution to the original task from the computed models. We understand this paper as a first step, that covers a basic schema/query reaÂsoning task by model-based deduction. Due to the underlying expressive logic formalism we expect our approach to easily adapt to more sophisticated problem settings, like type hierarchies as they evolve within the XML world.