Kaiserslautern - Fachbereich Informatik
Refine
Year of publication
- 1995 (48) (remove)
Document Type
- Preprint (22)
- Report (13)
- Master's Thesis (7)
- Article (4)
- Doctoral Thesis (2)
Has Fulltext
- yes (48)
Keywords
- CoMo-Kit (5)
- CAP (2)
- Case Based Reasoning (2)
- Wissensverarbeitung (2)
- computer aided planning (2)
- AG-RESY (1)
- Bebauungsplanung (1)
- Case-Based Reasoning (1)
- Case-Based Reasoning Systems (1)
- Design Rationales (1)
Faculty / Organisational entity
We study the combination of the following already known ideas for showing confluence ofunconditional or conditional term rewriting systems into practically more useful confluence criteria forconditional systems: Our syntactic separation into constructor and non-constructor symbols, Huet's intro-duction and Toyama's generalization of parallel closedness for non-noetherian unconditional systems, theuse of shallow confluence for proving confluence of noetherian and non-noetherian conditional systems, theidea that certain kinds of limited confluence can be assumed for checking the fulfilledness or infeasibilityof the conditions of conditional critical pairs, and the idea that (when termination is given) only primesuperpositions have to be considered and certain normalization restrictions can be applied for the sub-stitutions fulfilling the conditions of conditional critical pairs. Besides combining and improving alreadyknown methods, we present the following new ideas and results: We strengthen the criterion for overlayjoinable noetherian systems, and, by using the expressiveness of our syntactic separation into constructorand non-constructor symbols, we are able to present criteria for level confluence that are not criteria forshallow confluence actually and also able to weaken the severe requirement of normality (stiffened withleft-linearity) in the criteria for shallow confluence of noetherian and non-noetherian conditional systems tothe easily satisfied requirement of quasi-normality. Finally, the whole paper also gives a practically usefuloverview of the syntactic means for showing confluence of conditional term rewriting systems.
Problems stemming from the study of logic calculi in connection with an infer-ence rule called "condensed detachment" are widely acknowledged as prominenttest sets for automated deduction systems and their search guiding heuristics. Itis in the light of these problems that we demonstrate the power of heuristics thatmake use of past proof experience with numerous experiments.We present two such heuristics. The first heuristic attempts to re-enact aproof of a proof problem found in the past in a flexible way in order to find a proofof a similar problem. The second heuristic employs "features" in connection withpast proof experience to prune the search space. Both these heuristics not onlyallow for substantial speed-ups, but also make it possible to prove problems thatwere out of reach when using so-called basic heuristics. Moreover, a combinationof these two heuristics can further increase performance.We compare our results with the results the creators of Otter obtained withthis renowned theorem prover and this way substantiate our achievements.
In this paper the autonomous mobile vehicle MOBOT-IV is presented, which is capable of exploring an indoor-environment while building up an internal representation of its world. This internal model is used for the navigation of the vehicle during and after the exploration phase. In contrast to methods, which use a grid based or line based environment representation, in the approach presented in this paper, local sector maps are the basic data structure of the world model. This paper describes the method of the view-point-planning for map building, the use of this map for navigation and the method of external position estimation including the hand- ling of an position error in a moving real-time system.
Correctness and runtime efficiency are essential properties of software ingeneral and of high-speed protocols in particular. Establishing correctnessrequires the use of FDTs during protocol design, and to prove the protocolcode correct with respect to its formal specification. Another approach toboost confidence in the correctness of the implementation is to generateprotocol code automatically from the specification. However, the runtimeefficiency of this code is often insufficient. This has turned out to be amajor obstacle to the use of FDTs in practice.One of the FDTs currently applied to communication protocols is Es-telle. We show how runtime efficiency can be significantly improved byseveral measures carried out during the design, implementation and run-time of a protocol. Recent results of improvements in the efficiency ofEstelle-based protocol implementations are extended and interpreted.
In dieser Arbeit wird die Entwicklung eines Werkzeugs dargestellt, mit des-sen Hilfe die Analyse von Feature-Interaktionen in Intelligenten Netzwerkenunterstützt wird. Es basiert auf der formalen Beschreibungstechnik Estelle, wo-bei durch einen speziellen Spezifikationsstil Feature-Interaktionen anhand vonbestimmten Wechselwirkungen zwischen Transitionen verschiedener Features(u.a. Indeterminismus) erkannt werden können. Das Ziel ist dabei die statischeErkennung und Protokollierung dieser Wechselwirkungen sowie die Entfernungvon nicht ausführbaren Transitionen zur Laufzeitoptimierung.Dazu werden zunächst die theoretischen Möglichkeiten zur Erkennung dieserWechselwirkungen untersucht. Danach werden anhand der Implementierung desAnalysewerkzeugs die eingesetzten Methoden und Algorithmen dargestellt undschließlich der Einsatz des Werkzeugs erläutert, das auf dem Estelle-Compiler PET basiert.
Case-Based Reasoning for Decision Support and Diagnostic Problem Solving: The INRECA Approach
(1995)
INRECA offers tools and methods for developing, validating, and maintaining decision support systems. INRECA's basic technologies are inductive and case-based reasoning, namely KATE -INDUCTION (cf., e.g., Manago, 1989; Manago, 1990) and S3-CASE, a software product based on PATDEX (cf., e.g., Wess,1991; Richter & Wess, 1991; Althoff & Wess, 1991). Induction extracts decision knowledge from case databases. It brings to light patterns among cases and helps monitoring trends over time. Case-based rea -soning relates the engineer's current problem to past experiences.