Titlebook: KI-95: Advances in Artificial Intelligence; 19th Annual German C Ipke Wachsmuth,Claus-Rainer Rollinger,Wilfried Bra Conference proceedings

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Partially observable Markov decision processes for artificial intelligence,ins. In many cases, we have developed new ways of viewing the problem that are, perhaps, more consistent with the AI perspective. We begin by introducing the theory of Markov decision processes (.) and partially observable Markov decision processes .s. We then outline a novel algorithm for solving .

FADE

Robust processing of natural language, analysis cannot be provided by “normal” means. This schema implies, that error detection always comes prior to error handling, a behaviour which hardly can compete with its human model, where many erroneous situations are treated without even noticing them. The paper analyses the necessary precondi

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The problem of signal and symbol integration: A study of cooperative mobile autonomous agent behavihe signal and symbol integration as viewed by the Artificial Intelligence (AI), Robotics and Computer Vision communities. The domain of autonomous robotic agents residing in the dynamically changing environments anchors well different aspects of this integration and allows us to look at the problem

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规章

Dynamic structuring of lexical knowledge in a reusability scenario,ructure extended by local converters. A dynamic organization is an adequate mechanism to mediate between the diversity of already given and newly introduced lexical resources. Moreover this organization supports lexical import as well as lexical export. This paper presents the theoretical and practi

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Parallelizing description logics,dialects, or complete inference algorithms. In this paper we investigate the potential of parallelizing DL algorithms to meet this challenge. Instead of relying on a parallelism inherent in logic programming languages, we propose to exploit the application-specific potentials of DL and to use a more