Now showing items 61-70 of 7539
Ontology-Based Multiple Choice Question Generation
KI - Künstliche Intelligenz: Vol. 30, No. 2
Multiple choice questions (MCQs) are considered highly useful (being easy to take or mark) but quite difficult to create and large numbers are needed to form valid exams and associated practice materials. The idea of re-using an existing ontology to generate MCQs almost suggests itself and has been explored in various ...
Künstliche Intelligenz in der Logistik
KI - Künstliche Intelligenz: Vol. 24, No. 2
Der Logistik kommt seit Anfang der 90er Jahre für die Planung und Implementierung global verteilter Produktion eine Schlüsselrolle zu. Die hierbei zu bewältigenden Aufgaben beinhalten durch die Integration unterschiedlichster Akteure eine inhärente Komplexität, die mit konventionellen Ansätzen nicht oder nur mit erheblichen ...
Interview mit Prof. Wolfgang Wahlster, Leiter des DFKI und Professor an der Universität des Saarlandes
KI - Künstliche Intelligenz: Vol. 25, No. 4
Interview with Josep Domingo-Ferrer and Chris Clifton on Privacy in Spatiotemporal Data Analysis
KI - Künstliche Intelligenz: Vol. 26, No. 3
Knowledge-Based General Game Playing
KI - Künstliche Intelligenz: Vol. 25, No. 1
Although we humans cannot compete with computers at simple brute-force search, this is often more than compensated for by our ability to discover structures in new games and to quickly learn how to perform highly selective, informed search. To attain the same level of intelligence, general game playing systems must be ...
Lifelong Map Learning for Graph-based SLAM in Static Environments
KI - Künstliche Intelligenz: Vol. 24, No. 3
In this paper, we address the problem of lifelong map learning in static environments with mobile robots using the graph-based formulation of the simultaneous localization and mapping problem. The pose graph, which stores the poses of the robot and spatial constraints between them, is the central data structure in ...
Online Learning of Bipedal Walking Stabilization
KI - Künstliche Intelligenz: Vol. 29, No. 4
Bipedal walking is a complex whole-body motion with inherently unstable dynamics that makes the design of a robust controller particularly challenging. While a walk controller could potentially be learned with the hardware in the loop, the destructive nature of exploratory motions and the impracticality of a high number ...
KI - Künstliche Intelligenz: Vol. 25, No. 2
Robotic systems for outdoor applications can play an important role in the future. Tasks like exploration, surveillance or search and rescue missions benefit greatly from increased autonomy of the available systems. Outdoor environments and their high complexity pose a special challenge for existing autonomous behaviour ...
16 Years of RoboCup Rescue
KI - Künstliche Intelligenz: Vol. 30, No. 0
The RoboCup Rescue competitions have been initiated in 2000. To celebrate 16 years of research and development in this socially relevant initiative this article gives an overview of the experience gained during these competitions. This article provides an overview the state-of-the-art and the lessons learned from the ...