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- ZeitschriftenartikelActive Learning for Recommender Systems(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Karimi, Rasoul
- ZeitschriftenartikelAdvanced Driver Assistance Systems and Animals(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Bendel, OliverAdvanced driver assistance systems are widely used. Some support and inform the driver. Others relieve him or her of certain tasks—and transform the human-guided system into a semi-autonomous one. For some years also fully autonomous systems have been on the roads, so-called self-driving cars, as prototypes of companies and within research projects. From the perspective of ethics—both of the special fields of ethics like animal ethics, information ethics and technology ethics and of machine ethics which can be understood as a counterpart to human ethics—advanced driver assistance systems raise various questions. The aim of this paper is to derive suggestions from animal ethics and other disciplines for the improvement and development of the systems. The basis are literature analysis and own classifications and considerations. The result is that there are many possibilities to expand existing systems and to develop new functions in the context with the aim to reduce the number of animal victims.
- ZeitschriftenartikelCharacterisation of Large Changes in Wind Power for the Day-Ahead Market Using a Fuzzy Logic Approach(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Martínez-Arellano, Giovanna; Nolle, Lars; Cant, Richard; Lotfi, Ahmad; Windmill, ChristopherWind power has become one of the renewable resources with a major growth in the electricity market. However, due to its inherent variability, forecasting techniques are necessary for the optimum scheduling of the electric grid, specially during ramp events. These large changes in wind power may not be captured by wind power point forecasts even with very high resolution numerical weather prediction models. In this paper, a fuzzy approach for wind power ramp characterisation is presented. The main benefit of this technique is that it avoids the binary definition of ramp event, allowing to identify changes in power output that can potentially turn into ramp events when the total percentage of change to be considered a ramp event is not met. To study the application of this technique, wind power forecasts were obtained and their corresponding error estimated using genetic programming and quantile regression forests. The error distributions were incorporated into the characterisation process, which according to the results, improve significantly the ramp capture. Results are presented using colour maps, which provide a useful way to interpret the characteristics of the ramp events.
- ZeitschriftenartikelEditorial 28/4(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Ludwig, Bernd
- ZeitschriftenartikelEmpirical Evidence for Context-aware Interfaces to Pedestrian Navigation Systems(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Ludwig, Bernd; Müller, Manuel; Ohm, ChristinaFor geographical mobile search tasks it is rarely sufficient to assist users identifying what location they are currently looking for, e.g. a store, cafe or museum. Often the user needs support in being guided to a retrieved location in a physical space. This means that mobile search is strongly connected with navigation. There is a large body of work indicating that navigating towards points of interest is challenging for many people. In this work we explore how to support best this part of the task by investigating how objects in the physical world—landmarks—can be used in information systems to guide people to their desired location. We present the results of a series of eye tracking studies on the orientation behavior of persons executing indoor navigation tasks. The main finding of the studies is that the contextual relevance and the function of a landmark for completing the task efficiently matters more than the context-free salience of the same landmark. The findings have implications for the design of mobile search systems that support geographical search tasks as they lead to new context-adaptive strategies for navigation systems to explain routes. We provide evidence that even the interface has to adapt its content on the state of the navigation task and the current spatial context in order to provide user- and context-adaptive intuitive interaction.
- ZeitschriftenartikelIs Model-Based Robot Programming a Mirage? A Brief Survey of AI Reasoning in Robotics(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Pecora, FedericoResearchers in AI and Robotics have in common the desire to “make robots intelligent”, evidence of which can be traced back to the earliest AI systems. One major contribution of AI to Robotics is the model-centered approach, whereby intelligence is the result of reasoning in models of the world which can be changed to suit different environments, physical capabilities, and tasks. Dually, robots have contributed to the formulation and resolution of challenging issues in AI, and are constantly eroding the modeling abstractions underlying AI problem solving techniques. Forty-eight years after the first AI-driven robot, this article provides an updated perspective on the successes and challenges which lie at the intersection of AI and Robotics.
- ZeitschriftenartikelKI und Robotik für das Human Brain Project(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Visser, Ubbo
- ZeitschriftenartikelModeling Reality for Camera Registration in Augmented Reality Applications(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Pagani, Alain
- ZeitschriftenartikelNews(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014)
- ZeitschriftenartikelProcess-Optimized Planning for Cooperative Mobile Robots(KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Scheuren, Stephan