


German Journal on Artificial Intelligence - Organ des Fachbereichs "Künstliche Intelligenz" der Gesellschaft für Informatik e.V.
Managing editor: K.-D. Althoff
ISSN: 0933-1875
(print version)
ISSN: 1610-1987
(electronic version)
Journal no. 13218
The Scientific journal "KI – Künstliche Intelligenz" is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society – with contributions from throughout the field of artificial intelligence. The journal presents all relevant aspects of artificial intelligence – the fundamentals and tools, their use and adaptation for scientific purposes, and applications which are implemented using AI methods – and thus provides the reader with the latest developments in and well-founded background information on all relevant aspects of artificial intelligence. For all members of the AI community the journal provides quick access to current topics in the field and promotes vital interdisciplinary interchange.
Preview:
Artificial Intelligence in Agriculture
Especially for the Artificial Intelligence, this context reveals a variety of high-potential technologies to be applied, as the agricultural and environmental domains provide a steadily growing pool of publicly accessible knowledge, which is financed and maintained from governmental organizations. Innovative AI technologies can significantly contribute to organize, connect, and further develop this knowledge in order to better supply the collective demand for food.
Topics for the call-for-papers (not limited to) are:
- Instrumentation and Sensor Technology
- Information Management
- Ergonomics in Agriculture and Food Processing
- Environment Control
- Data Mining
- Location-based Services
- Forecasting Systems
- Robotics and Mechatronics
- Resource Planning
- Mobile, Collaborative Agents
- Innovative Interaction/Operating Concepts/Paradigms
- Optimization of Value Chains
- Intelligent Soil Management (Cultivation of Land)
- AI-based Evaluation and Decision Making
- Precision Agriculture
- Simulation
Prof. Dr. Prof. h.c. Andreas Dengel
German Research Center for Artificial Intelligence (DFKI)
Trippstadter Str. 122, D-67663 Kaiserslautern
Phone +49-631-20575-1000
Fax +49-631-20575-1020
Email andreas.dengel@dfki.de
This special issue will cover all aspects of transfer learning, including but not limited to:
- Knowledge, task, and state-space representation
- Inter-task mappings of states and actions
- Source task selection
- Evaluation methods
- Reward shaping
- Meta learning
- Life-long learning
- Applications, e.g. robotics.
We are seeking a wide range of contribution formats for the special issue, e.g. technical articles, surveys, interviews, project descriptions, and lab portraits. To suggest a contribution, please contact as soon as possible:
Dr. Daniel Kudenko
kudenko@cs.york.ac.uk
Department of Computer Science
University of York
York, YO105GH
United Kingdom
Space Robotics
While Space Exploration may be considered anything but dull, it certainly is very dangerous. Expanding our knowledge on the solar system to look for clues to such fundamental questions as the origins of life, or a sustained human presence on anything other than earth may well be worth the risk. The involved costs for mitigating the risk of human space flight are prohibitive. Robotic missions, like the hugely successful Mars Exploration Rovers, have shown that Robotics as a sub-field of Artificial Intelligence can perform scientific exploration activities without human presence, and will play an even more prominent role in future mission scenarios. World wide technology research efforts are continuesly expanded the capabilities of mobile robotic systems. This special issue on "Space Robotics" of the Künstliche Intelligenz Journal seeks to present a collection of research efforts, industry activities and other insights into this hugely interesting and versatile field of AI.
The topics of interest include, but are not limited to:
- Exploration systems and technologies
- Orbital servicing
- Human mission support
- Operations support
- System design/architecture/behavior
The Künstliche Intelligenz journal supports the following lists of formats: Technical contributions, research projects, discussions, dissertation abstracts, conference reports and book reviews. If you are interested in contributing to this special issue, please contact one of the guest editors:
Jakob Schwendner
Robotics Innovation Center
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
28359 Bremen
jakob.schwendner@dfki.de
Prof. Frank Kirchner
Robotics Innovation Center
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
28359 Bremen
frank.kirchner@dfki.de
Bernd Sommer
Deutschen Zentrums für Luft- und Raumfahrt (DLR)
Königswintererstrasse 522-524
53227 Bonn
bernd.Sommer@dlr.de
Related subjects » Artificial Intelligence - Software Engineering
SCOPUS, INSPEC, Google Scholar, DBLP, OCLC, SCImago, Summon by Serial Solutions
Artificial Intelligence has successfully established itself as a scientific discipline in research and education and has become an integral part of Computer Science with an interdisciplinary character. AI deals with both the development of information processing systems that deliver “intelligent” services and with the modeling of human cognitive skills with the help of information processing systems. Research, development and applications in the field of AI pursue the general goal of creating processes for taking in and processing information that more closely resemble human problem-solving behavior, and to subsequently use those processes to derive methods that enhance and qualitatively improve conventional information processing systems.
The Scientific journal KI – Künstliche Intelligenz is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society – with contributions from throughout the field of artificial intelligence. The journal presents all relevant aspects of artificial intelligence – the fundamentals and tools, their use and adaptation for scientific purposes, and applications that are implemented using AI methods – and thus provides readers with the latest developments in and well-founded background information on all relevant aspects of artificial intelligence. A highly reputed team of editors from both university and industry will ensure the scientific quality of the articles.
The journal provides all members of the AI community with quick access to current topics in the field, while also promoting vital interdisciplinary interchange.
The journal is published in English; articles in German are also accepted
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