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Agenten und Simulierte Realität

Research department/group

Agents and Simulated Reality

The research department Agents and Simulated Reality (ASR) conducts research in the areas visual computing, multi-agent systems and formal methods for safe and secure systems in the context of interactive 3D simulations and visualizations as well as other applications. Using Simulated Reality, real-world scenarios can be accurately depicted and predictions about their behavior can be made. Research in ASR allows for visualizing and simulating complex scenarios, such as industrial production lines, cities, or even biological cells. Semantic information is tightly integrated with the models and provides the context for the simulations and visualizations. Highly optimized software platforms for multi- and many-core systems enable physically-correct representations as well as direct interaction with complex 3D simulations. A special focus is on Web-based solutions directly in HTML-5 using our XML3D technology to guarantee a universal access and wide distribution.

Simulated Reality allows for accurately reproducing real world scenarios in the computer and making predictions about their behavior. Today, reliable predictions of the development and the behavior of complex systems are essential for the planning, development and operation of industrial plants, in production, trade, automotive and aerospace industries, as well as many other areas. The DFKI research department "Agents and Simulated Reality (ASR)" combines competencies from the core fields of Visual Computing and Artificial Intelligence, particularly in multi-agent systems and formal methods for safe and secure systems.


Intelligent Agents, Multiagent Systems and Semantic Technologies

Intelligent agents are software modules which are able to accomplish situationally optimal solutions of complex problems based on independent, reactive and goal-oriented application of appropriate methods of artificial intelligence (AI). Multiagent systems are modelling, simulating and optimising complex systems through ways of interaction between such agents that go beyond the capabilities of individual agents. Semantic technologies are concerned with the automated reasoning on resources in the Web based on machine-understandable descriptions of their semantics in formal standard ontology languages like OWL2 and RDFS. Intelligent (software) agents can leverage semantic technologies to perform, for example, high-precision search, composition planning, simulation and rational negotiation of semantically relevant data and services in the Internet.

Our research on intelligent agents and semantic technologies focuses on scalable, distributed and hybrid action planning, model-driven development of multiagent systems, and intelligent coordination of data and web services. Research results are leveraged for the development of intelligent information systems and applications in a variety of domains including virtual (3D) worlds, 3D-Web, Web 2.0, E-Business, Transport and Logistics, Renewable Energy, and E-Health.


Safe and Secure Systems

The Safe and Secure Systems research group develops methods for the verification and evaluation of safety and security features in IT. In particular, the development methodology is based on scientific research, allowing the application of formally sound tools. The developed technologies include formal modelling techniques, interactive methods of deduction and the management of the artifacts of developments. Hybrid verification extends the methodology to continuous systems with e.g. spatial or temporal properties, so that determinations concerning safety about the entire system - including the control software - can be made. With its recognized IT Security Evaluation Laboratory, the DFKI is offering independent assessments of the security of information technology in compliance with internationally standardised and accepted criteria (CC - common criteria).

Simulated Reality

The ability to accurately model and simulate reality and thus make predictions is a key element of our fast-moving industry. The Agents and Simulated Reality Department uses dynamic large-scale, highly detailed 3D environments to realistically model relevant scenarios, such as complex production lines, ancient cities, or biological cells. Adding semantic information provides the context to run simulations that accurately predict properties (e.g. illumination, acoustics, traffic, etc.) of such systems. High-performance implementations on multi- and many-core systems enable highly realistic realtime display, e.g. using Realtime Ray Tracing, as well as realtime interaction, even with complex simulated realities using fully immersive VR environments.

Visual Computing

Visual Computing und interactive Visualization of complex 3D-Models not only provides an intuitive and insightful presentation, it also extends the simulation with respect to visual re liability (predictive Visualization) by accurately computing material properties, light distribution, and model details. With XML3D we develop key components for realizing interactive 3D environments for current Web browsers and thus for the future 3D Internet. “Displays as a Service (DaaS)” virtualizes physical display devices and can distribute them to arbitrary devices across the Internet. Highly-optimized software platforms for Multi-and many-core systems enable not only physically-correct real-time visualizations but also the dynamic interaction of the user with complex simulations. The user and its interaction with the system are in the center of our research.

Simulation & Visualization

An application example of the research is the simulation and visualization of production processes: for the increasing individualization of products and shorter product cycles, potential cost reduction lies within the optimization of setup and turnaround times. With multi-agent systems, the processes of individual process steps are recorded and simulated in 3D. The formal modeling of systems and their processes as hybrid systems allows guaranteed statements, which at the same time take into account the discrete control software as the spatio-temporal behavior of plants. By running a visual inspection of the facilities and their operations based on the three-dimensional representation of the simulation and verification, a rapid assessment of the planning is possible. Interactive and immersive training scenarios on a virtual 3D model can be made during the conversion of the plant.

Future Internet

Such applications will be especially important in the Future Internet. Dual- or Mixed-Reality, i.e. applications that establish a direct coupling of a virtual and a real plant, as well as their simulation, will allow direct access to individual machines for maintenance and control even over long distances. These single applications are embedded in distributed, interactive, virtual environments that simulate entire plants, factories, production facilities, municipalities or companies and provide intuitive access thanks to the sculptural metaphor of a three-dimensional world.

Head:  Prof. Dr. Philipp Slusallek


German Research Center for Artificial Intelligence, DFKI GmbH
Campus D3_2
Stuhlsatzenhausweg 3
D-66123 Saarbruecken

Phone: +49 681 85775 5276
Fax: +49 681 85775 2235
eMail: Philipp.Slusallek@dfki.de