Constraints Applied to Configurations
A configurator using generative constraint satisfaction is presented. The configurator is applied for large EWSD telecommunication switches produced by Siemens AG. The configurator has been in production use for more than four years and has required remarkably little maintenance effort. The knowledge representation with declarative constraints proved successful for modeling and solving large configuration tasks for real-world systems.
From Theory to Practice: AI Planning for High Performant Elevator Control
Offering an individually tailored service to passengers while maintaining a high transportation capacity of an elevator group is an upcoming challenge in the elevator business, which cannot be met by software methods traditionally used in this industry.
AI planning offers a novel solution to these control problems: (1) by synthesizing the optimal control for any situation occurring in a building based on fast search algorithms, (2) by implementing a domain model, which allows to easily add new features to the control software.
By embedding the planner into a multi-agent system, real-time interleaved planning and execution becomes possible and results in a high-peformant, self-adaptive, and modular control software.
The talk presents results from a development project the author was doing in a former engagement for Schindler Aufzüge AG, Ebikon, Switzerland.
Neural Net Speech Recognizers -- Voice Remote Control Devices for Disabled People
Reliable real world speech recognition is still a non-trivial task. One of the most challenging applications is voice control for disabled people. For many users of such a system, voice is the only means of communication - they are not able to activate or deactivate their voice control manually, or to correct false actions resulting from speech recognition errors. A voice remote control for disabled people is a 24-hours-a-day device, which must respond reliably and, at the same time, must avoid unintentional activation due to background noise, music or conversation. Moreover, in order to allow for emergency calls under all circumstances, it should not depend on external power supply - the hardware must be of low power consumption, thus requiring speech recognition algorithms of low computational complexity. With Neural Net Speech Recognizers, it was possible to build voice remote control devices that fulfill all these requirements simultaneously.
Semantic Networks in a Knowledge Management Portal
We present a navigable semantic network, that can be calculated automatically from document database, as an important component of a knowledge management portal that was developed for a corporate intranet. Users of the portal can navigate through a semantic network of terms, that helps users to determine the company specific meaning of terms. The semantic network utilizes the standard search engine of the portal and offers a query expansion mechanism for unknown terms, that retrieves only documents with a company specific default meaning.
Collaborative Supply Net Management
With the advent of web technologies the supply logistics in industry received a boost in what nowadays is called eSupply, Supply Chain Management (SCM), or - even more appropriate - Supply Net Management. In this talk in the first instance research in this domain is motivated by sketching the complexity of SCM especially in automotive industry and by showing up possible pathways into a visionary future. Then essentially two current research tracks in DaimlerChrysler Research and Technology are addressed, namely (1) supply net configuration, simulation and assessment, and (2) distributed supply net planning. In both domains agent technology is used, partly together with other AI techniques (e.g. constraint solving).