The Character of Human Behavior Representation and Its Impact on the Validation Issue

Rainer Knauf and Ilka Philippow, Ilmenau Technical University, Germany; Avelino J. Gonzalez, University of Central Florida, USA; Klaus P. Jantke, German Research Center for Artificial Intelligence, Ltd., Germany

Human behavior representations (HBRs, for short) are a challange for system developers and validation technologies. Authors agree that classical technologies of knowledge processing can not adaequately be applied to HBRs and publish first ideas towards appropriate architectures. In fact, their suggestions are usually driven by a particular application field. To illustrate some characteristics and their impact on validation technologies we introduce a tiny example and outline characteristic features. The upcoming exemplary insights nicly confirm the problems reported by other authors and raise at least two major insights: (1) First research steps should aim at a classification of HBR systems that need different architechtures as well as validation technonlogies. (2) The key to successful HBR systems is an integrated approach of developing and validating HBR systems at all stages.

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