systems insufficiently support the desired flexibility for workflows. In this article we present an approach, how certain kinds of adaptability can be achieved on the base of task modelling combined with the principle of "Order & Supply". Task models offer means to describe the way humans

in seven organizations, and results support its validity. A number of special features of the model are discussed (including its use as a basis for the diagnosis of jobs and the evaluation of job redesign projects), and the model is compared to other theories of job design. Work redesign is becoming

both the social world and cognitive-processing mechanisms impose niters on incoming information that distort it in a positive direction; negative information may be isolated and represented in as unthreatening a manner as possible. These positive illusions may be especially useful when an individual

that factor analysis and mixtures of gaussians can be implemented in autoencoder neural networks and learned using squared error plus the same regularization term. We introduce a new model for static data, known as sensible principal component analysis, as well as a novel concept of spatially adaptive

to expect Web services to be integrated as part of workflow processes. The composition of workflow processes that model e-service applications differs from the design of traditional workflows, in terms of the number of tasks (Web services) available to the composition process, in their heterogeneity

and cooperation between tasks), their relationship to the environment (e.g. the assignment of work task to agents) and the access to external databases. The conceptual model presented in this paper is a basis for achieving convergence of workflows and databases; the workflow description language being used

The adaptation process for new technology is not yet well understood. This study analyzes how an inter-organizational virtual team, tasked with creating a highly innovative product over a 10 month period, adapted the use of a collaborative technology and successfully achieved its challenging

Abstract. In this paper, we motivate integration of workflow and task modeling and present and compare workflow concept with those used in task modeling. The workflow concepts have natural task modeling correspondences and benifits of integrating them are suggested. We show how a workflow model can

In this report we show how the class of adaptive prediction methods that Sutton called "temporal difference," or TD, methods are related to the theory of squential decision making. TD methods have been used as "adaptive critics" in connectionist learning systems, and have been

the structure of the workflow, based on the induction of hidden markov models. The second algorithm, a standard decision rule induction algorithm, induces transition conditions. The main concepts have been implemented in a prototype, which we have validated using artificial process traces. We demonstrate