I n recent years, agent-based modeling has gained popularity in many scientific areas as a modeling tool capable of capturing the dynamics that arise from the interactions between individuals (e.g, Gilbert and Troitzsch, 2005). The perspective of this method, rooted in complexity theory, is that phenomena at the macro—or aggregated—level can be understood as emerging from interactions between i...

the long term goal attaining of economic system management requires the establishment of a dynamic framework to integrate multiple perspectives. this article considers the problem of economic development in macro level. as economic systems are complex adaptive systems composed of numerous numbers of components of dynamic and multidimensional nature, dynamics method is applied in this research. ...

Der Beitrag stellt auf Basis einer ersten empirischen Untersuchung den Status Quo des Geschäftsprozessmanagements (GPM) in der kommunalen Wirtschaftsförderung dar. Obwohl GPM in der öffentlichen Verwaltung ein Instrument von wachsender Bedeutung darstellt, wurde der Bereich kommunaler Selbstverwaltung hierzu bislang wissenschaftlich nicht evaluiert. Die vorliegende qualitative Voruntersuchung b...

In this paper we show how the abstract behaviours of higherorder systems can be modelled as final coalgebras of suitable behavioural functors. These functors have the challenging peculiarity to be circularly defined with their own final coalgebra. Our main contribution is a general construction for defining these functors, solving this circularity which is the essence of higher-order behaviours...

SUMMARY We present a new solution to the tree drawing problem that integrates an excellent tree drawing algorithm into one of the best text processing systems available. More precisely, we present a T E X macro package called TreeT E X that produces drawings of trees from a purely logical description. Our approach has three advantages: labels for nodes can be handled in a reasonable way; portin...

Learning Object Repositories (LOR) are the result of the activity of hundreds or thousands of contributing individuals. It has been shown in Ochoa & Duval, 2009 that LOR have an interesting macro-behavior, mostly governed by long-tailed distributions. The shape of these distributions provides valuable information for the management and operation of LORs. However, the reason why these distributi...

Macro-economic models describe the dynamics of economic quantities. The estimations and forecasts produced by such models play a substantial role for financial and political decisions. In this contribution we describe an approach based on genetic programming and symbolic regression to identify variable interactions in large datasets. In the proposed approach multiple symbolic regression runs ar...

A large and increasing number of modern embedded systems are subject to tight power/energy constraints. It has been demonstrated that the operating system (OS) can have a significant impact on the energy efficiency of the embedded system. Hence, analysis of the energy effects of the OS is of great importance. Conventional approaches to energy analysis of the OS (and embedded software, in genera...

We investigate a class of emerging online marketing challenges in social networks; macro behavioral targeting (MBT) is introduced as non-personalized broadcasting efforts to massive populations. We propose a new probabilistic graphical model for MBT. Further, a linear-time approximation method is proposed to circumvent an intractable parametric representation of user behaviors. We compare the p...

We present a micro-macro strategy able to describe the dynamics of crowds in heterogeneous media. Herein we focus on the example of pedestrian counterflow. The main working tools include the use of mass and porosity measures together with their transport as well as suitable application of a version of Radon-Nikodym Theorem formulated for finite measures. Finally, we illustrate numerically our m...