Meta-level performance management of simulation: The problem context retrieval approach

This paper introduces an approach for meta-level performance management of simulation. The paper focuses on the efficiency of modelling and simulation of organisational ICT and related BP systems. The analysis of these systems is essential for the analysis and design of ERP (Enterprise Resource Planning) systems. Projects initiated for the simulation of these systems frequently lead to the use of complex models with a high computing capacity requirement (showing the importance of efficiency) and typically, they are executed in a changing problem context environment. The performance management approach proposed by the paper provides methodological support for problem context transitions based on the models of changing problem contexts and on the set of efficiency principles (taking into account the efficiency of transitions too) together with a formal information retrieval based model of efficiency. This efficiency model takes into account both short- and long-term efficiency requirements, namely the efficiency of each step and the efficiency of the whole simulation process

An open learning system

In this paper we discuss an approach for achieving high adaptivity in complex dynamic environments through learning. Unlike in traditional approaches, where adaptive systems need to be strongly equipped with knowledge about their environment and possible adaptation strategies, we propose a direction where the level of original preconceptions is kept low. In our model, both the knowledge and the strategies emerge dynamically and flexibly, during the system´s normal operation. The proposed model also includes a mechanism that systematically replaces old preconceptions with more accurate ones (e.g. to observe new features). The proposed principles were evaluated in a theoretical world via simulation; where the adaptive system was challenged to win an amoeba game against opponents with different strategies, and changing game rules (3-7 long series required to win)