Erratic demands have traditionally shown complexity in inventory management and forecasting. Several organisations, especially in multi-product manufacturing systems with intermittent demand high level of variability and uncertainty, assume suitable estimators are put in place to forecast demand. This forces them to pay attention to controlling the inventory of a system. The forecasted demand i...

A hierarchical Bayesian learning framework is proposed to account for multi-level modeling in structural dynamics. In the system considered as a hierarchy of lower-level models, starting at lowest material level, progressing component then subsystem before ending up level. and uncertainty quantification techniques based on measurements that rely data collected only level cover quite limited num...

Free University Amsterdam, Dept. of Mathematics and Computer Science De Boelelaan 1081a, 1081 HV Amsterdam The Netherlands Email: [email protected] Abstract A number of specific aspects of (intelligent) multi-agent domains have not been considered from a conceptual modelling perspective. For example, dealing with changing worlds and simultaneously active agents the resulting interactivity and dyna...

The main goal of agent modelling is to extract and represent the knowledge about the behaviour of other agents. Nowadays, modelling an agent in multi-agent systems is increasingly becoming more complex and significant. Also, robotic soccer domain is an interesting environment where agent modelling can be used. In this paper, we present an approach to classify and compare the behaviour of a mult...

Various recently intensively investigated approaches, based on certain type of embedded intelligence exploitation, can be used also in the area of water management. A big class of them, based mainly on various types of multi-agent systems, are useful for incorporating complexity in ecosystem modelling in general. By incorporating a high degree of social and spatial heterogeneity multi-agent sys...

Our everyday lives and specially our social transactions require various types of coordination that incorporate decision making process within a dynamic uncertain environment under multiple constraints. Cooperation between members is an important coordination task which aims to maximize the overall utility. Rescue systems are good examples of these systems that their utility is a function of th...