Abstract—We describe and analyze emergent behavior and its effect for a class of preypredators’ simulation models. The simulation uses rule-based agent behavior and follows a p...
Seongdong Kim, Christoph Hoffmann, Varun Ramachand...
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Abstract. This paper overviews our currently in progress agent communication language simulator, called DIAGAL, by describing its use in analyzing and modelling automated conversat...
Metamodels are functions with calibrated parameters, used actions and simplifications of the simulation model. A metamodel exposes the system’s input-output relationship and ca...
Discrete event simulation modelling has been extensively used in modelling complex systems. Although it offers great conceptual-modelling flexibility, it is both computationally e...