of the agents’ behavior, and some rare contingencies may still be overlooked completely. The cost and risk involved with agent simulations can be reduced by analyzing a system theoretically and producing models of its behavior. We use such a theoretical approach to examine the dynamics of a population of agents

dynamics of human motion, the motion texture is modeled by a Non-Stationary Switching Linear Dynamic System (NS-SLDS), which improves the Switching Linear Dynamic System (SLDS) by non-stationary functions. A BSK-tree (Binary Key-pose Splitting Tree) retrieval method applied in motons supplies the ability

, incorporating both color and texture through a dynamic representation of image details. This representation is ideally suited for horizon detection and sky/ground segmentation of images, which we accomplish through the probabilistic representation of tree-structured belief networks (TSBN). Specifically, we

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Abstract. We review theoretical models of individual motility as well as collective dynamics and pattern formation of active particles. We focus on simple models of active dynamics with a particular emphasis on nonlinear and stochastic dynamics of such self-propelled entities in the framework

and recurrent switching between “bull ” and “bear ” market phases via a well-known pitchfork and period-doubling bifurcation path, when technical traders become more aggressive. The two stock markets are populated by fundamentalists, and prices tend to evolve towards stable steady states, driven by linear laws

some of the current cluster's variables and then passing a message to one of its neighbors. We discuss the application of Sample Propagation to conditional Gaussian inference problems such as switching linear dynamical systems.

Abstract—Mathematical models play a pivotal role in understanding and designing advanced low-power wireless systems. However, the distributed and uncoordinated operation of traditional multi-hop low-power wireless protocols greatly complicates their accurate modeling. This is mainly because

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adequate quality-of-service, systems must be subjected to a rigorous performance and scalability analysis before they are put into produc-tion. In this paper, we present a comprehensive modeling methodology for message-oriented event-driven systems in the context of a case study of a representative ap