PLAN C, an Agent-Based Model platform for urban disaster simulation and emergency planning, features a variety of reality-based agents interacting on a realistic city map and can simulate the complex dynamics of emergency responses in different urban catastrophe scenarios. Work reported here focuses on the incorporation of specific subpopulations of person agents, reflecting the existence of in...

We describe empirical results from a multi-disciplinary project that support modeling complex processes of land-use and land-cover change in exurban parts of Southeastern Michigan. Based on two different conceptual models, one describing the evolution of urban form as a consequence of residential preferences and the other describing land-cover changes in an exurban township as a consequence of ...

This paper reformulates a time-discontinuous finite element method (TD-FEM) based on a new class of shape functions, called complex Fourier hereafter, for solving two-dimensional elastodynamic problems. These shape functions, which are derived from their corresponding radial basis functions, have some advantages such as the satisfaction of exponential and trigonometric function fields in comple...

Tichu is a popular trick-taking climbing card game that involves strong strategic play along with elements of chance. Apart from the typical search-based methods that employ domain-dependent or domain-independent mechanisms for selecting the most promising action at each step of the game, the complex dynamics that arise from the team-play feature of Tichu suggests the use of agent-based techniq...

ASiDE is an actor-based software framework that has the goals of simplifying the development of large and distributed complex systems and of guarantying an efficient execution of applications. This software framework provides a flexible actor implementation that simplifies the writing of the actors by delegating the management of events (i.e., the reception of messages) to the execution environ...

In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and h...

Agent-based simulation is used to understand complex systems and to experiment several scenarios. In classical simulation frameworks, a pitfall is the fact that the action phase, based on local agent context analysis, is repeated in each agent at each time cycle during the simulation execution. This analysis inside the agents reduces agent flexibility and limits agent behavior reuse in various ...