The term computer simulation is related to the usage of a computational model in order to improve the understanding of a system's behavior and/or to evaluate strategies for its operation, in explanatory or predictive schemes. There are cases in which practical or ethical reasons make it impossible to realize direct observations: in these cases, the possibility of realizing 'in-machina' experime...

A clear consensus among the papers in this Colloquium is that agent-based modeling is a revolutionary development for social science. However, the reasons to expect this revolution lie more in the potential seen in this tool than through realized results. In order for the anticipated revolution to occur, a series of challenges must be met. This paper surveys the challenges suggested by the pape...

ESRI has 25 years of experience creating spatial modeling tools for vector and raster analysis. In the last five years we have built a geoprocessing modeling environment that synthesizes our experience in spatial modeling into an easy to use, flexible framework. Within the framework hundreds of spatial modeling functions are available each as individual tools that can be accessed from dialogs, ...

peared? Was this caused by climate changes? What type of recruitment strategy among social insects is best adapted to their particular environment? How much time does it take to evacuate an airport if people have limited perception caused by smoke as well as restricted mobility? What if many of these people travel in groups or families? How long does it take for commuters to reach their destina...

In this paper, an agent-based structure of the electricity retail market is presented based on which day-ahead (DA) energy procurement for customers is modeled. Here, we focus on operation of only one Retail Energy Provider (REP) agent who purchases energy from DA pool-based wholesale market and offers DA real time tariffs to a group of its customers. As a model of customer response to the offe...

Agent researchers are still trying to determine useful ways of representing agents and agent-based systems. So this paper presents a proposal for a Systematic Approach for Agent Design by using Unified Modeling Language (UML) diagram. In this paper we illustrate notions for the behavior of an agent using and extending UML class diagrams. Focus on representing the agent migration from take reque...

Repast is a widely used, free, and open-source agent-based modeling and simulation toolkit. Three Repast platforms are currently available, each of which has the same core features but a different environment for these features. Repast Simphony (Repast S) extends the Repast portfolio by offering a new approach to simulation development and execution. This tutorial presents a simple “boids” styl...

The problem of modeling large-scale virtual urban environments has remained challenging for computer graphics researchers and urban planners. Cities are difficult to model in detail, since they hold diverse and complex geometries. Building large-scale 3D city models by means of photogrammetric reconstruction is a time and resource intensive, often semi-automatic process and does not provide dat...

A number of related yet distinct subfields of GIScience associated with representing geographic dynamics have recently emerged. Researchers in spatio-temporal theory and data modeling, spatial process modeling, complex systems, and agent-based modeling all consider dynamic (or temporal) aspects of geographic phenomena germane to their respective specialty. Given this common ground, an obvious q...

In the past, research on agent-oriented software engineering had been widely lacking touch with the world of industrial software development. Recently, a cooperation has been established between the Foundation of Intelligent Physical Agents (FIPA) and the Object Management Group (OMG) aiming to increase acceptance of agent technology in industry by relating to de facto standards (object-oriente...