AgentCities 2015 - 2nd International Workshop on Agent-based Modeling and Simulation of Cities

The modeling of the dynamics of the cities and their population is of great theoretical and practical interest. In the past two-decade research from a broad range of fields such as computer graphics, physics, robotics, energy, social science, safety science and training systems has created simulations involving collections of elements (individuals or devices) immersed in cities. Many works have been devoted to the study of collective behaviors and their inherent emergent properties such as spontaneous organizations of pedestrians into lines, oscillations at gates, etc. Among all the existing approaches in simulation, those offering the highest level of realism in behavior are microscopic approaches because they explicitly attempt to model the features that take part in the expression of specific behaviors of individuals. Agent-Based Simulations (ABS) are one of the approaches to support micro-simulation. ABS principle relies upon a set of autonomous agents, which encapsulate the behaviors of individual entities (pedestrians, vehicles, devices...) Agent-based modeling allows complex behaviors of various interacting entities to emerge from a set of simpler behaviors. Phenomena such as flocks of birds, schools of fish and crowds are good examples of how systems with simple goals can exhibit emergent behaviors as the result of the interactions between the individuals. Moreover, in contrast to other micro-simulation techniques, ABS allows to catch the variety of behaviors composing a real system easily. ABS has proven to be well suited for the simulation of situations where there is a large number of heterogeneous individuals who may behave somewhat differently. However, as soon as we consider a micro-simulation of several agents and their relationships, the complexity of the system and associated computational costs increase. We are therefore faced a dilemma common in the field of simulation: to manage a compromise between performance and accuracy. The goal of AgentCities is to provides a place where the different points of view on the modeling and the simulation of the city's dynamics may be discussed. A particular focus is made on agent-based models. The accepted application domains are various, from crowds, to smart grid, including transport and traffic models. AgentCities 2015 will be held in London, UK (2-5 June 2015) in conjunction with the 6th International Conference on Ambient Systems, Networks, and Technologies (ANT 2015).
Topics
Methods and Models:
Agent based Modeling and Simulation
Holonic models
Agent based Simulation of large scale urban systems
Agent oriented analysis and design methods
Ontologies and theories about large urban systems
Smart city models
Formal models of agent-based simulation
Organizational models
Applications:
Traffic/Transport
Crowds
Smard grids and smart buildings
Land-Use