Techniques for augmenting the automation of routine coordination are rapidly reaching a level of effectiveness where they can simulate realistic coordination on the ground for large numbers of emergency response entities (e.g. fire engines, police cars) for the sake of training. Furthermore, it seems inevitable that future disaster response systems will utilize such technology. We have construc...

The 2-degree guardrail of global warming, together with accelerating urbanization and growing scarcity of oil, demands a redesign of todays’ sprawling cities in order to limit greenhouse gases and bring about efficiently built-up structures. In 2001, 42 percent of commuter paths within Vienna are traveled by private cars. This week-daily, recurring traffic pattern causes tons of Co2 and support...

We present a systematic characterization of coherent anti-Stokes Raman scattering (CARS) microscopy. CARS signal generation in a heterogeneous sample under a tight-focusing condition is formulated by the Green’s function method. The CARS radiation pattern and the forwardand backward-detected CARS signals from a three-dimensional Raman scatterer are calculated. The coherent nature of CARS image ...

This chapter shows that networks can have large and differentiated effects on behavior and then argues that social and economic pressures facilitate the formation of heterogenous networks. Thus networks can play an important role in understanding the diversity of human behavior and economic outcomes that are empirically observed. ∗Faculty of Economics and Christ’s College, University of Cambrid...

In this paper we present SinCity, a pedagogical testbed to compare multi-agent learning strategies. SinCity has been developed in NetLogo and it can be considered as an extension of the simple predator-prey pursuit problem. In our case, we model a police/thief pursuit in an urban grid environment where several elements (cars, traffic lights, etc.) may interact with the agents in the simulation....

The paper discusses problems in automated processing and classification of unstructured text information and suggests a new approach based on the multi-agent technology. The approach was applied for one of UK insurance companies to analyze 25000 documents related to car insurance domain, leading to development of a system, capable to analyze documents, classify them into hierarchical semantic s...

Managing traffic in cities is nowadays a complex problem involving considerable physical and economical resources. Multi-agent Systems (MAS) consist of a set of distributed, usually co-operating, agents that act autonomously. The traffic in a city can be simulated by a MAS with different agents, cars and traffic lights, that interact to obtain an overall goal: to reduce average waiting times fo...

Evacuation and egress simulations can be a useful tool for studying the effect of design decisions on the flow of agent movement. This type of simulation can be used to determine before hand the effect of design decisions and enable exploration of potential improvements. In this work, we study at how agent egress is affected by the environment in real world and large scale virtual environments ...

This paper focuses on traffic simulation generated by the multi-agent simulation framework TRASS (Traffic Simulation System). TRASS-based simulations conceive agents as individual traffic participants moving in an artificial environment and which can be described in a three-layer agent model. There is no restriction on any particular kind of road users such as cars or pedestrians, but a concept...