Agent-Based Modeling has the capability to become a very powerful tool in economics, but in order to achieve this will require a great deal of effort on the part of its current practitioners. Economics at its core studies people and their actions. This is inherently difficult to do since the motivation of people is not always discernible. A method by which the variety of human behavior could be...

Recent events have highlighted the importance of good models of crowds, however many existing crowd models are either computationally inefficient, or are missing a crucial human behaviour in crowds: local pushing. After discussing some essential aspects of force in crowds, and considering some existing models, we propose an efficient agent-based model of crowd evacuation that incorporates pushi...

This paper presents an integrative agent model for adaptive human-aware information presentation. Within the agent model, meant to support humans in demanding tasks, a domain model is integrated which consists of a dynamical model for human functioning, and a model determining the effects of information presentation. The integrative agent model applies modelbased reasoning methods to the domain...

The focus of the research is mainly methodological. The goal is to develop a framework for comparing computational, agent-based models for land-use decision making. The framework will allow studying spatial patterns emerging from different distributions of agent characteristics, learning and communications schemes, initial spatial configurations, and varying spatial suitabilities. The framework...

in this paper we propose novel algorithms for retrieving dental images from databases by their contents. based on special information of dental images, for better content based dental image retrieval and representation, the image attributes are used. we propose disr (dental image segmentation and retrieval), a content-based image retrieval method which is robust to translation and scaling of th...