Agent-Based Modeling (ABM) and simulation have gained popularity in the Geographic Information Systems (GIS) domain. Despite the increasing number of models built by experts and users, it remains challenging for users to specify their models in a manner in which one can understand it. This constraint represents an inhibition to the development and acceptance of the ABM approach. In this paper, ...

We present two sketch-based modeling systems built using adaptive meshes and editing operators. The first one has the capability to control local and global changes to the model; the second one follows geological domain constraints. To build a system that provides the user with control of local modifications we developed a mathematical theory of vertex label and atlas structure for adaptive mes...

We present a system for constructing 3D models from simple hand-drawn sketches. The system exploits a priori knowledge about the type of object being sketched. In particular, we assume that the class of object being drawn is known, (e.g., a rocket ship) and that the object will be drawn using a fixed number of known components. By using these assumptions, we show that we can build a sketch-base...

Agent-based models (ABMs) are capable of constructing individual system components at different levels of representation to describe non-linear relationships between those components. Compared to a traditional mathematical modeling approach, agent-based models have an inherent spatial component with which they can easily describe local interactions and environmental heterogeneity. Furthermore, ...

This paper presents the utilization of the multi-agent platform Geamas through the Biomas application for the collective management of animal wastes. The complexity of the scenarios under study gives rise to many unpredictable behavioral schemas whose analyses necessitate a simulation approach. In the present article we describe the whole set of concepts in use in multi-agent systems modeling a...

Problems derived from the power quality aspects of a power grid are turning the monitoring and diagnosis tasks into an appealing field for electric power researchers. This interest is mainly founded on the great importance of providing highly reliable power grids, but also because of the relatively simple task (computationally speaking) required to accomplish the measurements. Despite its poten...

Multi-agent modeling is widely used in collaborative networks for the ability to represent complexity derived from interrelationship. Nevertheless we noticed in the literature a lack of guidelines in formal modeling. In this paper we analyze a reference model to develop multi – agent models able to be applied to a variety of fields. The presented method brings together operations research techn...

For a long time, the role of the environment has been underestimated in multiagent systems research. Originating from research on behavior-based agents and situated multiagent systems, the importance of the environment is now gradually being accepted in the multiagent system community in general. In this paper, we elaborate on the role of environments in multiagent systems. We present a model f...

Multi-agent systems raise many new and interesting research issues in AI-based educational collaborative systems. Some of those issues relate to the user model. When many agents inhabit a system, they must cooperate in their agent society, interacting with each other. They must interact with the world outside the computer (i.e. with the learners). They must have adequate knowledge of the users ...

In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of such agents and demonstrate (by experiment) their application to data mining on distributed data. Although, EMADS is not restricted to one data mining task, the study described here, for the sake of brevity, concentra...