This paper presents my vision for collective behavior modeling: simultaneously modeling the behavior of all people within a group while taking into account the structure of their social ties. I believe that collective behavior modeling will provide new insights into the relationship between local individual behavior and global social structure while also improving the accuracy of predictions ab...

We consider a conceptual and quantitative modeling approach for investigating dynamic behavior change. While the approach is applicable to behavior change in eating disorders, smoking, substance abuse and other behavioral disorders, here we present our novel dynamical systems modeling approach to understand the processes governing an individual’s behavior in the context of problem drinking. Rec...

In multiagent systems the action that an agent chooses depends on the state of other agents. It is therefore important to have an accurate representation of the current world state. In case the world is only partially observable, an agent does not continually perceive the state of the other agents. It is then essential to model the actions of the other agents to predict their future state. In t...

Models of mobile web user behavior have broad applicability in fields such as mobile network optimization, mobile web content recommendation, collective behavior analysis, and human dynamics. This paper proposes and evaluates URI model, a novel approach to analyze user mobile Web usage behavior, which combines user interest modeling with location analysis. The URI model takes as input mobile us...

Modeling of human and animal behavior is of interest for a number of diagnostic purposes. Convolutional neural networks offer a constructive approach allowing learning on a limited number of examples. Chaotic tendencies make that learning is not always successful. The paper looks into a number of applications to find the reason for this anomaly and identifies the need for behavioral references ...

Drivers continuously evaluate the surrounding traffic and the roadway environment, and make decisions about lanes and travel speed. The objective of this thesis is to develop a lane changing model that can be used in microscopic traffic simulation models to capture drivers' lane changing behavior. Lane change is modeled as a sequence of four steps: decision to consider a lane change, choice of ...

Role semantics is an essential issue within the field of behavioral specifications. This includes the abstract specification of the conditions under which entities play and discard roles. This paper advocates that this topic is not well covered either by current Object-Oriented Programming Languages or Object-Oriented Analysis and Design Methods. Their main drawback consists on modeling an enti...

This paper presents a novel extension to the process tree model to support cancelation behavior, and proposes a novel process discovery technique to discover sound, fitting models with cancelation features. The proposed discovery technique relies on a generic error oracle function, and allows us to discover complex combinations of multiple, possibly nested cancelation regions based on observed ...