Radio capacity simulation tools are gaining a large importance with the development of mobile networks. System radio simulators that are currently used in standardization bodies are becoming increasingly complex as they have to work on two time scales: the scale of ”milliseconds” for modeling the behavior of schedulers and the scale of ”tens of seconds” for modeling the dynamic behavior of arri...

The analysis of human behavior patterns is increasingly used for several research fields. The individualized modeling of behavior using classical techniques requires too much time and resources to be effective. A possible solution would be the use of pattern recognition techniques to automatically infer models to allow experts to understand individual behavior. However, traditional pattern reco...

During conversation, people often make assumptions or suppositions that are not explicitly stated. Failure to identify these suppositions may lead to mis-communication. In this paper, we describe a procedure that postulates such suppositions in the context of the discourse interpretation mechanism of BIAS – a Bayesian Interactive Argumentation System. When a belief mentioned in a user’s discour...

Data-driven neuroscience aims to find statistical relationships between brain activity and task behavior from large-scale datasets. To facilitate high-throughput data processing and modeling, we created BrainLiner as a web platform for sharing time-aligned, brain-behavior data. Using an HDF5-based data format, BrainLiner treats brain activity and data related to behavior with the same salience,...

Pedestrian crowd simulation explores crowd behaviors in virtual environments. It is extensively studied in many areas, such as safety and civil engineering, transportation, social science, entertainment industry and so on. As a common phenomenon in pedestrian crowds, grouping can play important roles in crowd behaviors. To achieve more realistic simulations, it is important to support group mod...

the increase in the number of adsl users over recent years has encouraged different companies to enter to this context. for this reason, the current article aims to study internet adsl users’ characteristics that affect their usage rate as one of the factors of organization’s achievement. therefore, the data were collected using simple random method and questionnaire, the validity and reliabili...

This paper describes the structure and implementation of the Intermodal Airport Ground Access Planning Tool (IAPT) that has been developed to provide an integrated analytical system to support airport ground access planning. The tool models the interaction between three components of the system: air passenger mode choice behavior, transportation provider competitive behavior (modeled as a gener...

In the context of Game Design, to define behaviors and choreographies of actors in a game or simulation context can be a challenging and complex programing task. This paper proposes an interaction model for a Petri Net behavior editor to be used as a visual language for game behavior modeling. A proof of concept prototype implementation of the proposed interaction model was created and validate...

Human activities increasingly take place in online environments, providing novel opportunities for relating individual behaviors to population-level outcomes. In this paper, we introduce a simple generative model for the collective behavior of millions of social networking site users who are deciding between different software applications. Our model incorporates two distinct mechanisms: one is...

We present an empirical analysis of human behavior dynamics in online social media from a time sequential perspective. By analyzing the users’ inter-event time distribution between two consecutive actions and fitting with accurate numerical method, we find that the users’ behavior pattern follows the heavy tailed or power-law distribution both in collective and individual scale, not the traditi...