Multi-scale modeling of complex biological systems remains a central challenge in the systems biology community. A method of dynamic knowledge representation known as agent-based modeling enables the study of higher level behavior emerging from discrete events performed by individual components. With the advancement of computer technology, agent-based modeling has emerged as an innovative techn...

Financial literacy is a critical determinant of household well-being. We use an agent-based modelling approach to analyse the impacts of financial literacy programs delivered from sources of varying degrees of credibility through a social network in emerging economies. The simulation results indicate that the social networks of emerging markets rely heavily on source credibility to grow and sus...

Agent-oriented modeling is a top-down approach for modeling and simulating the behaviors of complex systems. This research addresses the application of agent-oriented modeling to eliciting and representing knowledge for social simulations. We provide an overview of agent-oriented modeling and describe a case study on conflict resolution that has an impact on winning “hearts and minds” of the oc...

In recent studies on artificial intelligence, logic program occupies a significant position because of its attractive features. Neural networks are dynamic systems in the learning and training phase of their operation and convergence is an essential feature, so it is necessary for the researchers developing the models and their learning algorithms to find a provable criterion for convergence in...

We will demonstrate the integration of a software-based multi-agent modeling platform with a participatory simulation environment and a real-time control system for a physical robotic agent. Both real and virtual participants will be able to act collaboratively in a simulation that will control a physical agent. The backbone of this demonstration is a widely used, freely available, mature model...

This workshop will be a hands-on introduction to using NetLogo and its recently released networks extension as a tool to explore the social network data we create every day. Using data from Facebook, we will design, construct, and explore network models to make sense of the sometimes counter-intuitive methods of Social Network Analysis (SNA). The goal of this workshop is two fold: (1) to provid...

The effectiveness of official warning dissemination and interpretation determines the adoption protective actions in response to hurricane threat. This paper describes development a conceptual diffusion model that articulates whole process individual decision-making, drawing on emergency management social science bodies literature. is then partially encoded into NetLogo agent-based simulation d...

This paper aims to analyse maritime traffic safety assessment via a flow simulation model. The model developed NetLogo platform, agent-based modelling and approach. And it is implemented on an open sea area, at the Aegean Sea show its applicability. verified through experiments conducted in area. outputs give risky locations scores. Risky risk scores area are determined as of runs. A separation...