FYPA (Find Your Path, Agent!) is a multiagent system currently used by Ansaldo STS for off-line daily computation of paths of trains inside stations. Its exploitation for on-line replanning in case of unavailability of resources is envisaged in the very near future, since the system’s performances demonstrated to be suitable for real time usage. In this paper we present StandaFYPA, the stand-al...

The paper deals with the educational strategy applied when designing a Logo Core as a part of a course on Logo for teachers, developed in the frames of the European NETLogo Initiative. The idea behind the Logo Core is to enable teachers to lift the hood of the Logo applications to see how they work and hopefully become themselves developers with Logo. Integrating some well known educational pri...

Agent‐Based Modeling (ABM) is an effective strategy for simulating the emergent properties of complex systems. This form of simulation models the behaviors of individual agents interacting with each other and with their world. ABM is well suited for problems such as modeling behaviors during emergencies, or critical incidents. These situations can range from getting people out of a burning buil...

This paper provides insights about the behavior of chaotic complex systems, and the sensitive dependence of the system on the initial starting conditions. How much does a small change in the initial conditions of a complex system affect it in the long term? Do complex systems exhibit what is called the "Butterfly Effect"? This paper uses an agent-based modeling approach to address these questio...

Abstract: Evolutionary game models normally have a finite set of strategies. Recently, evolutionary games with continuous spaces of strategies have been introduced by Dan Friedman and Joel Yellin, under the name landscape dynamics. In one example extensively studied by them, conspicuous consumption, a simple (gradient) dynamical system is introduced on the strategy space. In this article, we tr...

Want to get experience? Want to get any ideas to create new things in your life? Read an introduction to agent based modeling modeling natural social and engineered complex systems with netlogo now! By reading this book as soon as possible, you can renew the situation to get the inspirations. Yeah, this way will lead you to always think more and more. In this case, this book will be always righ...

We use computational experiment method integrated multi-agent, advanced GA (Genetic Algorithm), and complex network to study the interactive evolution of e-commerce vendors and consumers. Key algorithms such as generating algorithm for consumer network, and advanced GA based on CA (Cellular Automata) for service vendor decisions, etc, are designed for the evolution behaviors of both e-commerce ...

The paper builds on design-research studies in the domain of probability and statistics conducted in middle-school classrooms. The design, ProbLab (Probability Laboratory), which is part of Wilensky’s ‘Connected Probability’ project, integrates: constructionist projects in traditional media; individual work in the NetLogo modeling-and-simulation environment; and networked participatory simulati...

To address the problems of topology control and channel assignment on a multi-radio mesh networks a distributed, lightweight, co-operative multiagent system that guarantees scalability has been developed and validated by simulation. Our overall goal is twofold, to select channels so to reduce interference and improve connectivity by shortening paths between portal and clients nodes. As this sys...

We describe the lessons learned from using various technologies as aids in teaching a graduate multiagent systems class. The class has been offered six times over the last five years. The technologies described are RoboCup (along with our Biter and SoccerBeans tools), NetLogo, JADE, and FIPA-OS. We also discuss our view of the future of multiagent systems which includes the separation of softwa...