The first thing you do when creating agent-based model is create agents. Agent is the basic building block of the agent-based model. Agent-based model consists of multiple agents and their environment. Every agent is given a set of rules according to which it interacts with other agents; this interaction then generates the overall system behavior.

•Anylogic is written in Java and turns models into Java •AnyLogic offers lots of ways to insert snippets ("hooks") of Java code •You will need these if you want to e.g. -Push AnyLogic outside the envelop of its typical support •e.g. Enabling a network with diverse Agent types -Exchange messages between Agents AnyLogic uses Apache POI library for working with Excel spreadsheets. But it is disabled by default as unnecessary. You should drop Excel File element from Connectivity palette to be able to use Apache POI methods. Another similar improvement related to agents and statecharts is the new type of transition trigger: Arrival. The with this trigger type is activated when the agent arrives to the destination point after moveTo() has been called. Since version 6.5 agents now move along a given 2D or 3D polyline. Mathematical and Simulation Models in the AnyLogic program Arpad Takaci 1, Dusan Mijatovic 1, 1 Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad takaci@dmi.uns.ac.rs 1. Lorenz's weather model Lorenz's mathematical model of the weather, made in 1963, describes the motion of ery. This brief tutorial introduces agent-based modeling and simulation by describing the basic ideas of ABS, discussing some applications, and addressing methods for developing agent-based models. 1 INTRODUCTION Agent-based simulation (ABS) is a simulation approach made possible by recent advances in computa-tional modeling and software. AnyLogic tutorials guide you through AnyLogic simulation modeling. These videos show how to create simulation models, conduct experiments, and upload your simula