Agent-based simulation (ABS) is a new paradigm that has been applied to simulation problems in biology, engineering, economics and sociology. In ABS, a scenario of systems that interact with each other and with their environment is being modeled, and simulated, as a multiagent system. The participating agents – animals, humans, social institutions, software systems or machines – can perform actions, perceive their environment and react to changes in it. Agents also may have a mental state comprising components such as knowledge/beliefs, memories, commitments and goals.

Compared to traditional simulation methods – like mathematical equations, discrete event-simulation, cellular automata and game theory – ABS is less abstract and closer-to-reality, since it explicitly attempts to model the specific behavior of individual actors, in contrast to macro simulation techniques that are typically based on mathematical models averaging the behavior effects of individuals or of entire populations.

AOR Simulation provides an agent-based discrete event simulation framework with a high-level rule-based simulation language and an abstract simulator architecture and execution model.

We provide AOR simulators in the form of a standalone Java simulation management system AOR-JavaSim and in the form of a Web simulator that can be used without having to download and install any software.