ABM Wikia



Welcome to the ABM Wikia
This wikia is intended as a way to map the network of international academic creators of Agent-Based Models (ABMs). It lists authors, their publications, academic affiliations, research institutes with which they are affiliated.

Agent-Based Models
An agent-based model (ABM) is one of a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo Methods are used to introduce randomness. Particularly within ecology, ABMs are also called individual-based models (IBMs),and individuals within IBMs may be simpler than fully autonomous agents within ABMs. A review of recent literature on individual-based models, agent-based models, and multi-agent systems shows that ABMs are used on non-computing related scientific domains including biology, ecology and social science. Agent-based modelling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behaviour of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems.

Get Started
Start navigating by searching through a list of topics, research institutes or authors. Many authors work together in an academic network and typically produce models on a range of different topics, explore these affiliations and get to know their academic ABM work.

