Agent-Based Models: Tools

doi:10.1007/978-981-13-9337-2_1

Agent-Based Models: Tools

Journal

Interacting Complexities of Herds and Social Organizations

Publisher

Springer Link

Date Issued

2020

Author(s)

Type

text::book::book part

DOI

10.1007/978-981-13-9337-2_1

URL

9789811393372

https://scripta.up.edu.mx/handle/20.500.12552/9795

Abstract

The methodological focus of this book is the object- and agent-based simulation. No state equations or system dynamics schemes are used. Recall that in the discrete object-based modeling, we create objects that behave according to the user-defined rules and execute their events in discrete moments of the model time. The agent-based models manage objects called agents, which are equipped with certain “intelligence.” They can take decisions, optimize their actions, and interact with each other and with the environment. Agent-based models (ABMs) are a type of microscale models that simulate the simultaneous operations and interactions of multiple agents in an attempt to recreate and predict the appearance of global complex phenomena.

How to cite

Raczynski, S. (2020). Agent-Based Models: Tools. En Interacting Complexities of Herds and Social Organizations (pp. 1–18). Springer Singapore.