Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Urban planning and decision-making processes can be improved by implementations of computer-based simulations, one of them is by simulating real-world objects as agents in computer systems, widely known as the Multi-Agent Systems (MAS). MAS is a collection of various methods and approaches. Currently, there is no general overview of how this technique is being implemented in the field of urban planning. This study reviews and evaluates the literature about the implementation of MAS to help urban planners and decision-makers to decide which method is the most suitable to solve the decision-making problem at hand.
How to cite this article:
Cahyono Susetyo. Multi-Agent Systems for Urban Planning and Decision-Making:
A Review of the State-of-the-art Methods.
DOI: https://doi.org/10.36478/jeasci.2019.1549.1554
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.1549.1554