DoMa: Agent-Based Modelling Social Simulator with contextual supported on Endorsements

This website presents a Java flexible agent-based model using an object-oriented paradigm (a general-purpose computer language) to represent agents' social interaction (e.g, B2C e-commerce) with a realistic consideration of agents’ decision-making mechanisms, based on the endorsement scheme, and Word-Of-Mouth (WOM). The flexible model also allows Scenario analysis.

How DoMa Works?

We will exemplify the model assuming that it is used to represent the interaction between buyers and sellers in an online B2C marketplace. Marketplaces are the sellers, and individuals shopping at the website of the marketplaces are the buyers. Another example of a possible representation: hospitals or local markets like Carrefour vs. its users/clients.

See more...