Modeling organizational level of agents with moise+ to a natural resources management RPG

Abstract

Artificial intelligence and its applications have stood out over the last decade and presented effective solutions in the most diverse sectors and areas of knowledge. For example, in the environmental area, several challenges are faced, mainly in managing natural resources, due to numerous existing conflicts due to increased demand and scarcity of such resources. In this scenario, applications using multi-agent systems show promise. The main objective of this work is the presentation of modeling at the organizational level of agents to study the complexity and the functionalities of characters of a Role-Playing game. The case study of this work is the Gorim, an RPG Game developed in the scenario of the watershed of Lagoa Mirim and Canal Sao Gonc¸alo at ˜the Rio Grande do Sul, Brazil. The organization modeling was developed in the MOISE+ model and implemented to verify it in the JaCaMo platform through hypothetical scenarios. We demonstrated that the results of such scenarios validate the structural, functional, and deontic/normative levels of the Gorim RPG.