Decide Quest leverages the power of artificial intelligence and crowd intelligence to assist individuals and organizations in making informed, data-driven decisions. By combining state-of-the-art algorithms and the collective knowledge of a diverse group of participants, Decide Quest provides insightful recommendations and valuable perspectives, ensuring that you make the best possible choices.

JaCaMo provides a unified environment for designing and running multi-agent systems (MAS) by integrating three core components: the Jason agent programming language for BDI-based agents, CArtAgO for artifact-based environmental modeling, and Moise for specifying organizational structures and roles. Developers can write agent plans, define artifacts with operations, and organize groups of agents under normative frameworks. The platform includes tooling for simulation, debugging, and visualization of MAS interactions. With support for distributed execution, artifact repositories, and flexible messaging, JaCaMo enables rapid prototyping and research in areas like swarm intelligence, collaborative robotics, and distributed decision-making. Its modular design ensures scalability and extensibility across academic and industrial projects.