Abstract This paper explores a hybrid approach to coalition formation in Multi-Agent Systems (MAS) by integrating emotional modelling in to rational decision-making processes. In traditional MAS, autonomous agents form coalitions to achieve individual or collective goals, usually by... This paper explores a hybrid approach to coalition formation in Multi-Agent Systems (MAS) by integrating emotional modelling in to rational decision-making processes. In traditional MAS, autonomous agents form coalitions to achieve individual or collective goals, usually by optimizing for payoffs. However, such processes can be computationally expensive due to the exponential number of potential coalition combinations. Recognizing that human coalition formation involves emotional elements like trust, gratitude, and anger, the authors propose an emotion- based model to guide agents in coalition decisions. The model uses the OCC (Ortony, Clore, and Collins) framework to quantify emotional dispositions—specifically anger and gratitude—between agents, which influences their trust in one another. These emotional indicators reduce the state space that each agent must search when forming coalitions, thereby decreasing computational overhead. The hybrid model begins with rational processes when agents are emotionally neutral, but switches to emotional reasoning once emotional thresholds are met. Emotional states are updated based on coalition success or failure, dynamically influencing future coalition decisions. The paper demonstrates through examples how this model can streamline coalition formation by eliminating unlikely or unfavorable partnerships early. While the method does not guarantee optimal coalition structures, it prioritizes efficiency in complex or timesensitive scenarios. Future work includes implementing the model in simulations to test performance, exploring other emotional factors, and varying emotional sensitivity to simulate different agent personalities. This approach aims to bring coalition formation in MAS closer to human-like behavior while enhancing computational efficiency. Read More Read Less

Abstract This paper presents a pilot study that explores the unique model, a student-centered participatory design framework used to develop e-learning systems. The methodology emphasizes involving undergraduate students, particularly those in computer science, in the design process to... This paper presents a pilot study that explores the unique model, a student-centered participatory design framework used to develop e-learning systems. The methodology emphasizes involving undergraduate students, particularly those in computer science, in the design process to capture real user needs and enhance the relevance of educational technologies. Read More Read Less