The document presents an agent-based framework for modeling social activities and travel. It discusses how agent-based modeling can capture the complex, nonlinear interactions between agents as they move around their social and physical environment. The model aims to simulate how agents maintain relationships, share experiences, learn about their environment, and negotiate activities like deciding where and when to meet for coffee. It incorporates services for agents to initiate discussions, evaluate activity proposals, and update their own attributes. The proposed interaction model combines negotiation theory and scheduling to simulate how agents decide on joint activities through behavioral choice and social interaction.