The paper presents a multi-agent system that comprises a society of self-interested agents that use argumentation-based negotiation to reach agreements regarding cooperation and go...
Recent events have highlighted the importance of good models of crowds, however many existing crowd models are either computationally inefficient, or are missing a crucial human be...
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
In this paper we introduce a model for direct communication in situated multi-agent systems. Direct communication is typically associated with cognitive agents, where the informat...
For successful coordination and cooperation in a multiagent system, participants need to establish a sufficiently accurate awareness of the current situation. Awareness is underst...