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In this paper, we study the problem of finding teams of experts from an expert network while optimizing three objectives. Given a project, the objective is to find teams of experts that cover all the required skills and also optimize the communication cost as well as the personnel cost and the expertise level of the team members. The expert network is modeled as a graph, where nodes represent experts...
The development of transportation networks is a major challenge for companies providing transportation. In fact they have to provide a high quality of service raised in term of comfort, regularity and punctuality with increasingly demanding users primarily in cases of emergency. CISIT (The International Campus on Safety and Intermodality in Transportation) has the objective to realize an optimal management...
This paper compares population-based and agent-based simulation of the dynamics of group Situation Awareness. The question how Situation Awareness spreads among a team of agents is important for numerous applications. In this paper, a population-based and an agent-based model of this process are proposed, and applied to a case study in aviation. A number of relevant simulations of the models are performed,...
In heterogeneous and open multi-agent systems the selection of future partners have been an issue that reputation systems are trying to solve. However, nowadays reputation systems propose the selection of such partners based solely on the reputation the partners have as service providers. In this paper we argue that an agent that intends to participate in future interactions may concern not only about...
We set up an agent-based simulation to test Carlo M. Cipolla's theory of human stupidity. In particular, we investigate under which hypotheses his theory is compatible with a well-corroborated theory like natural evolution, which we build into the model. We discover that there exist parameter settings which determine the emergence of stylized facts in line with Cipolla's theory. The assumptions corresponding...
Traditional works of public goods game focus on the situation that agents play the games in simplex networks in which social interactions are of the same type. However, due to multiple types of interactions in reality, agents always have to allocate the limited resources according to different interactions, such as the agents allocate the limited time to work with colleagues or accompany family members...
The task of tracing what underlies the transition from kinship tribes to nation states continues to remain an important challenge for interdisciplinary study. Multi-agent simulation can shed light on these evolutionary processes by examining the emergent social behaviour that arises from individual agent interactions. In this paper, we build a model based on existing observational and simulation studies...
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