A real-world labor market has complex worksite interactions between a worker and an employer. This paper investigates the behavior patterns of workers and employers with a job capacity and a job concentration empirically considering a strategic coalition in an agent-based computational labor market. Here, the strategic coalition can be formed autonomously among workers and/or among employers. F...

In healthcare environments we can find several microorganisms causing nosocomial infection, and of which one of the most common and most dangerous is Methicillin-resistant Staphylococcus Aureus. Its presence can lead to serious complications to the patient.Our work uses Agent Based Modeling and Simulation techniques to build the model and the simulation of Methicillin-resistant Staphylococcus A...

In the area of agent-based computing there are many proposals for specific system architectures, and a number of proposals for general approaches to building agents. As yet, however, there are comparatively few attempts to relate these together, and even fewer attempts to provide methodologies which relate designs to architectures and then to executable agents. This paper provides a first attem...

A previous study compared two student groups that played a mathematics game based on a teachable agent. One group played with, and the other without, the inclusion of a social conversation module: a chat between the student and the teachable agent. Results were that students who used the game with the chat included had a more positive experience of the game and learned more in the sense of teac...

An agent-based negotiation team is a group of two or more agents with their own and possibly conflicting preferences who join together as a single negotiating party because they share a common goal which is related to the negotiation. Scenarios involving negotiation teams require coordination among party members in order to reach a good agreement for all of the party members. An intra-team stra...

In this research, we focus on active sensing solutions to address challenging properties in complex environments, such as uncertainty, partial observability, non-stationarity, and limited resources. We describe our ongoing contributions, focusing on sensing for both individual agents and cooperating teams. We also outline how we are applying our research to two real-world applications: personal...

This paper discusses the technical challenges, business implications and research issues of agent-based auctions.