There has been much discussion about why agent-based simulation is not as widely used as discrete-event simulation in Operational Research as it is in neighbouring disciplines suc...
Peer-Olaf Siebers, Charles M. Macal, Jeremy Garnet...
Abstract—This paper explores multi-operator supervisory control (MOSC) of multiple independent robots using two complementary approaches: a human factors experiment and an agent-...
Jonathan M. Whetten, Michael A. Goodrich, Yisong G...
Bushfire BLOCKS is a modular, distributed, agent-based simulation for exploring and informing bushfire response strategies. Separate independent modules capture the fire spread, e...
David Scerri, Ferdinand Gouw, Sarah L. Hickmott, I...
The need for new theoretical and experimental approaches to understand dynamic and heterogeneous behavior in complex economic and social systems is increasing recently. An approac...
Abstract. Agent-oriented modelling of software systems and agent-based simulation are commonly viewed as two separate fields with different concepts and techniques. We show that th...
Agent-based simulation is increasingly used to study systems in many areas of business and science. Using agentbased simulation for prediction could be very valuable. However, the...
Agent-oriented modeling of software and information systems and agent-based simulation are commonly viewed as two separate fields with different concepts and techniques. We argue t...
When developping multi-agent systems (MAS) or models in the context of agent-based simulation (ABS), the tuning of the model constitutes a crucial step of the design process. Indee...
To simulate adaptive agents with abilities matching those of their real-world counterparts, a natural approach is to incorporate adaptation mechanisms such as classical conditioni...
: Agent-based simulation can be viewed as methodical advancement and generalization of microscopic modelling styles in object-oriented and discrete event simulation well suited for...