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This paper presents a Mediate-based ABS framework for a multi-agent hybrid simulation in which agents are modeled based on a "sense-think-lookahead-act" paradigm. This design draws out some general functions as mediators from the lookahead process, and coordinates the interactions between agents and discrete event simulation engine. The mediators are organized as Sense mediator, Move mediator and Engagement mediator in accordance with the major types of actions in military simulation. With the MABSF, an lookahead behavior model can be built much more easily.

In the military field, multi-agent simulation (MAS) plays an important role in studying wars statistically. For a military simulation system, which involves large-scale entities and generates a very large number of interactions during the runtime, the issue of how to improve the running efficiency is of great concern for researchers. Current solutions mainly use hybrid simulation to gain fewer updates and synchronizations, where some important continuous models are maintained implicitly to keep the system dynamics, and partial resynchronization (PR) is chosen as the preferable state update mechanism. However, problems, such as resynchronization interval selection and cyclic dependency, remain unsolved in PR, which easily lead to low update efficiency and infinite looping of the state update process. To address these problems, this paper proposes a lookahead behavior model (LBM) to implement a PR-based hybrid simulation. In LBM, a minimal safe time window is used to predict the interactions between implicit models, upon which the resynchronization interval can be efficiently determined. Moreover, the LBM gives an estimated state value in the lookahead process so as to break the state-dependent cycle. The simulation results show that, compared with traditional mechanisms, LBM requires fewer updates and synchronizations.

The research and implementation of the auto-generation of federate has greatly increased the development of federations, and the concerns of HLA developers have mostly changed to the problem domains and the modeling fields. In order to further promote the automation development of federates and improve the reusability of HLA federations and federates, auto-reverse model transformation of the federates is discussed, and the approach which is based upon operation in the process of federate auto-generation is chosen for the consistency of federate codes and the FOM/SOM, where traceability is also considered.

In this paper, we investigate a real-time estimation system in HLA-based simulation systems. The use case and architecture of the system are analyzed. The main parts of the system, including the evaluation agent, the databases and the web-based result display systems are introduced. Towards the evaluation agent, the interface relationships are depicted. Then the structure and principle of evaluation databases are discussed. The web-based display control process and system running modes are also studied. Finally it concludes with summaries and further developments.