| The technique of the CGF modeling is being a new field of modeling and simulationwith the development of Advanced Distributed Simulation and Artificial Intelligence. Itcan make computer behave like real combatant and military equipment, so computer canreplace them, and the outlay and difficulty of training are greatly reduced. The CGF modelconsists of environment model, physics model and behavioral model. A virtual realisticbattlefield is provided for the CGF agent by environment model. A realistic appearance isbuilt by physics model. But behavioral model refer to represent the mental thinkingactivity, is the core and nodus in constructing the CGF system. There are many uncertainty factors that are difficult to be formalized, when we modelthe CGF's behavior, which is different from the physics model. Modeling the CGF'sbehavior is very difficult, because it involves in the reasoning, decision-making andlearning of behavior. At present, the behavioral model of the CGF is simple and reactive,lack of advanced intelligent. It is usually developed with Expert System. At the same time,the CGF's behavior is not under the control of itself. The system is coupled tightly. Based on the analysis above, the paper investigates thoroughly technique andapplication of behavior modeling by the BDI agent from the level of entity, integratingwith an application. It can be divided into three levels. Firstly, the behavior of CGF agentis divided into mental behavior and outer behavior, and the outer behavior is based on themental behavior. Secondly, the mental behavior of the CGF agent is denoted by rationalbehavioral model and behavioral difference model. The mental behavior is determined byrational behavior model, and influenced by behavioral difference model. Thirdly, therational behavior of the CGF agent consists of perceiving, decision-making and learning. The main efforts are outlined as follows: 1. The theory foundations of CGF and behavior modeling are summarized. 2. The output mechanism and expression of CGF's behavior are described as a whole.The output process of the CGF's mental behavior is explained through the Belief, Desire,Intension and their relation. The inherent mechanism of the outer behavior is formalized.An behavioral framework to express the outer behavior is put forward. A set of behavioralcalculation are defined base on the framework, in order to decompose Intension into aseries of meta-behaviors. V3. The descriptive and prescriptive models of the perceiving behavior of the CGF arebuilt. The prescriptive model, which is based on the descriptive model, is ensured to beapplied into the autonomous simulated environment. 4. The decision of CGF is modeled. And the characteristics of risk and time ofdecision are analyzed. The impacts of introduction of the perceiving behavior on thecomplexity of decision behavior are analyzed. Subsequently, an uncertainty decisionmethod is given, which is used to deal with the impact of incomplete perceivinginformation on decision. 5. The learning behavior is added into the behavior model of the CGF, and theframework of learning of the CGF is brought forward. The alternative model of offlinelearning and online learning are built and formalized. And the alternative arithmetic isgiven. Several important behavioral factors, which influenced on the rational behavior of theCGF, are investigated from the point of view of the entity according the research ofbehavioral science and psychology. The issue of the application of the factors is discussedin the military simulation. Subsequently the behavioral difference model is given based onthe result of qualitative analysis above. 7. The behavioral modeling of simulation member in the constructed simulation isresearched. The realization of behavior modeling of the CGF is described. We conclude that modeling the behavior of the CGF is the core and nodus in theresea...
|
PDF Full Text Request