Military System Performance Evaluation Based on Markov Logic
Ruotong Liao · Modern Defence Technology · 2012
Since there are different systematic structural formations and changeable network structures in a military system,the performance of military units are unstable and the information delay is uncertain,to fulfill the special military mission,the system will include so many observe,orient,dacide and act(OODA) processes that it is difficult to assess the effectiveness of the military system.In view of the present evaluation methods with more qualitative component,or the ignoring of the relevant contact between military entities of the evaluation process just in statistical sense,the uncertainty of military system is incorporated into the evaluation system.Based on statistical relational learning framework Markov logic different military rules in first-order logic are modeled by taking OODA as the basic military strategy,and with the current network state as prior conditions,Alchemy tools are applied for atomic predicates conditional probability reasoning which mean the finally operational effectiveness to get the network operational effectiveness expectations.It is prominent that this model has the ability to deal with uncertain information.Finally,the impacts of military units and military structure upon the performance of the system are studied,and the experimental results show the validity of the model,indicating that it has some practical and theoretical significance.