Study of Robotic Fish Confrontational Strategy Based on Enemy Intention Prediction Algorithm
Shuqi Li · Jisuanji fangzhen · 2014
The enemy robotic fish individual intentions in robotic fish confrontational system are studied.Through the individual intention prediction,the reasonable planning own behavior can be obtained.It can intercept the enemy next behavior in advance,and improve own confrontation power.The BDI model is used as the theoretical basis.Through the enemy robot information processing and the field division,its next possible performs are predicted.And then,by setting the function to evaluate various behavior,a most likely behavior as an enemy robotic fish individual intention is concluded,so as to the own intercept strategy is designed.Finally,the effectiveness of the proposed strategy is tested with the Multiple Robotic Fish Simulation System to the verification platform.Experiments show that this strategy can effectively analyze the enemy's thoughts and intentions,inhibiting enemy's level of normal play.