scholarly journals Non-cooperative strategy for negative self-expression of a pessimistic communicant

2021 ◽  
Vol 1 (39) ◽  
pp. 143-148
Author(s):  
Valentina BOICHUK ◽  
Nataliia YEFREMOVA ◽  
Yulia SKROBAKA
Keyword(s):  
1988 ◽  
Vol 82 (1) ◽  
pp. 179-194 ◽  
Author(s):  
Russell J. Leng

Findings from a data-based study of bargaining in recurrent crises between evenly matched states provide the foundation for the construction of four crisis-learning games. Symmetrical and asymmetrical nuclear and nonnuclear sequential three-by-three games assuming complete information and nonmyopic play are presented and analyzed. The empirical study indicated that states that were unsuccessful in one crisis were likely to move to more coercive bargaining strategies in the next crisis. The four sequential games offer insights as to why this is likely to produce unwanted consequences, while demonstrating the importance of the participants' initial strategy choices. With the realpolitik lessons suggested by the earlier study removed, the dynamics of the games present a case for beginning with a cooperative strategy and moving to reciprocating, or tit-for-tat, bargaining.


2018 ◽  
Vol 90 (9) ◽  
pp. 1464-1473 ◽  
Author(s):  
Weinan Wu ◽  
Naigang Cui ◽  
Wenzhao Shan ◽  
Xiaogang Wang

Purpose The purpose of this paper is to develop a distributed task allocation method for cooperative mission planning of multiple heterogeneous unmanned aerial vehicles (UAVs) based on the consensus algorithm and the online cooperative strategy. Design/methodology/approach In this paper, the allocation process is conducted in a distributed framework. The cooperative task allocation problem is proposed with constraints and uncertainties in a real mission. The algorithm based on the consensus algorithm and the online cooperative strategy is proposed for this problem. The local chain communication mode is adopted to restrict the bandwidth of the communication link among the UAVs, and two simulation tests are given to test the optimality and rapidity of the proposed algorithm. Findings This method can handle both continuous and discrete uncertainties in the mission space, and the proposed algorithm can obtain a feasible solution in allowable time. Research limitations/implications This study is only applied to the case that the total number of the UAVs is less than 15. Practical implications This study is expected to be practical for a real mission with uncertain targets. Originality/value The proposed algorithm can go beyond previous works that only deal with continuous uncertainties, and the Bayesian theorem is adopted for estimation of the target.


Sign in / Sign up

Export Citation Format

Share Document