|
|
|
|
|
Okan Asik, Fatma Basak Aydemir and Hüseyin Levent Akin
The number of agents exponentially increases the complexity of a cooperative multi-agent planning problem. Decoupled planning is one of the viable approaches to reduce this complexity. By integrating decoupled planning with Monte Carlo Tree Search, we pr...
ver más
|
|
|
|
|
|
|
|
|
Shuangxi Liu, Fengping Huang, Binbin Yan, Tong Zhang, Ruifan Liu and Wei Liu
In an effort to maximize the combat effectiveness of multimissile groups, this paper proposes an adaptive simulated annealing?particle swarm optimization (SA-PSO) algorithm to enhance the design parameters of multimissile formations based on the concept ...
ver más
|
|
|
|
|
|
|
|
|
Enrico Barbierato and Maria Enrica Zamponi
Evaluating AI is a challenging task, as it requires an operative definition of intelligence and the metrics to quantify it, including amongst other factors economic drivers, depending on specific domains. From the viewpoint of AI basic research, the abil...
ver más
|
|
|
|
|
|
|
|
|
Sulemana Nantogma, Keyu Pan, Weilong Song, Renwei Luo and Yang Xu
Unmanned autonomous vehicles for various civilian and military applications have become a particularly interesting research area. Despite their many potential applications, a related technological challenge is realizing realistic coordinated autonomous c...
ver más
|
|
|
|
|
|
|
|
|
Andreas Rauh and Julia Kersten
Continuous-time linear systems with uncertain parameters are widely used for modeling real-life processes. The uncertain parameters, contained in the system and input matrices, can be constant or time-varying. In the latter case, they may represent state...
ver más
|
|
|
|