In this paper, we proposed and illustrated a distributed low-complex algorithm for precoding strategy selection in a multi-user Multiple-input Multiple-output (MU-MIMO) wireless system using noncooperative games. We formulate the game as a non-cooperative game for an asynchronous distributed system in multi-user MIMO system known as Partially asynchronous distributed algorithm (PADA) and the co...

In the case of on-line action role-playing game, the combat strategies can be divided into three distinct classes, Strategy of Motion(SM), Strategy of Attacking Occasion (SAO) and Strategy of Using Skill (SUS). In this paper, we analyze such strategies of a basic game model in which the combat is modeled by the discrete competitive Markov decision process. By introducing the chase model and the...

Automated Deduction offers no unique strategy which is uniformly successful on all problems. Hence a parallel combination of several different strategies increases the chances of success. The efficiency of this approach can be increased even more by the exchange of suitable intermediate results. The paper offers a cooperative solution approach to this task. As a special kind of cooperation we p...

This paper illustrates how a self-organizing cognitive architecture, known as TD-FALCON, can learn to function and cooperate in a dynamic environment. TD-FALCON learns the value functions of the stateaction space estimated through a temporal difference (TD) method. The learned value functions are then used to determine the optimal actions based on an action selection policy. To tackle a multi-a...

In this paper, we investigate the performance of introducing competition in cooperative coevolutionary algorithms to solve large-scale fully-separable continuous optimization problems. It may seem that solving large-scale fully-separable functions is trivial by means of problem decomposition. In principle, due to lack of variable interaction in fullyseparable problems, any decomposition is viab...

In this paper we first define a mathematical model of the “plant” for the cooperative control problem for multiple uninhabited autonomous vehicles (UAVs). This includes a representation for the vehicles, environment, and communication network. Next, s e define an approach to cooperative control that uses local UAV task planning and multi-UAV coordination via task load balancing over the communi...

Cooperative search is a parallelization strategy for search algorithms where parallelism is obtained by concurrently executing several search programs. The solution space is implicitly decomposed according to the search strategy of each program. The programs cooperate by exchanging information on previously explored regions of the solution space. In this paper we propose a new design for cooper...

In this letter, we address a strategy to enhance the signalto-interference plus noise ratio (SINR) of the worst-case user by using cooperative transmission from a set of geographically separated antennas. Unlike previously reported schemes which are based on either the power control of individual antennas or cooperative orthogonal transmission, the presented strategy utilizes the minimum-mean-s...