UNLABELLED Numerous authors report that people with aphasia have greater difficulty allocating attention than people without neurological disorders. Studying how attention deficits contribute to language deficits is important. However, existing methods for indexing attention allocation in people with aphasia pose serious methodological challenges. Eye-tracking methods have great potential to ad...

To cope with the combat task allocation problems of aerial swarm, firstly, the assumption of battlefield environment was made. And the two multi-attribute principal parts of battlefield, swarm aerocraft (SA) and attacked target (AT) were analysed respectively. Secondly, based on comprehensive consideration of stealth and anti-stealth, attack and counter attack, multi-vehicle cooperation, etc., ...

Adaptive collective systems are common in biology and beyond. Typically, such systems require a task allocation algorithm: a mechanism or rule-set by which individuals select particular roles. Here we study the performance of such task allocation mechanisms measured in terms of the time for individuals to allocate to tasks. We ask: (1) Is task allocation fundamentally difficult, and thus costly...

The division of labor (DOL) and task allocation among groups of ants living in a colony is thought to be highly efficient, and key to the robust survival of a colony. A great deal of experimental and theoretical work has been done toward gaining a clear understanding of the evolution of, and underlying mechanisms of these phenomena. Much of this research has utilized mathematical modeling. Here...

Transmission task static allocation (TTSA) is one of the most important issues in automatic management radio and television stations. Different transmission tasks are allocated to suitable equipment achieve overall optimal effect. This study proposes a TTSA mathematical model for solving multiple intelligent algorithms, with goal achieving highest comprehensive evaluation value, conducts compar...

In order to improve the efficiency of logistics task allocation, rationality and algorithm cloud scheduling model based on genetic are proposed in this paper. Firstly, basic principle is introduced, cooperative distribution constructed, judgment mathematical transfer point demand constructed. Genetic used solve path planning model, simplified. The complex multiobjective optimization problem tra...

In the dynamic task allocation of unmanned underwater vehicles (UUVs), schemes UUVs need to be quickly reallocated respond emergencies. The most common heuristic method uses predesigned optimization rules iteratively obtain a solution, which is time-consuming. To assign tasks heterogeneous UUVs, we propose novel algorithm based on multi-agent reinforcement learning (MARL) and period training (P...

Current complex engineering software systems are often made up of many software components to perform complex tasks, which can be modeled as multi-agent systems. Task allocation in complex multi-agent engineering software systems can be described through software agents’ cooperation to satisfy the resource requirement of tasks. Although many task allocation approaches have been presented to dea...