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PL
This paper presents an optimal scheduling solution for a case of agents sharing a resource. The amount of resource can not satisfy all agents at once and in case of runout there is a penalty. Each agent randomly toggle its state between requiring and not requiring the resource. Using the knowledge of previous state and probability of change, the scheduling algorithm is able to calculate optimal number of concuring agents for one turn, that minimizes possibility of collision yet provides as much throughput as possible. Several different scheduling strategies are tested. The optimal solution adapts automatically to the value of probability of change. Further experiments show that optimality is retained if only the average probability of a set of agents is known. A case of practical application is provided.
PL
The following paper discusses the topic of edge detection in X-ray hand images. It criticises the existing solution by highlighting a design fault, which is a carelessly chosen function and then proposes a way to eliminate the fault by replacing it with a better suited function. The search for this function and its results are also discussed in this paper. It also presents the aspect of pre- and postprocessing through filtering as another improvement in edge detection.
PL
Stężenie jonów wodorowych (pH) i benzodiazepiny (BDZ) są czynnikami modulującymi receptory GABAa. W szczególności, wartość pH środowiska zewnątrzkomórkowego może zmieniać się w zależności od stanu fizjologicznego lub patologicznego. W niniejszej pracy przedstawiono wyniki badań wpływu flurazepamu (benzodiazepiny) przy różnych wartościach zewnątrzkomórkowego pH (z zakresu 5.5 - 7.2) na amplitudę miniaturowych GABA-ergicznych inhibujących prądów synaptycznych (mIPSCs). Stwierdzono, że obecność flurazepamu prowadzi do zwiększenia amplitudy mIPSCs, ale efekt ten zależy od pH i je st największy przy silnie kwaśnych wartościach. Wpływ flurazepamu na amplidudę mIPSC osiąga nasycenie przy stężeniu ok. I цМ dla wszystkich badanych wartości pH. Wyniki te wskazują na to, że modulacja Prądów GABAergicznych przez benzodiazepiny jest zależna od odczynu środowiska.
PL
The approach of evolutionary games like prisoner’s dilemma, among others, is based on a consistent strategy. We propose an experimentally verified system where cooperation can arise out of two simple factors: mutation and inheritance. This system has a social dilemma property and allows each agent to set its own desired number of participants. There are two essential mechanisms: fluctuation through which mutation leads to cooperation, and natural selection which tends to promote cheaters and therefore disrupts the cooperation. It is shown in numerical simulations that the interplay between both mechanisms leads to an equilibrium and that no intentional strategies are necessary to establish and sustain cooperation. Thus, starting from a population of non-cooperating agents, natural evolution can end with a population composed of cooperating groups with the mean group size determined by the fluctuation rate and the pay-off function. A thorough analytical explanation of numerical results is provided.
PL
In the present paper, the case of a database of scientific articles is described. There can be observed the quantitative effects of the increasing strength of cooperation between scholars. It is manifested in time-related features changes of the numbers distribution of a single co-authors’ article. The distribution of the number of co-authors of an article recorded in the database evolves with time from a profile with no more than one author to a profile with several authors. A social dilemma model is proposed to explain the dynamics of changes in the distribution of the number of co-authors. The most successful strategy of the three considered alternative strategies of cooperation is selected.
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