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EN
The purpose of this paper is to build a model for assessing the satisfaction of passenger service by the public transport system. The system is constructed using intelligent agents, whose action is based on self-learning principles. The agents are passengers who depend on transport and can choose between two modes: a car or a bus wherein their choice of transport mode for the next day is based on their level of satisfaction and their neighbors’ satisfaction with the mode they used the day before. The paper considers several algorithms of agent behavior, one of which is based on reinforcement learning. Overall, the algorithms take into account the history of the agents’ previous trips and the quality of transport services. The outcomes could be applied in assessing the quality of the transport system from the point of view of passengers.
EN
The increased availability of information as a whole became an important problem and threat for its security, especially security of sensitive and confidential information and that is why the necessity to assure the security of such data became undeniable. The developers of applications an information systems put more and more stress on the aspect of their security and safety. Development of information systems has to answer more and more to problems connected to federated data sources and problems of heterogeneous distributed information systems. It is necessary to propose the architecture for secure cooperation of such systems. The paper presents the practical application of concepts of multi-agent systems in domain of logical security of data in distributed information systems. The purpose of presented solution is to support the process management of IT project realization based on the software creation methodologies.
EN
Methods of developing and functioning of intelligent decision support systems based on precedents applying adaptive ontology that are part of intelligent agents are analyzed. Method of distance defi nition between precedens and current situation based on adaptive ontology is developed. Using mathematical tools of the dynamic programming for modelling of intelligent system functioning is considered. Simplifying the task model is proposed to weigh signs of ontology concepts. Examples of such problems for six processes concerning metal structures protection and maximizing their lifetime are presented.
EN
In this paper we are concerned with evolutionary synthesis of recurrent networks capable of learning in the environment. First, we define the model of network we aim to evolve, which is weightless recurrent network of basic arithmetic nodes. Next, we propose a developmental genetic representation for the network, along with some genetic operators for it. The representation bears some important characteristics such as closure and completeness. Most notably, however, it features modularity and scalability, which we demonstrate on a parity problem. Finally, we evolve the network capable of successful learning in some narrow problem domain. The result shows, that for a given problem domain, evolutionary approach may produce networks performing better than generic neural networks.
EN
The paper describes some kind of intelligent agents able to observe behaviour of both nodes and communication links in a computer network. Because network is dynamic, the behaviour of both nodes and variables changes frequently. The goal is to recognize changes which are important in the context of network behavioral anomalies that correspond to network faults. The processed measurement information is combined into high level measures which are intelligent agent's outputs. Based on the measures typical faults can be recognized and singnalized to fault management centre. The paper shows how to learn agents by the Bayesian rule and how to organize diagnosis on the system level.
6
Content available remote Inteligentni agenci realizujący próbne transakcje
PL
W tradycyjnych systemach obsługi rozproszonych, zreplikowanych baz danych stosuje się opóźnioną wymianę wiadomości ze sprawdzaniem znaczników czasowych. Może to prowadzić do utraty niektórych uaktualnień, albo do konieczności wielu ingerencji operatora przy rozwiązywaniu konfliktów. Takie systemy dobrze działają przy małej ilości węzłów i małej ilości danych. Praktycznie oznacza to fakt, że wersja pokazywana w czasie demonstracji może wspaniale działać, podczas gdy wraz ze wzrostem ilości danych system może stać się trudny lub niemożliwy do utrzymania. Wydaje się, że sposobem na uniknięcie takich sytuacji może być odpowiednie zastosowanie metod formalnych. Głównym zamierzeniem niniejszej pracy, jest skonstruowanie formalnego opisu agentowego systemu obsługi baz danych, z modelem próbnych transakcji, który może zapewnić większy stopień współbieżności, a co za tym idzie większą efektywność realizowanych transakcji.
EN
In traditional replicated database systems the delayed message passingwith validation of timestamps are used. It may lead to missing of someupdates, or to many operator interventions for conflicts solving. Thesekind of systems usually work with few nodes and little amount ofdata. In practice it means that demonstration version might work goodwhile with growing number of data system might be difficult or evenimpossible to manage. It looks that the way to avoid such a situation may be the proper usageof formal methods. The main goal of this paper is the construction of formal specification of database agent system with tentative transaction model, witch might provide better concurrency and therefore higheravaila-bility of the system.
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