Abstract
Operation testing and diagnostic tests, applied for distributed information systems, inherit and employ the properties of distribution, autonomy, goal formation and cooperation, natural for the multi-agent systems. This paper presents the behavioral diagnostics agent model, based on the evolutionary organization of component tests in the automata network environment. The model can be used to construct a multi-agent diagnostics system. A hybrid agent model provides a combination of reactive operation testing and deliberative diagnostic tests, based on the deterministic and evolutionary methods of synthesis of behavioral tests. An agent model consists of the component models of allocation environment, functioning goals and strategies, operations of observation, enforcement strategy and adaptation, initial component models, goals and strategies for ensuring the autonomy. Agent intelligence is based on a locally-exhaustive deterministic and pseudorandom targeted evolutionary synthesis of behavioral tests, providing and accumulating the results. Cooperation of the agents involves their deterministic and evolutionary interactions under the conditions of test feasibility and portability.
Highlights
Developing modern distributed information systems (DIS) are characterized by [1, 2]: the emergence of service-oriented architectures, cluster and GRID-systems, cloud and multi-agent technology, used under the conditions of partial definiteness and non-determination; the development of mathematical software for the purpose of creation of decomposed, functional, fuzzy, intelligent and competitive models; the integration of technologies, architectures and models with the use of common tools and technological means of design and application
The most important way to increase the reliability of the DIS is the technical diagnosing, which is the cornerstone of construction and introductions of the automated technical diagnosis systems (ATDS) [3, 4]
The DIS behavioral model as the network of automata (NA) is researched as the multi-agent systems (MAS) environment model and is characterized by structure, alphabets and compliances of components, data and knowledge structures, which can be altered in the DIS life cycle
Summary
Developing modern distributed information systems (DIS) are characterized by [1, 2]: the emergence of service-oriented architectures, cluster and GRID-systems, cloud and multi-agent technology, used under the conditions of partial definiteness and non-determination; the development of mathematical software for the purpose of creation of decomposed, functional, fuzzy, intelligent and competitive models; the integration of technologies, architectures and models with the use of common tools and technological means of design and application. In some cases, it surpasses the last one within the systems of critical application These DIS features are inherited by the ATDS models. Their importance is increased according to: scalability, distribution, multi-level and multiplatform nature, involving consideration of a great majority of special local features and characteristics; complexity, dynamism and incomplete definition, required for the elaboration of behavioral highlevel specifications and formal models of the entire DIS, its subsystems and the component compositions, and non-trivial interfaces of these components, their compositions and subsystems; autonomy, cooperation, goal formation, additional mobility, allowing to use the efficient technology of neuron networks and multi-agent systems (MAS) [5,6,7]. A conclusion can be drawn about the relevance and nontriviality of the solution of the problems of ASTD creation for the complex DIS
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