Abstract. Behavior based detection of unfavorable activities in multiagent systems (presented in [3, 4, 5]) is an approach to the problem of detection of intruders. This approach refers to evaluation of behavior of every agent which exists in a multi-agent system. Process of behavior evaluation is distributed -every agent makes autonomous behavior evaluation of other agents. This means that an agent is evaluated separately by all agents in the environment of the secured system. That separate results of behavior evaluations have to be collected and an algorithm should be used in order to elect the worst agents which should be eliminated. Collecting and data processing of results of distributed behavior evaluations is the main topic of this article.

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Abstract. Ethically-social approach to security problem uses the idea of agents functioning evaluation in a multi-agent system in the analogous way to the evaluation of a person's behavior in small human societies. This approach involves distributed evaluations made by autonomous agents and processing of the results of this evaluations in order to create a collective decision of a society of agents. Research presented in this paper focuses on the part of domain of ethically-social behavior evaluation that specifies how an agent evaluates the behavior of another agent. The idea of heterogeneous behavior evaluations is formulated and tested in this domain.

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