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.

This article considers a problem of security in a computer systems in context of some mechanisms which act in societies and which mechanisms are seen as being useful to assure security in a computer system. A new approach to the security problem is discussed, which refers to identifying computer resource (e.g. agent, program) on the basis of this resource behaviour (actions which this resource undertakes). Mechanisms are presented, which may enable to recognize and dismiss resources undesirable or harmful in the computer system on the basis of behavior observation. Proposed mechanisms were tested in simulations of the computer system under DoS attack. The results of tests are presented and discussed.

One way to ensure the required technical characteristics of castings is the strict control of production parameters affecting the quality of the finished products. If the production process is improperly configured, the resulting defects in castings lead to huge losses. Therefore, from the point of view of economics, it is advisable to use the methods of computational intelligence in the field of quality assurance and adjustment of parameters of future production. At the same time, the development of knowledge in the field of metallurgy, aimed to raise the technical level and efficiency of the manufacture of foundry products, should be followed by the development of information systems to support production processes in order to improve their effectiveness and compliance with the increasingly more stringent requirements of ergonomics, occupational safety, environmental protection and quality. This article is a presentation of artificial intelligence methods used in practical applications related to quality assurance. The problem of control of the production process involves the use of tools such as the induction of decision trees, fuzzy logic, rough set theory, artificial neural networks or case-based reasoning.

This paper concerns the domain of contracts in the metallurgy and heavy industry, that are the form of deals making between cooperating companies being suppliers and consumers of some goods. From a general point of view cooperation enables for small companies to realize orders that are too large for an individual producer, but contract negotiations, further scheduling and support of production are usually too difficult and complicated. This paper presents a proposition of an information system, that should make cooperation between companies more available. Such system should be distributed among cooperating producers, what is the reason for choosing of the agent technology as the main software paradigm. This system should also support interchanging of information in many norms and technical standards, what results in the use of ontology concerning metallurgy and heavy industry.

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