Applications of agents in supporting an organisation's operations addressed in academic literature largely refer to issues connected with business processes and management of an organisation knowledge, which are considered separately. In the first case, multi-agent systems are perceived as an element that performs and automates business processes of an organisation and substitutes its IT systems and users. In the second case, agent solutions are perceived as tools designed to automate or support the user in the different stages of the life cycle of the knowledge management system. The research discussed in this paper addresses the aspect of integrating both these approaches and refers to the point where both these classes of systems meet. The aim of this paper is to present the concept of an original solution ensuring integration of knowledge management systems and business process handling, which is supported by agent systems. The first part of the paper presents current research in the area of integration of software agents within business processes and the processes of knowledge processing. The second part presents the architecture of a software solution designed to support the modelling of business processes and improve these processes by ensuring the process participants access to organisational knowledge. The third part shows an example of using this architecture.

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The present paper deals with selected aspects of energy prosumers’ security needs. The analysis reported aim to illustrate the concept of the implementation of intrusion-detection systems (IDS)/intrusion-prevention systems (IPS), as supporting agent systems for smart grids. The contribution proposes the architecture of an agent system aimed at collecting, processing, monitoring, and possibly reacting to changes in the smart grid. Furthermore, an algorithm is proposed to support the construction of a smart-grid-operating profile, based on a set of parameters describing the devices. Its application is presented in the example of data collected from the network, indicating the process of building a device-operation profile and a possible mechanism for detecting its changes. The proposed algorithm for building the operating profile of devices in the smart grid, based on the mechanism of continuous learning by the system, allows for detecting network malfunctions not only in terms of individual events but also regarding limits of the scope of system alerts, by determining the typical behavior of devices in the smart grid. The paper gives recommendations to a software-agent system development, which is dedicated to detecting and preventing anomalies in smart grids.