The theory of smart environments assumes a diversity of human-supporting solutions that interact with each other and are oriented towards applying artificial intelligence.Concepts such as digital twin, software agent, and machine learning can aid the creation of smart environments by supporting the design and simulation of device behaviors.This article aimed to conduct research addressing the question how does multi-agent software impact smart grid security and show the practical exemplification of supporting smart grid security with multi-agents system.The paper's research findings discussed the AI-based knowledge management model in the context of the GRAI framework usage, which stands for Generative, Receptive Artificial Intelligence, and presents a proposal of an updated model that takes into account recent developments regarding GenAI and its consequences for KM.Based on the conducted research, an algorithm for collecting information from devices was proposed and used in a simulation based on the Isolation Forest algorithm.

Business process management is oriented towards improving processes to best support people, who are working in them.Recent innovations in the area of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and distributed systems have provided opportunities for new technologies applications, including process automation.This paper aims at the pathomorphological diagnosis (PD) process modeling for the ML solution implementation.The research method covers the PD laboratory case study.Authors argue that the PD process requires detailed analysis for its digitalization, automation, and combining with ML applications.Authors presented PD process models in BPMN notation, including laboratory equipment and emphasizing data and ML algorithms which are to be utilized in PD process digitalization for appropriate diagnosis for patients.Authors have found and emphasized that implementation of ML/AI algorithms is strongly based on fundamental process modeling.

Building systems designed to support business processes and knowledge management requires the development of methods facilitating the integration of both these approaches.In order to use organisational knowledge during performing business processes, it is necessary to define the business process that will be supported and the scope of knowledge that will be used, as well as developing the architecture of the system that will provide codified knowledge.These issues have been addressed by the theories and application example presented in this paper.The aim of the paper is to show a developed methodology for the process of building business process oriented autopoietic knowledge management support systems.Example of designing a business process oriented autopoietic knowledge management support system.

Modern organizations, knowledge-based organizations in particular, seek new IT solutions supporting business processes and knowledge management realized by them.One of the solutions, postulated by the authors supporting the actions of such organizations may be computer software in the form of software agents, considered in our study in terms of software agents society.The purpose of this article is to analyze the results of authors' three-year study on the modeling aspect of the software agents society in knowledge-based organizations.The paper presents theoretical issues connected with the use of knowledge management systems in organisations, partial results of interviews with developers of agent solutions in Poland, a proposal of a methodology for designing agent societies, elements of a developed prototype of an agent solution and findings of qualitative research in the area of usability of software agents. Modeling of software agents' societies in knowledge-based organizations.The results of the study.