Many agent systems have been developed and suggested for commercial application. However, in spite of the significant potential offered by the agent paradigm, the lack of such important properties as security, anonymity and untracebility especially in open dynamical environment, such as the Internet, has blocked the active implementation of agent technologies. Protecting agent systems poses a more demanding challenge comparing...

The paper presents a new security architecture for MAS, which supports anonymity of agent owners. The architecture is composed of two main elements: Module I: Untraceability Protocol Infrastructure and Module II: Additional Untraceability Support. Module I is based on the recently proposed untraceability protocol for MAS and it forms the core of the anonymity architecture, which can be supported by the ele- ments of the second...

W rozprawie zaproponowano nową architekturę bezpieczeństwa wspomagającą anonimowość w systemach agentowych. Moduł I architektury zapewnia funkcjonalność protokołu ochrony przed tropieniem (ang. untraceability), z tą zaletą, że nie wprowadza ograniczeń wobec agentów samodzielnie ustalających trasę własnej wędrówki. Stanowi rdzeń architektury, który zaimplementowano jako rozszerzenie platformy agentowej JADE, udostępniane publicznie...

This paper will show that some complex and repetitive actions performed in a company can be modelled for the sake of optimization and automaton. It is achieved by connecting business processes management and agent paradigms. Moreover it shows that organization structure can be mapped to distributed multi agent system. Finally it states that interorganization communication can be automated on the same basis as intra-organization...

In this paper, a new machine learning algorithm for multi-agent systems is introduced. The algorithm is based on associative arrays, thus it becomes less complex and more efficient substitute of artificial neural networks and Bayesian networks, which is confirmed by performance measurements. Implementation of machine learning algorithm in multi-agent system for aided design of selected control systems allowed to improve the performance...