123,128 research outputs found
Multi-agent system to assure the logical security of data in distributed information system
The increased availability of information as a whole became an important problem and threat for its security, especially security of sensitive and confidential information and that is why the necessity to assure the security of such data became undeniable. The developers of applications an information systems put more and more stress on the aspect of their security and safety. Development of information systems has to answer more and more to problems connected to federated data sources and problems of heterogeneous distributed information systems. It is necessary to propose the architecture for secure cooperation of such systems. The paper presents the practical application of concepts of multi-agent systems in domain of logical security of data in distributed information systems. The purpose of presented solution is to support the process management of IT project realization based on the software creation methodologies
Organization of Multi-Agent Systems: An Overview
In complex, open, and heterogeneous environments, agents must be able to
reorganize towards the most appropriate organizations to adapt unpredictable
environment changes within Multi-Agent Systems (MAS). Types of reorganization
can be seen from two different levels. The individual agents level
(micro-level) in which an agent changes its behaviors and interactions with
other agents to adapt its local environment. And the organizational level
(macro-level) in which the whole system changes it structure by adding or
removing agents. This chapter is dedicated to overview different aspects of
what is called MAS Organization including its motivations, paradigms, models,
and techniques adopted for statically or dynamically organizing agents in MAS.Comment: 12 page
Multi-Agent Cooperation for Particle Accelerator Control
We present practical investigations in a real industrial controls environment
for justifying theoretical DAI (Distributed Artificial Intelligence) results,
and we discuss theoretical aspects of practical investigations for
accelerator control and operation. A generalized hypothesis is introduced,
based on a unified view of control, monitoring, diagnosis, maintenance and
repair tasks leading to a general method of cooperation for expert systems
by exchanging hypotheses. This has been tested for task and result sharing
cooperation scenarios. Generalized hypotheses also allow us to treat the
repetitive diagnosis-recovery cycle as task sharing cooperation. Problems
with such a loop or even recursive calls between the different agents are
discussed
Industrial Symbiotic Relations as Cooperative Games
In this paper, we introduce a game-theoretical formulation for a specific
form of collaborative industrial relations called "Industrial Symbiotic
Relation (ISR) games" and provide a formal framework to model, verify, and
support collaboration decisions in this new class of two-person operational
games. ISR games are formalized as cooperative cost-allocation games with the
aim to allocate the total ISR-related operational cost to involved industrial
firms in a fair and stable manner by taking into account their contribution to
the total traditional ISR-related cost. We tailor two types of allocation
mechanisms using which firms can implement cost allocations that result in a
collaboration that satisfies the fairness and stability properties. Moreover,
while industries receive a particular ISR proposal, our introduced methodology
is applicable as a managerial decision support to systematically verify the
quality of the ISR in question. This is achievable by analyzing if the
implemented allocation mechanism is a stable/fair allocation.Comment: Presented at the 7th International Conference on Industrial
Engineering and Systems Management (IESM-2017), October 11--13, 2017,
Saarbr\"ucken, German
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