Bringing Multi-agent Systems into Human Organizations: Application to a Multi-agent Information System

2003 ◽  
pp. 168-179 ◽  
Author(s):  
Emmanuel Adam ◽  
René Mandiau
Keyword(s):  
Information System ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

Engineering Adaptive Multi-Agent Systems

2011 ◽  
pp. 513-535
Author(s):  
Carole Bernon ◽  
Valérie Camps ◽  
Marie-Pierre Gleizes ◽  
Gauthier Picard
Keyword(s):  
Information System ◽  
Theoretical Background ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
The Third ◽  
Multi Agent

This chapter introduces the ADELFE methodology, an agent-oriented methodology dedicated to the design of systems that are complex, open, and not well-specified. The need for its development is justified by the theoretical background given in the first section, which also gives an overview of the concepts on which multi-agent systems developed with ADELFE are based. A methodology is composed of a process, a notation, and tools. Tools are presented in the second section and the process in the third one, using an information system case study to better visualize how to apply this process.

scholarly journals The principles of synchronization in the distributed information systems

2020 ◽  
Vol 183 (5-6) ◽  
pp. 79-88
Author(s):  
Ivan Sinitsyn ◽  
◽  
Anton Mironov ◽  
Yuriy Vorontsov ◽  
Nikita Borzykh ◽  
...  
Keyword(s):  
Information System ◽  
Information Systems ◽  
Geographic Location ◽  
Data Synchronization ◽  
Multi Agent Systems ◽  
Distributed Information Systems ◽  
Distributed Information ◽  
Agent Systems ◽  
Multi Agent ◽  
Google Search

Information, especially its automated processing, is still an important factor in improving the efficiency of any organization. Distributed information systems (IS, ISs) differ from conventional ISs in architectural and infrastructural principles, as well as in the geographic location with integration into one information cluster. One of the examples of distributed information systems is the infrastructure of the Google search engine - more than 2,000 servers, with server bases in almost every country in the world, which allows achieving a minimum delay in sending and receiving client requests. A distributed information system can have a large number of different databases, both local and remote, with which constant data synchronization is required, while maintaining a backup copy of previous data in case of failures and emergency stops. Distributed information systems are highly reliable and require multi-level protection of the cluster from unauthorized access, adherence to the principles of data synchronization, which differ from a conventional information system. Within the framework of this paper, synchronization processes are investigated using mathematical and computational tools, creating an environment for distributed information systems. It is advisable to use the results of the work to coordinate the operation of components of multi-agent systems for various purposes, transmit messages between agents, build communication protocols, and provide conditions for self-organization of multi-agent systems.

Engineering Adaptive Multi-Agent Systems

2011 ◽  
pp. 172-202 ◽  
Author(s):  
Carole Bernon ◽  
Valérie Camps ◽  
Marie-Pierre Gleizes ◽  
Gauthier Picard
Keyword(s):  
Information System ◽  
Theoretical Background ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
The Third ◽  
Multi Agent

This chapter introduces the ADELFE methodology, an agent-oriented methodology dedicated to the design of systems that are complex, open, and not well-specified. The need for its development is justified by the theoretical background given in the first section, which also gives an overview of the concepts on which multi-agent systems developed with ADELFE are based. A methodology is composed of a process, a notation, and tools. Tools are presented in the second section and the process in the third one, using an information system case study to better visualize how to apply this process.

Collaborative Multiagent Systems — an Alternative to Full Automation of Production

2020 ◽  
Vol 21 (7) ◽  
pp. 404-411
Author(s):  
V. V. Serebrenny
Keyword(s):  
Information System ◽  
Sensory Information ◽  
Physical Characteristics ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Agent Systems ◽  
Collaborative System ◽  
Multi Agent ◽  
Full Automation

The paper proposes a new approach as an alternative to full automation of processes that meets current economic trends — collaborative multi-agent systems. In this concept, people and robots are considered as agents in a single sensory-information field, who perform tasks to achieve the goals of the collaborative multi-agent system. The urgency of collaborative multi-agent systems results from the fact that the industrial use of fully automated multi-component systems is limited by the financial and infrastructural unavailability of various industries to switch to completely unmanned technologies. The proposed approach combines the latest, but remaining quite recouped, technological advances along with highly skilled human labor. The use of collaborative multi-agent systems will be economically justified in the manufacture of products in small batches, in the conditions of rapid change of product lines, as well as the presence of staff shortages. The article shows that such an approach can significantly reduce automation costs, while ensuring that the specified production indicators are met. This approach allows taking a fresh look at a human, considering him and a robot as equal partners within a collaborative system. The basic concepts and distinctive characteristics of collaborative multi-agent systems are formulated and presented in the work, justifications for their use are given. Creating a new class of collaborative multi-agent systems requires solving a number of problems associated with the interaction of man and robot. The article considers issues related to the work of a person within a collaborative system, with a rational separation of human functions and an automated production system, in accordance with the necessary level of collaboration. The inclusion of a person with his psychoemotional and physical characteristics as an equivalent agent of a multi-agent system causes difficulties in formalizing collaborative multi-agent systems associated with the need to take these features into account and create a sensory-information system. The inclusion of a person with his psychoemotional and physical characteristics as an equivalent agent of a multi-agent system causes difficulties in formalizing collaborative multi-agent systems associated with the need to take these features into account and create a sensory-information system. The paper discusses ways to formalize a collaborative multi-agent system and management approaches.

Sign in / Sign up

Export Citation Format

Share Document