Multi-agent system for dynamic scheduling and control in manufacturing cells

2002 ◽  
Author(s):  
D. Ouelhadj ◽  
C. Hanach ◽  
B. Bouzouia
Keyword(s):  
Dynamic Scheduling ◽  
Multi Agent System ◽  
Manufacturing Cells ◽  
Agent System ◽  
Multi Agent ◽  
And Control

Information Access and Control Operations in Multi-agent System Based Process Automation

2005 ◽  
pp. 144-153 ◽  
Author(s):  
Ilkka Seilonen ◽  
Teppo Pirttioja ◽  
Antti Pakonen ◽  
Pekka Appelqvist ◽  
Aarne Halme ◽  
...  
Keyword(s):  
Information Access ◽  
Multi Agent System ◽  
Process Automation ◽  
Agent System ◽  
Multi Agent ◽  
And Control

scholarly journals Multi-agent system for dynamic scheduling

2020 ◽  
Author(s):  
Bernardo Firme ◽  
Guilherme Lopes ◽  
Miguel S. E. Martins ◽  
Tiago Coito ◽  
Joaquim Viegas ◽  
...  
Keyword(s):  
Dynamic Scheduling ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Role of Multi-Agents System in Creation of Collaborative Environments within Mental Health Domain

2010 ◽  
pp. 196-214 ◽  
Author(s):  
Maja Hadzic ◽  
Darshan S. Dillon
Keyword(s):  
Mental Health ◽  
World Health ◽  
Complex Nature ◽  
Multi Agent System ◽  
Agent System ◽  
Effective Prevention ◽  
Efficient Management ◽  
Multi Agent ◽  
Health Organization ◽  
And Control

Mental illness is becoming one of the major problems of our society. The World Health Organization predicted that depression would be the world’s leading cause of disability by 2020. The exact causes of many mental illnesses are still unknown, mainly due to the complex nature of mental health. In this paper, the authors propose a multi-agent system designed to assist in effective and efficient management, retrieval and analysis of mental health information. They utilize the TICSA approach to define different agent Types, their Intelligence, Collaboration paths, address Security problems and Assemble individual agents. They use UML 2.1 Sequence and Composite diagrams to model social and goal-driven nature of the multi-agent system. The proposed multi-agent system has the potential to provide and expose the knowledge that will increase our understanding and control over mental health and help in development of effective prevention and intervention strategies.

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