The Case for a Reference Model for Agent-Based Systems

Author(s):  
P.J. Modi ◽  
W. Regli ◽  
I. Mayk
Keyword(s):  
Author(s):  
Pragnesh Jay Modi ◽  
Spiros Mancoridis ◽  
William M. Mongan ◽  
William Regli ◽  
Israel Mayk
Keyword(s):  

2011 ◽  
pp. 170-187 ◽  
Author(s):  
Rustam Vahidov

This chapter discusses recent advances in the use of agent technology in Decision Support Systems (DSSs) and introduces a model for an agent-based DSS. The chapter analyzes the modern requirements for the nature of decision support and argues in favor of adopting active situated paradigm as the basis for building DSS. The benefits of agent technology are highlighted in relation to the desired features of DSS and the past research in this direction is reviewed and systematically categorized. The description of an agent-based DSS elaborating on the architecture of the system and the potential use of data mining techniques is then introduced. The approach is illustrated with an agent-based DSS for investment decisions. The chapter informs the readers about the state of art in agent-based DSS, and provides a framework that can be used as a reference model in future research in the area.


Author(s):  
W.C. Regli ◽  
I. Mayk ◽  
C.J. Dugan ◽  
J.B. Kopena ◽  
R.N. Lass ◽  
...  
Keyword(s):  

2018 ◽  
Vol 2 (2) ◽  
pp. 76
Author(s):  
Jeremiah A. Lasquety-Reyes

I consider the applicability of Agent-Based Modeling (ABM) and computer simulations for ethical theories. Though agent-based modeling is already well established in the social sciences, it has not yet found acceptance in the field of philosophical ethics. Currently, there are only a few works explicitly connecting ethics with agent-based modeling. In this paper, I show that it is possible to build computer simulations of ethical theories and that there are also potential benefits in doing so: (1) the opportunity for virtual ethical experiments that are impossible to do in real life, and (2) an increased understanding and appreciation of an ethical theory either through the programming implementation or through the visual simulation. In the first part of the paper, I mention some social science simulations with ethical import that could encourage ethicists to work with ABM. Second, I list the few pioneering works that attempt to combine computer simulation with philosophical ethics, the most prominent being Evolving Ethics: The New Science of Good and Evil (2010) by Mascaro et al. Third, I give pointers for the computer simulation of the most prominent ethical theories: deontological ethics, utilitarianism, feminist care ethics, and virtue ethics. In the final part, I consider the potential of using an existing reference model for the simulation of human behavior, the PECS model, as the foundation for a computer simulation of virtue ethics.


2011 ◽  
Vol 179-180 ◽  
pp. 1266-1271 ◽  
Author(s):  
Ya Li ◽  
Hai Rui Wang ◽  
Lin Wu

A Multi-Agent based distributed fault diagnosis reference model is important for high speed and automation. Fault diagnosis and maintenance are vital aspects in industrial process, in this sense, fault diagnosis systems should support decision-making tools, new diagnosis approaches and techniques, updating of the devices. In this paper a Multi-Agent based fault diagnosis reference model is presented which combines the existing models and Multi-Agent. This model is based on a generic framework using Multi-Agent System; in this sense, the fault diagnosis problem is viewed like a feedback control process and the actions are related to the decision-making in the scheduling of the preventive maintenance task and the running of preventive and corrective specific maintenance tasks. As a result, a particular prototype design based on the JADE platform is obtained. This new model is compared to some important existing models and applied to a real investigation. This Multi-Agent based model provides a comprehensive treatment of the fault management problem, it can be used in any level of industrial environments and it can be integrated with the supervision applications without modifying the current automation architecture.


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