Article

The distributed simulation of multiagent systems

Dept. of Comput. Sci., Nottingham Univ.
Proceedings of the IEEE (impact factor: 6.81). 03/2001; DOI:10.1109/5.910853 pp.174 - 185
Source: IEEE Xplore

ABSTRACT Agent based systems are increasingly being applied in a wide range
of areas including telecommunications, business process modeling,
computer games, control of mobile robots, and military simulations. Such
systems are typically extremely complex and it is often useful to be
able to simulate an agent based system to learn more about its behavior
or investigate the implications of alternative architectures. The
authors discuss the application of distributed discrete event simulation
techniques to the simulation of multiagent systems. We identify the
efficient distribution of the agents' environment as a key problem in
the simulation of agent based systems and present an approach to the
decomposition of the environment that facilitates load balancing

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    Article: TeMAS–a multi-agent system for temporally rich domains
    Slobodan Ribarić, Tomislav Hrkać
    [show abstract] [hide abstract]
    ABSTRACT: In this paper, we present the model and simulator of a multi-agent system (MAS) for temporally rich domains. The theoretical foundations of the model include a knowledge representation scheme based on an original modification of Petri nets, called Petri nets with time tokens (PNTTs), as well as temporal reasoning based on the extension of Allen's temporal logic. The proposed MAS, called TeMAS, has a hierarchical structure, consisting of different levels, where each level contains clusters of agents. A paradigm of hierarchically organized blackboards is used for the communication among agents, clusters, as well as levels. We describe an object-oriented implementation of a program simulator of TeMAS and give an example of the use of the simulator for interpretation of events in a dynamic scene.
    Knowledge and Information Systems 03/2008; 15(1):1-30. · 2.22 Impact Factor
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Keywords

agents' environment
 
alternative architectures
 
behavior
 
business process modeling
 
efficient distribution
 
facilitates load balancing
 
military simulations
 
mobile robots
 
multiagent systems
 
simulate
 
simulation
 
systems
 
telecommunications
 
wide range
 

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