Open Multi-Agent Systems for Collaborative Web-Based Learning

2004 ◽  
Vol 2 (2) ◽  
pp. 36-45 ◽  
Author(s):  
Hongen Lu
Author(s):  
Hongen Lu

Web-based learning plays an important role in modern teaching environment. Many Web based tools are becoming available on this huge marketplace. Agent technology contributes substantially to this achievement. One of the fundamental problems facing both students and education services providers is how to locate and integrate these valuable services in such a dynamic environment. In this chapter, I present mediator-based architecture to build open multi-agent applications for e-learning. An agent services description language is presented to enable services advertising and collaboration. The language exploits ontology of service domain, and provides the flexibility for developers to plug in any suitable constraint languages. Multiple matchmaking strategies based on agent service ontology are given to help agents finding appropriate service providers. The series of strategies consider various features of service providers, the nature of requirements, and more importantly the relationships among services.


SIMULATION ◽  
2017 ◽  
Vol 93 (9) ◽  
pp. 737-748
Author(s):  
Massimiliano De Benedetti ◽  
Fabrizio Messina ◽  
Giuseppe Pappalardo ◽  
Corrado Santoro

This paper describes the architecture of AgentSimJs, a Javascript-based multi-agent simulator intended to execute and visualize simulations through a Web browser. It includes the needed capabilities to render a 3D scene with objects and agents. AgentSimJs has a modular architecture, the several different components provide a set of flexible primitives to program the agent behaviour. With AgentSimJs, a user can perform a fine tuning of all the aspects related to communication, motion, and group formation. Users can also define a custom network topology and communication model.


SIMULATION ◽  
2019 ◽  
Vol 96 (2) ◽  
pp. 233-250 ◽  
Author(s):  
Christian Nigro ◽  
Libero Nigro ◽  
Paolo F Sciammarella

This paper proposes a formal method based on the Theatre framework for modeling and analysis of knowledge and commitments in multi-agent systems (MASs). Theatre centers on actors and a reduction on to Uppaal, which enables both non-deterministic analysis (that is, qualitative analysis by exhaustive verification, or showing that something can possibly occur) and quantitative analysis (that is, estimating probability measures of event occurrence through simulations) of the same model. The article describes the modeling and analysis approach based on Theatre and Uppaal, and shows its application to the modeling and property checking of the NetBill protocol used in web-based MAS applications when selling/buying goods. Properties of the NetBill protocol are demonstrated by experimental results.


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