Architectural approach to interoperability between multi-agent systems and 3D virtual worlds

The three-dimensional interfaces are approaching to virtual reality, because allowing to create simulation scenarios in which man interacts to likeness of the real live, however, a rich graphical environment and natural interaction itself neither warrants effective learning, it need a monitoring, evaluation and feedback. Therefore, We propose the integration of three-dimensional environments with multi agents system, it is looking customize the learning process to the individual needs of students, organize and distribute content efficiently and support student reflection on their learning. Different studies have made specific implementations of agents through markup languages, however the proposed model, looks for general purpose implementations. Our architectural model integrates the behaviors of multi-agent systems and virtual 3D World. Validation was performed through an implementation that integrates Java Agent Development Framework developed by Telecom Italia Lab and OpenSimulator.

[1]  Miguel-Ángel Sicilia,et al.  Studying the effectiveness of multi-user immersive environments for collaborative evaluation tasks , 2012, Comput. Educ..

[2]  Catherine McLoughlin Broadening assessment strategies with information technology , 2003 .

[3]  Youngkyun Baek,et al.  Exploring factors of media characteristic influencing flow in learning through virtual worlds , 2011, Comput. Educ..

[4]  Yasmine Arafa,et al.  Scripting embodied agents behaviour with CML: character markup language , 2003, IUI '03.

[5]  M. Nikraz,et al.  A methodology for the analysis and design of multi-agent systems using JADE , 2006 .

[6]  Brendan Tangney,et al.  SLurtles: Supporting constructionist learning in Second Life , 2013, Comput. Educ..

[7]  Sang-Gun Lee,et al.  I became an attractive person in the virtual world: Users' identification with virtual communities and avatars , 2012, Comput. Hum. Behav..

[8]  Nadia Magnenat-Thalmann,et al.  Subjective Fabric Evaluation , 2007, CW 2007.

[9]  Sean Brophy,et al.  Teaching an aerospace engineering design course via virtual worlds: A comparative assessment of learning outcomes , 2013, Comput. Educ..

[10]  D. Randy Garrison,et al.  Critical Inquiry in a Text-Based Environment: Computer Conferencing in Higher Education , 1999, Internet High. Educ..

[11]  Mark T. Bolas,et al.  Immersive training games for smartphone-based head mounted displays , 2012, 2012 IEEE Virtual Reality Workshops (VRW).

[12]  Mitsuru Ishizuka,et al.  MPML3D: agent authoring language for virtual worlds , 2008, ACE '08.

[13]  Fuhua Lin,et al.  An Approach for Integrating 3D Virtual Worlds with Multiagent Systems , 2011, 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications.

[14]  Hongchi Shi,et al.  An intelligent distributed environment for active learning , 2001, WWW '01.

[15]  Abdolhossein Sarrafzadeh,et al.  "How do you know that I don't understand?" A look at the future of intelligent tutoring systems , 2008, Comput. Hum. Behav..

[16]  Luis Jiménez,et al.  A New Approach to Grid Computing for Distributed Rendering , 2011, 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

[17]  Roberto Ferro Escobar,et al.  Dynamic, ecological, accessible and 3D Virtual Worlds-based Libraries using OpenSim and Sloodle along with mobile location and NFC for checking in , 2012, Int. J. Interact. Multim. Artif. Intell..

[18]  Agostino Poggi,et al.  Developing Multi-agent Systems with JADE , 2007, ATAL.

[19]  Susan Bull,et al.  Bringing chatbots into education: Towards natural language negotiation of open learner models , 2006, Knowl. Based Syst..