Max Ugaz Presentation for VWBPE 2013
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Max Ugaz Presentation for VWBPE 2013

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Virtual worlds are part of the shared spaces technologies and are applied to strengthen the weaknesses of teamwork, identifying a direct relationship with the intellectual capital. Theoretical models ...

Virtual worlds are part of the shared spaces technologies and are applied to strengthen the weaknesses of teamwork, identifying a direct relationship with the intellectual capital. Theoretical models on virtual worlds have different attributes from other digital media and allow getting effective team collaboration; this is possible because unlike 3D games, virtual world’s user actions lie in their interest. Based on the information about virtual worlds, intellectual capital, collaborative knowledge management, intelligent agents and MPLM3D platform, we propose a model to demonstrate how the interaction with intelligent agents allows getting an effective collaborative learning using the platform Second Life to non-native in social issues as democracy and social development.

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Max Ugaz Presentation for VWBPE 2013 Max Ugaz Presentation for VWBPE 2013 Presentation Transcript

  • Model for Effective Collaborative Learning in Virtual Worlds with Intelligent Agents Max Ugaz, Augusto Bernuy Presenter: Max Ugaz (Maximo Eames) Virtual Worlds Best Practices in Education 2013: Beyond the Stage – July 24th to 27th
  • Shared Spaces Technologies A new model based on... Virtual Worlds relationship with the intellectual capital, effective team collaboration and user actions based on their interest.
  • Proposal A Model that shows interaction with intelligent agents, allows getting an effective collaborative learning using the platform Second Life to non-native in social issues as democracy and social development.
  • Intellectual Capital "Can not be touched but it can make money for the company." "Is the search for effective use of knowledge." "Represents the collective intangible assets that can be identified and measured."
  • Intellectual Capital Generate value
  • Virtual Worlds No Rules. No objectives. Interaction depends on users.
  • Collaborative Knowledge Management Synergy in organizations, to capture the knowledge in the people and implement the effective collaboration between them.
  • Intelligent Agents and Multi Agent Systems - MAS
  • Intelligent Distributed Control Systems based on Agents (SCDIA) Measurement Agent Controller Agent Coordinator Agent Actuator Agent Specialized Agents
  • Multi-User Virtual Environments - MUVEs The use of automated agents conversation with artificial intelligence capabilities can develop more interaction with people from identifying their human and emotional profiles.
  • Multi-User Virtual Environments - MUVEs
  • Intelligent Agents Intelligent agent is a software entity, that based on its knowledge (observing and imitating, receiving feedback, receiving instructions, asking to other agents), performs a task.
  • Intelligent Agents Domain Classifications Field of action 1) Desktop Agents (OS agents, application agents, etc.). 2) Internet Agents (search agents, filtering, information retrieval, reporting agents, mobile agents, etc.). 3) Intranet Agents (Customization cooperative agents, database agents, process automation agents, etc..). Function 1) System Agents, 2) Filtering agents, 3) Profiles Agents; 4) Monitoring Agents, 5) Recommendation Agents, among others
  • Collaboration and team learning in virtual worlds Capabilities of virtual worlds support team collaboration based on: 1. 3D environment itself. 2. The avatars based interaction through which all communications in virtual environments are performed.
  • Proposal for collaborative learning in virtual worlds Capabilities of virtual worlds for collaborative teams can effectively support collaborative learning.
  • Proposal for collaborative learning in virtual worlds
  • Proposal for collaborative learning in virtual worlds
  • Agents Management in Virtual Worlds with MPML3D
  • Experimentation with an agent avatar in Second Life based on MPML3D
  • Experimentation with an agent avatar in Second Life based on MPML3D References: • Bernuy A. y Joyanes L. (2007) Propuesta de un Modelo de Negocios basados en el Capital Intelectual, CollECTeR Iberoamérica 2007. • Benavides, E. (2012) Medición, Valoración y Determinación del Impacto del Capital Intelectual en la Generación de Valor en la Empresa, Revista de la Facultad de Ciencias Económicas y Administrativas. Universidad de Nariño Vol. XIII. No. 1, 1er. Semestre 2012, páginas 100-115. • Kumar, S (2008).Second Life and the New Generation of Virtual Worlds Published by the IEEE Computer Society, Sep2008, Vol. 41 Issue 9, p46-53, 8p • Ullrich Sebastian, Prendinger Helmut and Ishizu Mitsuru (2008) MPML3D Agent Authoring Language for Virtual Worlds, copyright ACM 978-1-60558-393-8/08/12 • Ullrich Sebastian; Bruegmann Klaus; Prendinger1 Helmut, and Ishizuka Mitsuru (2008a) Extending MPML3D to Second Life © Springer-Verlag Berlin Heidelberg • Van der Land, S., Schouten, A. P., Van den Hoof, B., Feldberg, F., (2011). Modeling the Metaverse: A Theoretical Model of Effective Team Collaboration in 3D Virtual Environments • Zhang, L (2007). An Autonomous Decentralized Multi-server Framework For Large Scale Collaborative Virtual Environments. International Journal of Image and Graphics Vol. 7, No. 2 (2007) 353–375 World Scientific Publishing Company.
  • Thank you!!!