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Extending MAM5 Meta-Model and JaCalIV E Framework to Integrate Smart Devices from Real Environments.

J A Rincon1, Jose-Luis Poza-Lujan2, V Julian1

  • 1Universitat Politècnica de València, Departamento de Sistemas Informáticos y Computación (DSIC), Camino de Vera s/n, Valencia, Spain.

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Summary
This summary is machine-generated.

This study introduces augmented mirror worlds for intelligent virtual environments by extending the MAM5 meta-model and JaCalIVE framework. Integrating smart resource artifacts and human-in-the-loop agents minimizes simulation-reality errors.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Virtual Reality

Background:

  • Developing intelligent virtual environments requires robust frameworks for real and virtual world integration.
  • Existing models often lack mechanisms to seamlessly bridge the physical and digital realms.

Purpose of the Study:

  • To extend the MAM5 meta-model and JaCalIVE framework for creating augmented mirror worlds.
  • To enable virtual environments that not only mirror but also complement the real world.
  • To incorporate real-world interaction capabilities into agent-based simulations.

Main Methods:

  • Extension of the MAM5 meta-model and JaCalIVE framework.
  • Introduction of a 'smart resource artifact' component for real-world device access.
  • Inclusion of a 'human in the loop' agent for system integration.
  • Simulation of a light control system using the enhanced framework.

Main Results:

  • The extended MAM5 and JaCalIVE successfully facilitated the development of augmented mirror worlds.
  • Smart resource artifacts enabled agents to interact with both virtual and real sensors/actuators.
  • Agent-based simulations incorporating real-world elements demonstrated reduced discrepancies between simulated and actual system behavior.

Conclusions:

  • The proposed extension enhances intelligent virtual environment development by coupling real and virtual worlds.
  • Smart resource artifacts are effective in minimizing the error between simulated and real systems.
  • The integration of physical world elements into simulations improves their fidelity and applicability.