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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.
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.
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.
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