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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
Published on: January 7, 2019
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Modularization in Belief-Desire-Intention agent programming and artifact-based environments.
Gustavo Ortiz-Hernández1, Alejandro Guerra-Hernández2, Jomi F Hübner3
1Facultad de Ciencias Agrícolas, Universidad Veracruzana, Xalapa, Veracruz, Mexico.
Peerj. Computer Science
|December 19, 2022
Summary
This study introduces modularization for agent systems using namespaces within the Belief-Desire-Intention (BDI) model. This approach enhances code organization, reusability, and maintainability in agent-oriented programming.
Area of Science:
- Artificial Intelligence
- Software Engineering
- Agent-Oriented Programming
Background:
- The Agents and Artifacts meta-model lacks robust modularization capabilities.
- Existing agent systems often struggle with code organization, reusability, and maintainability.
- The Belief-Desire-Intention (BDI) model provides a framework for agent agency.
Purpose of the Study:
- To extend the Agents and Artifacts meta-model for effective modularization.
- To leverage namespaces for organizing agent programming elements.
- To improve software engineering principles in agent development.
Main Methods:
- Adoption of the Belief-Desire-Intention (BDI) model for modular agency.
- Utilization of namespaces to define module boundaries and content.
- Implementation of an auction scenario to demonstrate feasibility.
- Evaluation of code metrics (coupling, cohesion, complexity) for modular vs. non-modular code.
Main Results:
- Demonstrated practical feasibility through an auction scenario.
- Achieved enhanced coupling, cohesion, and complexity metrics compared to non-modular code.
- Successfully addressed the name-collision issue.
- Provided a module interface adhering to the information-hiding principle.
Conclusions:
- The proposed extension enables effective modularization in agent systems.
- The approach promotes reusability, extensibility, and maintainability.
- The solution is independent of specific BDI agent-oriented programming languages and can encapsulate environment components.
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