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Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
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A Software Product Line Process to Develop Agents for the IoT.

Inmaculada Ayala1, Mercedes Amor2, Lidia Fuentes3

  • 1Departamento de Lenguajes y Ciencias de la Computación, Andalucía Tech, Universidad de Málaga, Campus de Teatinos s/n, 29071 Málaga, Spain. ayala@lcc.uma.es.

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Summary
This summary is machine-generated.

This study enhances Internet of Things (IoT) development by integrating multi-agent systems (MAS) with software product lines (SPL). It proposes a novel SPL process for Self-StarMAS, improving autonomous management of adaptable IoT applications.

Keywords:
CVLIoTSPLagentsvariability modeling

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Area of Science:

  • Computer Science
  • Software Engineering
  • Distributed Systems

Background:

  • The Internet of Things (IoT) presents challenges in managing heterogeneous, interconnected devices with dynamic application requirements.
  • Autonomous management of variability in IoT systems is crucial for robust and adaptable applications.

Purpose of the Study:

  • To enhance the development of IoT applications by combining agent technology and software product lines (SPL).
  • To propose a specific SPL process for Self-StarMAS (multi-agent systems) tailored for embedded agents in sensor motes.

Main Methods:

  • Utilizing multi-agent systems (MAS) for their distributed nature, context-awareness, and self-adaptation capabilities.
  • Defining a software product line (SPL) process using the Common Variability Language (CVL).
  • Focusing on the integration of Self-StarMAS agents within sensor motes.

Main Results:

  • A defined SPL process for Self-StarMAS is proposed, specifically addressing agents in sensor motes.
  • The approach aims to improve the autonomous management of variability in IoT systems.

Conclusions:

  • Agent-based systems, particularly Self-StarMAS, are well-suited for developing self-managed IoT systems.
  • Integrating SPL processes with MAS offers a promising direction for enhancing IoT application development and adaptability.