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Related Experiment Videos

A real-time architecture for time-aware agents.

Konstantinos-Vassileios Prouskas1, Jeremy V Pitt

  • 1Imperial College, London SW7 2BT, UK.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|October 16, 2004
PubMed
Summary

A new three-layer time-aware agent architecture unifies human and agent interactions across different time frames. It offers adaptable real-time mechanisms and predictable interaction scheduling for complex environments.

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Area of Science:

  • Artificial Intelligence
  • Multi-Agent Systems
  • Real-Time Systems

Background:

  • Human-agent interaction is challenging due to disparate time frames.
  • Existing agent architectures lack mechanisms for temporal unification.
  • Effective collaboration requires synchronized operation despite differing temporal scales.

Purpose of the Study:

  • To introduce a novel three-layer time-aware agent architecture.
  • To enable seamless interaction between humans and agents operating in different time frames.
  • To address challenges in configuring and applying agents in mixed human-agent environments.

Main Methods:

  • Developed a three-layer architecture: April real-time run-time (ART), time aware layer (TAL), and application agents layer (AAL).

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  • Implemented an online, real-time, dynamic priority-based scheduling algorithm (O(n) complexity) for agent process computation.
  • Designed a novel O(n^2) interaction scheduling algorithm for predicting and guaranteeing interaction times.

    • Main Results:

    • The ART layer provides a real-time agent platform with scalable scheduling performance.
    • The TAL layer unifies human and agent interactions, irrespective of temporal scale.
    • The architecture demonstrates flexibility, adaptability, and agent control over real-time mechanisms.

    Conclusions:

    • The time-aware agent architecture effectively addresses temporal disparities in human-agent interaction.
    • It facilitates agent configuration and application in environments with active human and agent roles.
    • The proposed architecture enhances collaboration by temporally unifying disparate operational scales.