Publication Details

Advanced Evaluation of Variable Binding Strategies in BDI Agents with Integrated Failure Handling

ZBOŘIL, F.; VÍDEŇSKÝ, F.; KOČÍ, R.; ZBOŘIL, F. Advanced Evaluation of Variable Binding Strategies in BDI Agents with Integrated Failure Handling. Lecture Notes in Computer Science, 2025, p. 0-0. ISSN: 1611-3349.
Czech title
Pokročilé vyhodnocení strategií vazby proměnných v BDI agentech s integrovaným mechanismem pro ošetření chyb
Type
journal article
Language
English
Authors
Keywords

BDI Agents, Agent Interpretation, AgentSpeak(L)

Abstract

This paper explores Belief-Desire-Intention (BDI) agents, focusing on integrating late and early variable binding strategies in the AgentSpeak(L) language. We comprehensively evaluate these strategies by introducing novel experimental environments simulating a virtual marketplace and a robotic logistics system. Additionally, we integrate a CAN-based failure handling mechanism to test its impact on both binding strategies. Our findings show that the late binding strategy significantly enhances agent performance in complex, dynamic scenarios, especially when combined with failure handling. We also acknowledge and discuss the computational overheads associated with late bindings. This research advances the robustness and adaptability of BDI agents, demonstrating their potential for real-world applications.

Published
2025
Journal
Lecture Notes in Computer Science, ISSN 1611-3349
BibTeX
@article{BUT189429,
  author="František {Zbořil} and František {Vídeňský} and Radek {Kočí} and František {Zbořil}",
  title="Advanced Evaluation of Variable Binding Strategies in BDI Agents with Integrated Failure Handling",
  journal="Lecture Notes in Computer Science",
  year="2025",
  issn="1611-3349"
}
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