Advanced Evaluation of Variable Binding Strategies in BDI Agents with Integrated Failure Handling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0189429" target="_blank" >RIV/00216305:26230/26:0189429 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/book/10.1007/978-3-031-87327-0" target="_blank" >https://link.springer.com/book/10.1007/978-3-031-87327-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-87327-0_1" target="_blank" >10.1007/978-3-031-87327-0_1</a>
Alternative languages
Result language
angličtina
Original language name
Advanced Evaluation of Variable Binding Strategies in BDI Agents with Integrated Failure Handling
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Agents and Artificial Intelligence
ISBN
978-3-031-87326-3
ISSN
0302-9743
e-ISSN
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Number of pages
27
Pages from-to
3-29
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Rome
Event date
Feb 24, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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