International Conference on Autonomic Computing, 2004. Proceedings.
DOI: 10.1109/icac.2004.1301359
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Bringing planning to autonomic applications with ABLE

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Cited by 10 publications
(4 citation statements)
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“…• Explainable self-programming. The agent uses an AI planner (Srivastava, Bigus, and Schlosnagle 2004) to program itself to derive certain physical quantities. Metadata on microfunction inputs and outputs are compiled into a PDDL domain description.…”
Section: Technical Detailsmentioning
confidence: 99%
“…• Explainable self-programming. The agent uses an AI planner (Srivastava, Bigus, and Schlosnagle 2004) to program itself to derive certain physical quantities. Metadata on microfunction inputs and outputs are compiled into a PDDL domain description.…”
Section: Technical Detailsmentioning
confidence: 99%
“…The purpose of forthcoming work is to set up this policy type thanks to a Prolog-based engine. To manage the control loop with rules, IBM propose the use of the ABLE rules engine [16]. We use a very simple rules engine, developed for the prototype.…”
mentioning
confidence: 99%
“…1 Available at http://www.alphaworks.ibm.com/tech/able. ABLE has been extended with a planning rules that is compliant with the planning community's Planning Domain Description Language (PDDL [7]) [15]. Since PDDL comes in various flavors, i.e.…”
Section: Domain Independent Planning With Ablementioning
confidence: 99%
“…A scenario for self-recovery of web applications was shown with ABLE in [15]. The objective is that a web application (e.g., the Online Book Store) should be able to automatically self-configure and self-heal in response to runtime exigencies to keep the website available.…”
Section: Domain Independent Planning With Ablementioning
confidence: 99%