Domain-independent planning for services in uncertain and dynamic environments

DOI10.1016/j.artint.2016.03.002zbMath1357.68208OpenAlexW2300979961WikidataQ59889346 ScholiaQ59889346MaRDI QIDQ286080

Eirini Kaldeli, Alexander Lazovik, Marco Aiello

Publication date: 19 May 2016

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2016.03.002

zbMATH Keywords

AI planningweb service composition

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Internet topics (68M11)

Uses Software

• PDDL

Cites Work

• Automatic behavior composition synthesis
• Modeling dynamic reconfigurations in Reo using high-level replacement systems
• Algorithms for propagating resource constraints in AI planning and scheduling: Existing approaches and new results
• Weak, strong, and strong cyclic planning via symbolic model checking
• Concise finite-domain representations for PDDL planning tasks
• Deterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the planners
• Planning control rules for reactive agents
• Constraint-directed techniques for scheduling alternative activities
• SAP Speaks PDDL: Exploiting a Software-Engineering Model for Planning in Business Process Management
• AUTOMATIC SERVICE COMPOSITION VIA SIMULATION
• Message-Based Web Service Composition, Integrity Constraints, and Planning under Uncertainty: A New Connection
• Compiling Uncertainty Away in Conformant Planning Problems with Bounded Width
• Reasoning about actions with sensing under qualitative and probabilistic uncertainty
• Static Analysis
• Planning as constraint satisfaction: Solving the planning graph by compiling it into CSP
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