Planning and control in artificial intelligence: A unifying perspective

DOI10.1023/A:1011286518035zbMath0997.90533MaRDI QIDQ5945807

Héctor Geffner, Blai Bonet

Publication date: 2 July 2002

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

zbMATH Keywords

Markov decision processesplanning with incomplete informationplanning with uncertainty

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Markov and semi-Markov decision processes (90C40) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (3)

SLAP: specification logic of actions with probability ⋮ On-the-fly informed search of non-blocking directed controllers ⋮ From knowledge-based programs to graded belief-based programs. I: On-line reasoning

Uses Software

• STAN
• Walksat
• CPlan
• PDDL
• Graphplan

Cites Work

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• Linear-space best-first search
• Depth-first iterative-deepening: An optimal admissible tree search
• Constraint satisfaction using constraint logic programming
• The expected length of a shortest path
• Using regression-match graphs to control search in planning
• Fast planning through planning graph analysis
• Using temporal logics to express search control knowledge for planning
• STRIPS: A new approach to the application of theorem proving to problem solving
• Real-time heuristic search
• An Algorithm for Solving the Job-Shop Problem
• Planning as heuristic search

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