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» On the complexity of hierarchical problem solving
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PDPTA
2008
14 years 11 months ago
A Parallel Processing Architecture for Solving Large-Scale Linear Systems
Solving linear systems with a large number of variables is at the core of many scienti c problems. Parallel processing techniques for solving such systems have received much attent...
Arun Nagari, Itamar Elhanany, Ben Thompson, Fangxi...
ECAI
2004
Springer
15 years 3 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...
AIIA
2007
Springer
15 years 3 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
IAT
2005
IEEE
15 years 3 months ago
Coordinating Non Cooperative Planning Agents: Complexity Results
Whenever independent, non-cooperative actors jointly have to solve a complex task, they need to coordinate their efforts. Typical examples of such task coordination problems are s...
Adriaan ter Mors, Cees Witteveen
IFIPTCS
2000
15 years 1 months ago
Hierarchical State Machines
Hierarchical state machines are finite state machines whose states themselves can be other machines. In spite of their popularity in many modeling tools for software design, very l...
Mihalis Yannakakis