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AIPS
2006
13 years 8 months ago
Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning
In AI Planning, as well as Verification, a successful method is to compile the application into boolean satisfiability (SAT), and solve it with state-of-the-art DPLL-based procedu...
Jörg Hoffmann, Carla P. Gomes, Bart Selman
SSDBM
1998
IEEE
101views Database» more  SSDBM 1998»
13 years 11 months ago
Specifications for Efficient Indexing in Spatiotemporal Databases
: A new issue that arises in modern applications involves the efficient manipulation of (static or moving) spatial objects, and the relationships among them. As a result, modern da...
Yannis Theodoridis, Timos K. Sellis, Apostolos Pap...
ECAI
2004
Springer
14 years 10 days ago
Compilation of LTL Goal Formulas into PDDL
Abstract. Temporally extended goals are used in planning to express safety and maintenance conditions. Linear temporal logic is the language often used to express temporally extend...
Stephen Cresswell, Alexandra M. Coddington
ECAI
2010
Springer
13 years 8 months ago
A unified interaction-aware goal framework
Abstract. Goals are central to the design and implementation of intelligent software agents. Much of the literature on goals and reasoning about goals only deals with a limited set...
Michael Winikoff, Mehdi Dastani, M. Birna van Riem...
ECAI
2008
Springer
13 years 8 months ago
Learning in Planning with Temporally Extended Goals and Uncontrollable Events
Recent contributions to advancing planning from the classical model to more realistic problems include using temporal logic such as LTL to express desired properties of a solution ...
André A. Ciré, Adi Botea