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» AI planning: solutions for real world problems
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ASP
2005
Springer
14 years 1 months ago
Applications of Preferences using Answer Set Programming
Preferences are useful when the space of feasible solutions of a given problem is dense but not all these solutions are equivalent w.r.t. some additional requirements. In this case...
Claudia Zepeda, Mauricio Osorio, Juan Carlos Nieve...
ECAI
2000
Springer
13 years 12 months ago
Flexible Graphplan
We argued in our Flexible Graphplan (FGP) work that the classical definition of the planning problem is too rigid to capture the full subtlety of many real problems. In light of t...
Ian Miguel, Peter Jarvis, Qiang Shen
TROB
2008
207views more  TROB 2008»
13 years 7 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
IAT
2006
IEEE
14 years 1 months ago
A Q-decomposition LRTDP Approach to Resource Allocation
This paper contributes to solve effectively stochastic resource allocation problems known to be NP-Complete. To address this complex resource management problem, the merging of tw...
Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak...
PPSN
1998
Springer
13 years 11 months ago
Comparison of Evolutionary Algorithms for Design Optimization
The production of specimen for microsystems or microcomponents is both, time and material-consuming. In a traditional design process the number of possible variations which can be ...
Wilfried Jakob, Martina Gorges-Schleuter, Ingo Sie...