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CI
2005
106views more  CI 2005»
15 years 6 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
KER
2007
90views more  KER 2007»
15 years 6 months ago
PLTOOL: A knowledge engineering tool for planning and learning
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...
Susana Fernández, Daniel Borrajo, Raquel Fu...
ESWA
2007
100views more  ESWA 2007»
15 years 6 months ago
Using memetic algorithms with guided local search to solve assembly sequence planning
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
Hwai-En Tseng, Wen-Pai Wang, Hsun-Yi Shih
214
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UMUAI
1998
157views more  UMUAI 1998»
15 years 6 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
EUSFLAT
2009
122views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
Production and Transportation Planning - A fuzzy Approach for Minimizing the Total Cost
Abstract-- In this paper, we deal with the production and transportation planning of a household appliances manufacturer that has production facilities and central stores for resel...
Heinrich J. Rommelfanger