Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Principles of artificial intelligence
Principles of artificial intelligence
A theoretical analysis of conjunctive-goal problems
Artificial Intelligence
On the complexity of blocks-world planning
Artificial Intelligence
The computational complexity of propositional STRIPS planning
Artificial Intelligence
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Extending Graphplan to handle uncertainty and sensing actions
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Computational complexity of planning and approximate planning in the presence of incompleteness
Artificial Intelligence
Artificial Intelligence
On reasonable and forced goal orderings and their use in an agenda-driven planning algorithm
Journal of Artificial Intelligence Research
A critical assessment of benchmark comparison in planning
Journal of Artificial Intelligence Research
Mobile WiMAX systems: performance and evolution
IEEE Communications Magazine
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
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In this paper Block World environment with STRIPS representation is proposed to model the problem of loading and unloading containers in small container terminal in Gliwice, Poland. It is assumed that containers are represented by blocks and reachstackers are represented by robot arms. STRIPS planning with complete information is usually hard problem, very often at least NP-complete (e.g. optimal planning in Block World environment is NP-complete). To reduce this complexity a heuristic for sub-goal ordering is introduced.