Blocksworld

GPTKB entity

Statements (64)
Predicate Object
gptkbp:instanceOf artificial intelligence planning domain
gptkbp:action stack
pick up
put down
unstack
gptkbp:describes a world of blocks on a table
gptkbp:hasProperty used for robotics
used for simulation
simple rules
combinatorial complexity
used for AI teaching
used for AI textbooks
used for PDDL
used for STRIPS planning
used for action modeling
used for algorithm evaluation
used for benchmarking
used for causal reasoning
used for challenge problems
used for classical planning
used for cognitive science
used for competitions
used for computer vision
used for constraint satisfaction
used for curriculum learning
used for educational purposes
used for explainable AI
used for goal-based planning
used for hierarchical planning
used for knowledge acquisition
used for knowledge representation
used for learning
used for learning from demonstration
used for multi-agent systems
used for natural language understanding
used for perception
used for plan recognition
used for planning
used for reasoning
used for reinforcement learning
used for research papers
used for search algorithms
used for state space analysis
used for symbolic AI
used for task decomposition
used for temporal planning
used for toy problems
used for transfer learning
https://www.w3.org/2000/01/rdf-schema#label Blocksworld
gptkbp:introducedIn 1970s
gptkbp:notableContributor gptkb:Nils_Nilsson
gptkb:Patrick_Winston
gptkb:Terry_Winograd
gptkb:Peter_Norvig
gptkb:Stuart_Russell
gptkb:Hector_Levesque
gptkbp:notablePlace gptkb:brick
table
gptkbp:usedIn gptkb:machine_learning
AI research
robotics
automated planning
gptkbp:bfsParent gptkb:Linden_Lab
gptkbp:bfsLayer 7