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Toy problems were invented with the aim to program an AI which can solve it. The blocks world domain is an example for a toy problem. Its major advantage over more realistic AI applications is, that many algorithms and software programs are available which can handle the situation. [2] This allows to compare different theories against each other.
Action Blocks: These blocks can perform a respective action, such as motors, tank treads, wheels, hinges, and rockets. Actions : These can be used inside a block's action panel. When playing a world, they tell blocks to perform actions such as speaking, exploding, disappearing and reappearing, sparkling, etc. Controls such as a joystick and ...
Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node in the case of a graph) and explores as far as possible along each branch before backtracking.
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Identifying new macro operators for a domain can be realized with genetic programming. [4] The idea is, not to plan the domain itself, but in the pre-step, a heuristics is created that allows the domain to be solved much faster. In the context of reinforcement learning, a macro-operator is called an option. Similar to the definition within AI ...
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Pool [4] 2010 1 per TB of storage Coda: C GPL C Yes Yes Replication Volume [5] 1987 GlusterFS: C GPLv3 libglusterfs, FUSE, NFS, SMB, Swift, libgfapi mirror Yes Reed-Solomon [6] Volume [7] 2005 HDFS: Java Apache License 2.0 Java and C client, HTTP, FUSE [8] transparent master failover No Reed-Solomon [9] File [10] 2005 IPFS: Go Apache 2.0 or MIT