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  2. Blocks world - Wikipedia

    en.wikipedia.org/wiki/Blocks_world

    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.

  3. SHRDLU - Wikipedia

    en.wikipedia.org/wiki/SHRDLU

    SHRDLU is an early natural-language understanding computer program that was developed by Terry Winograd at MIT in 1968–1970. In the program, the user carries on a conversation with the computer, moving objects, naming collections and querying the state of a simplified "blocks world", essentially a virtual box filled with different blocks.

  4. Terry Winograd - Wikipedia

    en.wikipedia.org/wiki/Terry_Winograd

    In making the program Winograd was concerned with the problem of providing a computer with sufficient "understanding" to be able to use natural language. Winograd built a blocks world, restricting the program's intellectual world to a simulated "world of toy blocks". The program could accept commands such as, "Find a block which is taller than ...

  5. Comparison of distributed file systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_distributed...

    Some researchers have made a functional and experimental analysis of several distributed file systems including HDFS, Ceph, Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time).

  6. Talk:Blocks world - Wikipedia

    en.wikipedia.org/wiki/Talk:Blocks_world

    is an np-hard search and planning problem [3] is a cube domain, basic version consists of cubes in the same size moved by a mechanical arm [3] if it's seen as a PDDL planning problem it's called Blocks World domain [4] literature: [1] Slaney, John, and Sylvie Thiébaux. "Blocks world revisited." Artificial Intelligence 125.1-2 (2001): 119-153.

  7. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    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.

  8. Harvey Fierstein Lost 120 lbs. on Zepbound: 'Being Fat Is Not ...

    www.aol.com/harvey-fierstein-lost-120-lbs...

    After gaining weight during the Covid-19 pandemic, Harvey Fierstein says that he’s now lost 120 lbs., — all thanks to weight-loss medication. In typically irreverent Fierstein fashion, the ...

  9. Observer pattern - Wikipedia

    en.wikipedia.org/wiki/Observer_pattern

    A sample UML class and sequence diagram for the observer design pattern. [6] In this UML class diagram, the Subject class does not update the state of dependent objects directly. Instead, Subject refers to the Observer interface (update()) for updating state, which makes the Subject independent of how the state of dependent objects is updated.