The Locator -- [(subject = "Human-computer interaction--Fiction")]

46 records matched your query       


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02834aam a2200601 i 4500
001 5322FF6E2AA711E9A696796597128E48
003 SILO
005 20190207010156
008 181102r20192017nyu           000 1 eng  
010    $a 2018052848
020    $a 1250214718
020    $a 9781250214713
040    $a DLC $b eng $e rda $c DLC $d GCmBT $d NjBwBT $d SILO
042    $a pcc
050 00 $a PS3573.E4932 $b A79 2019
082 00 $a 813/.54 $2 23
100 1  $a Wells, Martha $e author.
245 10 $a All systems red / $c Martha Wells.
250    $a First hardcover edition.
264  1 $a New York : $b Tor, $c 2019.
300    $a 171 pages ; $c 21 cm.
490 1  $a Murderbot diaries ; $v 1
500    $a "A Tom Doherty Associates book."
500    $a "A Tor.com book"--Title page verso.
520    $a In a corporate-dominated spacefaring future, planetary missions must be approved and supplied by the Company. Exploratory teams are accompanied by Company-supplied security androids, for their own safety. But in a society where contracts are awarded to the lowest bidder, safety isnt a primary concern. On a distant planet, a team of scientists are conducting surface tests, shadowed by their Company-supplied droid a self-aware SecUnit that has hacked its own governor module, and refers to itself (though never out loud) as Murderbot. Scornful of humans, all it really wants is to be left alone long enough to figure out who it is. But when a neighboring mission goes dark, it's up to the scientists and their Murderbot to get to the truth.
650  0 $a Artificial Intelligence $v Fiction
655  7 $a Life On Other Planets $2 gsafd $x Fiction
650    $a Interplanetary Voyages $x Fiction
650    $a Androids $x Fiction
650    $a Robots $x Fiction
650    $a Human-Computer Interaction $x Fiction
650    $a Science fiction
775 08 $i Reproduction of (manifestation): $a Wells, Martha. $t All systems red $d New York : Tom Doherty Associates, 2017 $w (DLC)  2017486594
800 1  $a Wells, Martha. $t Murderbot diaries.
941    $a 17
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956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=5322FF6E2AA711E9A696796597128E48

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