01889cam a2200361 i 450000100090000000300080000900500170001700700030003400800410003701000170007802000300009502000270012504000280015204100080018004200080018805000220019608200100021810000490022824500990027726400540037630000450043033600260047533700280050133800270052950400670055650504110062352002630103465000290129765000290132665000500135565000700140570000520147522105741BJBSDDR20260205115223.0ta210629s2022    maua     b    001 0 eng    a  2021031316  a9780262046794 (hardcover)  a0262046792 (hardcover)  aDLCbengerdacDLCdDLC  aeng  apcc14aQ 335bB796m 202200a006.31 aBrachman, Ronald J. q(Ronald Jay),  d1949-10aMachines like us : btoward AI with common sense /cRonald J. Brachman and Hector J. Levesque. 1aCambridge, Massachusetts :bThe MIT Press,c2022.  axii, 306 pages :billustrations ;c24 cm  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references (pages 249-295) and index.0 aThe Road to Common Sense -- Common Sense in Humans -- Expertise in AI Systems -- Knowledge and Its Representation -- A Commonsense Understanding of the World -- Commonsense Knowledge -- Representation and Reasoning, Part I -- Representation and Reasoning, Part II -- Common Sense in Action -- Steps toward Implementation -- Building Trust -- Epilogue -- Appendix -- Bonus Chapter: The Logic of Common Sense  a"The authors of Machines Like Us explore what it would take to endow computers with the kind of common sense that humans depend on every day--critically needed for AI systems to be successful in the world and to become trustworthy"-- cProvided by publisher. 0aArtificial intelligence. 4aInteligencia artificial  0aKnowledge representation (Information theory) 4aRepresentación del conocimiento (Teoría de la información) 1 aLevesque, Hector J. q(Hector Joseph), d1951-