01580nam a2200337 i 450000100060000000300090000600500170001500800410003201000170007302000460009002000260013604000380016204200080020005000250020808200140023310000380024724500810028524600560036626000640042230000460048649000720053250000290060450400670063350503930070052600080109365000290110165000200113065000220115070000300117285200400120234334BD-DhAAL20211110165510.0190321t2019    flua     b    001 0 eng    a  2018015049  a9781138593732 (hardback : acidfree paper)  z9780429489105 (ebook)  aDLCbengerdacDLCdDLCdBD-DhAAL  apcc00aTJ211.35b.C645 201900a006.32231 aCollendanchise, Michele,eauthor.10aBehavior trees in robotics and Al /cMichele Collendanchise, Petter Ögren.34aBehavior trees in robotics and Al : an introduction  aBoca Raton, FL :bCRC Press, Taylor & Francis Group,cc2019  axiv, 192 pages :billustrations ;c25 cm.0 aChapman & Hall/CRC artificial intelligence and robotics series ;v6  a"A Chapman & Hall book."  aIncludes bibliographical references (pages 183-189) and index.  a	1. What are Behavior Trees? 2. How Behavior Trees Generalize and Relate to Earlier Ideas3. Design principles 4. Extensions of Behavior Trees 5. Analysis of Efficiency, Safety, and Robustness6. Formal Analysis of How Behavior Trees Generalize Earlier Ideas 7. Behavior Trees and Automated Planning 8. Behavior Trees and Machine Learning 9. Stochastic Behavior Trees 10. Concluding Remarks  aCSE 0aRobotsxControl systems. 0aDecision trees. 0aComputer science.1 aÖgren, Petter,eauthor.  aAyesha Abed LibrarycGeneral Stacks