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<bibitem type="B">   <ARLID>0436369</ARLID> <utime>20240103205212.3</utime><mtime>20150107235959.9</mtime>    <ISBN>978-3-319-15143-4</ISBN>          <title language="eng" primary="1">Decision Making: Uncertainty, Imperfection, Deliberation and Scalability</title>  <publisher> <place>Cham</place> <name>Springer</name> <pub_time>2014</pub_time> </publisher> <specification> <page_count>201 s.</page_count> <media_type>P</media_type> </specification> <edition> <name>Studies in Computational Intelligence</name> <volume_id>538</volume_id> </edition>    <keyword>decision making</keyword>   <keyword>imperfection</keyword>   <keyword>non-rationality</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101092</ARLID> <name1>Guy</name1> <name2>Tatiana Valentine</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept> <garant>K</garant>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101124</ARLID> <name1>Kárný</name1> <name2>Miroslav</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept> <garant>S</garant>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0287657</ARLID> <name1>Wolpert</name1> <name2>D. H.</name2> <country>US</country> <garant>S</garant>  </author>        <cas_special> <project> <project_id>GA13-13502S</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0292725</ARLID> </project>  <abstract language="eng" primary="1">This volume focuses on uncovering the fundamental forces underlying dynamic decision  making among multiple interacting, imperfect and selfish decision makers.  The chapters are written by leading experts from different disciplines, all considering  the many sources of imperfection in decision making, and always with an  eye to decreasing the myriad discrepancies between theory and real world human  decision making.  Topics addressed include uncertainty, deliberation cost and the complexity arising  from the inherent large computational scale of decision making in these systems.  In particular, analyses and experiments are presented which concern:    task allocation to maximize “the wisdom of the crowd”;    design of a society of “edutainment” robots who account for one anothers’ emotional  states;    recognizing and counteracting seemingly non-rational human decision making;    coping with extreme scale when learning causality in networks;    efficiently incorporating expert knowledge in personalized medicine;    the effects of personality on risky decision making.  The volume is a valuable source for researchers, graduate students and practitioners  in machine learning, stochastic control, robotics, and economics, among other fields.</abstract>    <reportyear>2015</reportyear>  <RIV>BB</RIV>      <num_of_auth>3</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0242040</permalink>   <confidential>S</confidential>       <arlyear>2014</arlyear>       <unknown tag="mrcbU10"> 2014 </unknown> <unknown tag="mrcbU10"> Cham Springer </unknown> <unknown tag="mrcbU12"> 978-3-319-15143-4 </unknown> </cas_special> </bibitem>