Počet záznamů: 1  

Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

  1. 1.
    SYSNO ASEP0436369
    Druh ASEPB - Monografie
    Zařazení RIVZáznam nebyl označen do RIV
    NázevDecision Making: Uncertainty, Imperfection, Deliberation and Scalability
    Tvůrce(i) Guy, Tatiana Valentine (UTIA-B ed.) RID, ORCID
    Kárný, Miroslav (UTIA-B ed.) RID, ORCID
    Wolpert, D. H. (ed. US)
    Celkový počet autorů3
    Vyd. údajeCham: Springer, 2014
    ISBN978-3-319-15143-4
    EdiceStudies in Computational Intelligence
    Č. sv. edice538
    Poč.str.201 s.
    Forma vydáníTištěná - P
    Jazyk dok.eng - angličtina
    Země vyd.CH - Švýcarsko
    Klíč. slovadecision making ; imperfection ; non-rationality
    Vědní obor RIVBB - Aplikovaná statistika, operační výzkum
    CEPGA13-13502S GA ČR - Grantová agentura ČR
    Institucionální podporaUTIA-B - RVO:67985556
    AnotaceThis 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.
    PracovištěÚstav teorie informace a automatizace
    KontaktMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Rok sběru2015
Počet záznamů: 1  

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