LEADER 04368nam 2200577 450 001 9910137211403321 005 20230621141326.0 010 $a9782889192700 (ebook) 035 $a(CKB)3710000000520122 035 $a(SSID)ssj0001680178 035 $a(PQKBManifestationID)16496002 035 $a(PQKBTitleCode)TC0001680178 035 $a(PQKBWorkID)15028361 035 $a(PQKB)10466655 035 $a(WaSeSS)IndRDA00057382 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/45581 035 $a(EXLCZ)993710000000520122 100 $a20160829d2014 uy | 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDynamics of decision making$b[electronic resource] $efrom evidence to preference and belief /$ftopic editors Marius Usher, Konstantinos Tsetsos, Erica Yu and David A. Lagnado 210 $cFrontiers Media SA$d2014 210 31$aFrance :$cFrontiers Media SA,$d2014 215 $a1 online resource (259 pages) $cillustrations, charts 225 0 $aFrontiers Research Topics,$x1664-8714 300 $aBibliographic Level Mode of Issuance: Monograph 320 $aIncludes bibliographical references. 330 $aAt the core of the many debates throughout cognitive science concerning how decisions are made are the processes governing the time course of preference formation and decision. From perceptual choices, such as whether the signal on a radar screen indicates an enemy missile or a spot on a CT scan indicates a tumor, to cognitive value-based decisions, such as selecting an agreeable flatmate or deciding the guilt of a defendant, significant and everyday decisions are dynamic over time. Phenomena such as decoy effects, preference reversals and order effects are still puzzling researchers. For example, in a legal context, jurors receive discrete pieces of evidence in sequence, and must integrate these pieces together to reach a singular verdict. From a standard Bayesian viewpoint the order in which people receive the evidence should not influence their final decision, and yet order effects seem a robust empirical phenomena in many decision contexts. Current research on how decisions unfold, especially in a dynamic environment, is advancing our theoretical understanding of decision making. This Research Topic aims to review and further explore the time course of a decision - from how prior beliefs are formed to how those beliefs are used and updated over time, towards the formation of preferences and choices and post-decision processes and effects. Research literatures encompassing varied approaches to the time-scale of decisions will be brought into scope: a) Speeded decisions (and post-decision processes) that require the accumulation of noisy and possibly non-stationary perceptual evidence (e.g., randomly moving dots stimuli), within a few seconds, with or without temporal uncertainty. b) Temporally-extended, value-based decisions that integrate feedback values (e.g., gambling machines) and internally-generated decision criteria (e.g., when one switches attention, selectively, between the various aspects of several choice alternatives). c) Temporally extended, belief-based decisions that build on the integration of evidence, which interacts with the decision maker's belief system, towards the updating of the beliefs and the formation of judgments and preferences (as in the legal context). Research that emphasizes theoretical concerns (including optimality analysis) and mechanisms underlying the decision process, both neural and cognitive, is presented, as well as research that combines experimental and computational levels of analysis. 606 $aManagement Theory$2HILCC 606 $aManagement$2HILCC 606 $aBusiness & Economics$2HILCC 610 $aDecision Making 610 $aBelief 610 $adata-generating process 610 $aEvidence Accumulation 610 $aProblem Solving 615 7$aManagement Theory 615 7$aManagement 615 7$aBusiness & Economics 700 $aMarius Usher$4auth$01366720 702 $aTsetsos$b Konstantinos 702 $aYu$b Erica 702 $aUsher$b Marius 801 0$bPQKB 801 2$bUkMaJRU 912 $a9910137211403321 996 $aDynamics of decision making$93389326 997 $aUNINA