Decision making in crisis

2018 ◽  
Vol 8 (2-3) ◽  
pp. 95-124 ◽  
Author(s):  
Shelley D. Dionne ◽  
Janaki Gooty ◽  
Francis J. Yammarino ◽  
Hiroki Sayama

Despite recognition that emotions are present and salient during a crisis, traditional views of crisis decision making, such as crisis decision theory and naturalistic decision making, emphasize mainly the role of cognitive processes. Several recent crises illustrate individuals face complex, dynamic, and significant situations requiring decisions with which they are unfamiliar and/or lack experience. Moreover, dangerous and life-threatening situations activate negative emotions such as anger, regret, guilt, fear, disappointment, and shame, which may uniquely affect recursive associations with the immediate cognitive schema elicited after a crisis. Also consider individuals do not experience crises in a vacuum. Rather, they perceive, interpret, and assess information via interactions with others, thus creating collective crisis decision making as a substantive level of analysis. As such, we present a multilevel theoretical model examining the interactive role cognitions and emotions play in crisis decision making, and offer implications regarding individual and collective decisions during crises.

2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


2020 ◽  
Author(s):  
Arkady Zgonnikov ◽  
David Abbink ◽  
Gustav Markkula

Laboratory studies of abstract, highly controlled tasks point towards noisy evidence accumulation as a key mechanism governing decision making. Yet it is unclear whether the cognitive processes implicated in simple, isolated decisions in the lab are as paramount to decisions that are ingrained in more complex behaviors, such as driving. Here we aim to address the gap between modern cognitive models of decision making and studies of naturalistic decision making in drivers, which so far have provided only limited insight into the underlying cognitive processes. We investigate drivers' decision making during unprotected left turns, and model the cognitive process driving these decisions. Our model builds on the classical drift-diffusion model, and emphasizes, first, the drift rate linked to the relevant perceptual quantities dynamically sampled from the environment, and, second, collapsing decision boundaries reflecting the dynamic constraints imposed on the decision maker’s response by the environment. We show that the model explains the observed decision outcomes and response times, as well as substantial individual differences in those. Through cross-validation, we demonstrate that the model not only explains the data, but also generalizes to out-of-sample conditions, effectively providing a way to predict human drivers’ behavior in real time. Our results reveal the cognitive mechanisms of gap acceptance decisions in human drivers, and exemplify how simple cognitive process models can help us to understand human behavior in complex real-world tasks.


Author(s):  
Thomas Boraud

This chapter describes the neurobiological approach of decision-making. Until the late 1980s, ignoring the work of experimental economists and behaviourists, electrophysiologists restricted themselves to the study of sensory and motor function, believing it to be impossible for them to access cognitive processes. In 1989, William Newsome and Anthony Movshon broke the dogma while studying the role of neurons in the medio-temporal area of the cortex (an associative visual area) in the visual discrimination of macaques. They became the first researchers who were able to correlate decision-making with a pattern of electrophysiological activity in neurons. This correlation, which they called psychometric–neurometric pairing, became the backbone of all subsequent studies into the neurobiology of decision-making. The chapter then looks at the development of functional MRI, and presents a normative approach to decision-making and learning.


Author(s):  
Michelangelo Vercesi

This chapter deals with the internal decision-making process of political executives in parliamentary systems, that is, how executives take their own collective decisions. The focus is on the cabinet system as a whole, including both cabinet members and other involved party-political and bureaucratic actors. In particular, the chapter reviews literature’s debates about the nature of cabinet government, the role of prime ministers, and variations of decision-making. A special attention is payed to factors explaining intra-cabinet power distribution and the choice of different decision-making arenas. After introducing the topic, an overview of conceptual issues and main research questions is provided. Subsequently, the work discusses the way in which scholars have addressed these issues and the findings they have reached. The final part stresses existing deficits and seeks to set the agenda for future research.


2018 ◽  
Author(s):  
Ivan Grahek ◽  
Amitai Shenhav ◽  
Sebastian Musslick ◽  
Ruth M. Krebs ◽  
Ernst H.W. Koster

AbstractDepression is linked to deficits in cognitive control and a host of other cognitive impairments arise as a consequence of these deficits. Despite of their important role in depression, there are no mechanistic models of cognitive control deficits in depression. In this paper we propose how these deficits can emerge from the interaction between motivational and cognitive processes. We review depression-related impairments in key components of motivation along with new cognitive neuroscience models that focus on the role of motivation in the decision-making about cognitive control allocation. Based on this review we propose a unifying framework which connects motivational and cognitive control deficits in depression. This framework is rooted in computational models of cognitive control and offers a mechanistic understanding of cognitive control deficits in depression.


Author(s):  
Putri Annisa Aulia ◽  
Yuliandri Yuliandri ◽  
Azmi Fendri

In living a life, humans realize that they cannot live alone but need other people and try to connect with others; in relation to legal certainty. One of them is carried out by the role of Notary. The role of Notary which is important in helping to create certainty and legal protection for the community is by issuing authentic deeds made before him/ her that serve as perfect evidence. Through the duties and responsibilities of a Notary, it is reasonable that the Notary is also under supervision. The purpose of supervision carried out by the authorities to the Notaries is that in carrying out their duties, the Notaries do not violate their positions. By the existence of Law No. 30 of 2004 concerning Notary Position and its implementing regulations, it clearly stipulates the responsibilities and obligations of the Notary Supervisory Board. Thus, in carrying out their position, Notaries must be guided by existing regulations so that they can carry out their positions properly. The problems in this study are about how the examination process carried out by the Notary Supervisory Board against the Notary who violated the Law on Notary Position and how the decision-making process by the Regional Supervisory Board in conducting an examination to the Notary. This paper applies the juridical empirical method by reviewing primary and secondary data which are analyzed qualitatively. To strengthen the results of the study, interviews with relevant parties in the research setting were held. Based on the results of the study, it is concluded that in conducting an examination of their profession colleagues who are involved in a case, Notary must have a high sense of integrity in which they must first override friendships in conducting the examination. In the examination of the Supervisory Board, parties from Notary elements also sometimes disagree with two other elements; i.e. the Supervisory Board from the Government and Academics. To achieve collective and collegial decisions, the three elements must equalize their perceptions or views so that collective decisions are made since there is no voting in decision making. This is carried out to avoid the defense action for colleagues which is carried out by the Supervisory Board from the Notary element.


Author(s):  
Jack Knight ◽  
James Johnson

This concluding chapter assesses the ways in which this study's pragmatist account might answer the practical question about the acceptance of democratic politics. Unlike most normative arguments, this study's pragmatist account directly incorporates the inevitability of disagreement and conflict. In doing so, it provides an argument for the central role of ongoing political debate in establishing and maintaining the bases of legitimacy and obligation. And, through an analysis of the effects of democratic decision making on the collective outcomes that it produces, the study makes a case for the superiority of a democratic institutional framework as the forum for undertaking such debates. It argues that when there is persistent conflict and disagreement, making collective decisions democratically is the best means of creating an institutional environmental in which both individual and collective life plans can be effectively pursued.


2010 ◽  
Vol 278 (1714) ◽  
pp. 2018-2024 ◽  
Author(s):  
Ralf H. J. M. Kurvers ◽  
Vena M. A. P. Adamczyk ◽  
Sipke E. van Wieren ◽  
Herbert H. T. Prins

In group-living species, decisions made by individuals may result in collective behaviours. A central question in understanding collective behaviours is how individual variation in phenotype affects collective behaviours. However, how the personality of individuals affects collective decisions in groups remains poorly understood. Here, we investigated the role of boldness on the decision-making process in different-sized groups of barnacle geese. Naive barnacle geese, differing in boldness score, were introduced in a labyrinth in groups with either one or three informed demonstrators. The demonstrators possessed information about the route through the labyrinth. In pairs, the probability of choosing a route prior to the informed demonstrator increased with increasing boldness score: bolder individuals decided more often for themselves where to go compared with shyer individuals, whereas shyer individuals waited more often for the demonstrators to decide and followed this information. In groups of four individuals, however, there was no effect of boldness on decision-making, suggesting that individual differences were less important with increasing group size. Our experimental results show that personality is important in collective decisions in pairs of barnacle geese, and suggest that bolder individuals have a greater influence over the outcome of decisions in groups.


2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Sakinah S.J. Alhadad

Understanding human judgement and decision making during visual inspection of data is of both practical and theoretical interest. While visualizing data is a commonly employed mechanism to support complex cognitive processes such as inference, judgement, and decision making, the process of supporting and scaffolding cognition through effective design is less well understood. Applying insights from cognitive psychology and visualization science, this paper critically discusses the role of human factors — visual attention, perception, judgement, and decision making — toward informing methodological choices when visualizing data. The value of visualizing data is discussed in two key domains: 1) visualizing data as a means of communication; and 2) visualizing data as research methodology. The first applies cognitive science principles and research evidence to inform data visualization design for communication. The second applies data- and cognitive-science to deepen our understanding of data, of its uncertainty, and of analysis when making inferences. The evidence for human capacity limitations — attention and cognition — are discussed in the context of data visualizations to support inference-making in both domains, and are followed by recommendations. Finally, how learning analytics can further research on understanding the role data visualizations can play in supporting complex cognition is proposed.


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