Overwhelming Remembrance of Things Past: Proust Portrays Limbic Kindling by External Stimulus—Literary Genius Can Presage Neurobiological Patterns of Puzzling Behavior

1993 ◽  
Vol 73 (2) ◽  
pp. 615-621 ◽  
Author(s):  
Anneliese A. Pontius
Keyword(s):  
Decision Making ◽  
Frontal Lobe ◽  
Limbic System ◽  
External Stimulus ◽  
Autonomic Activation ◽  
Human Decision ◽  
Normal Human ◽  
Past Experiences ◽  
And Control ◽  
External Stimuli

Proust detailed inexplicable behavior long before the neurobiologists Goddard and McIntyre in 1972 demonstrated that intermittent repetition of harmless stimuli can cause “kindling” of a seizure (with or without motor convulsions). Such brief seizures can occur especially in the evolutionarily old limbic system which mediates basic drives, their concomitant emotions, and certain aspects of memory. It appears that in humans the influence of specific external stimuli that revive the memory of repeated past experiences may “kindle” a transient episode of limbic overactivation. Thereupon the normal balance between the limbic and frontal lobe systems is disturbed (for a few minutes) as are normal human decision making and control of action. Linked with such a transient frontolimbic imbalance is out-of-character behavior, psychosis (hallucinations or delusions), autonomic activation, and severe distortion of affect and of action, culminating in extreme cases in a “Limbic Psychotic Trigger Reaction,” as proposed by Pontius in 1981, in motiveless homicidal acts with mostly preserved consciousness and memory for the acts.

scholarly journals Reasoning, Learning, and Creativity: Frontal Lobe Function and Human Decision-Making

PLoS Biology ◽  
2012 ◽  
Vol 10 (3) ◽  
pp. e1001293 ◽  
Author(s):  
Anne Collins ◽  
Etienne Koechlin
Keyword(s):  
Decision Making ◽  
Frontal Lobe ◽  
Frontal Lobe Function ◽  
Human Decision

Executive Dashboard as a mediating technology of organization

2019 ◽  
pp. 224-237
Author(s):  
Armin Beverungen
Keyword(s):  
Decision Making ◽  
Technical System ◽  
Computational System ◽  
Executive Manager ◽  
Human Decision ◽  
Computation Management ◽  
And Control ◽  
Computational Processes

This chapter interrogates the executive dashboard as a contemporary example of the deployment of computation in management. Conceptualizing the dashboard as an interface, it explores how it reconfigures human–machine relations and their respective intelligences. The dashboard separates the executive manager and the computational system, as much as it augments both in their capacities for decision and control. Human decision making emerges as a residuality and an exception to computational processes, while decision making is also distributed within and delegated to the technical system. The dashboarding of human–machine intelligences produces a smartness characterizing contemporary computation, management, and organization.

Stress and Cognitive Performance in Trainee Pilots

1989 ◽  
Vol 33 (14) ◽  
pp. 883-887 ◽  
Author(s):  
Alan F. Stokes ◽  
Mireille Raby
Keyword(s):  
Decision Making ◽  
Cognitive Skills ◽  
Cognitive Strategies ◽  
Microcomputer System ◽  
Information Processing Model ◽  
Knowledge Domain ◽  
Cognitive Components ◽  
Human Decision ◽  
Related Stress ◽  
And Control

The study reported here is part of a continuing program of research into pilot decision-making based on an information processing model of human decision-making under task-related stress. This model posits, inter alia, that experts and novices in a knowledge domain adopt different cognitive strategies in solving decision problems, and that these strategies are differentially affected by stress. The present experiment examined the effect of task-related stress upon aviation-relevant cognitive skills in trainee instrument pilots using SPARTANS, an automated test battery. The battery was administered under stress and control conditions, providing data on the effects of the stress manipulation upon putative cognitive components of decision-making independent of the criterion task - simulated flight using the MIDIS microcomputer system. The results provide evidence of stress related decrements in working memory, flexibility of closure, and spatial processes, but not in the retrieval of declarative knowledge. These results are discussed in the light of the model's predictions and previous empirical results using MIDIS.

scholarly journals The Influence of Cognitive Biases in Production Planning and Control: Considering the Human Factor for the Design of Decision Support Systems

2021 ◽  
Author(s):  
Julia Bendul ◽  
Melanie Zahner
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Production Planning ◽  
Cognitive Biases ◽  
Production Planning And Control ◽  
Due Date ◽  
Planning And Control ◽  
Human Decision ◽  
And Control ◽  
The Impact

Production planning and control (PPC) requires human decision-making in several process steps like production program planning, production data management, and performance measurement. Thereby, human decisions are often biased leading to an aggravation of logistic performance. Exemplary, the lead time syndrome (LTS) shows this connection. While production planners aim to improve due date reliability by updating planned lead times, the result is actually a decreasing due date reliability. In current research in the field of production logistics, the impact of cognitive biases on the decision-making process in production planning and control remains at a silent place. We aim to close this research gap by combining a systematic literature review on behavioral operation management and cognitive biases with a case study from the steel industry to show the influence of cognitive biases on human decision-making in production planning and the impact on logistic performance. The result is the definition of guidelines considering human behavior for the design of decision support systems to improve logistic performance.

scholarly journals Cognitive Science as a Source of Forward and Inverse Models of Human Decisions for Robotics and Control

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Mark K. Ho ◽  
Thomas L. Griffiths
Keyword(s):  
Decision Making ◽  
Cognitive Science ◽  
Autonomous Systems ◽  
Annual Review ◽  
Publication Date ◽  
Statistical Machine Learning ◽  
Inverse Models ◽  
Control Research ◽  
Human Decision ◽  
And Control

Those designing autonomous systems that interact with humans will invariably face questions about how humans think and make decisions. Fortunately, computational cognitive science offers insight into human decision-making using tools that will be familiar to those with backgrounds in optimization and control (e.g., probability theory, statistical machine learning, and reinforcement learning). Here, we review some of this work, focusing on how cognitive science can provide forward models of human decision-making and inverse models of how humans think about others’ decision-making. We highlight relevant recent developments, including approaches that synthesize black box and theory-driven modeling, accounts that recast heuristics and biases as forms of bounded optimality, and models that characterize human theory of mind and communication in decision-theoretic terms. In doing so, we aim to provide readers with a glimpse of the range of frameworks, methodologies, and actionable insights that lie at the intersection of cognitive science and control research. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 5 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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