The Neurobiology of Aggression

2013 ◽  
pp. 1103-1111
Author(s):  
R. James ◽  
R. Blair
Keyword(s):  
Decision Making ◽  
Motor Behavior ◽  
Neural Systems ◽  
Emotional Modulation ◽  
Good Decision ◽  
Norm Violations ◽  
Instrumental Aggression ◽  
Increased Risk ◽  
The Individual ◽  
Selection Of

This chapter considers the neurobiology of aggression both the neural systems mediating this behavior as well as how these systems can become perturbed such that the aggression is maladaptive to the individual. A distinction will be drawn between planned, goal directed instrumental aggression and threat/ frustration based reactive aggression. Instrumental aggression implicates the neural systems involved in instrumental motor behavior generally as well as emotional learning and decision making systems that allow the selection of one action over another. Conditions decreasing the responsiveness of neural systems allowing good decision making (amygdala, striatum, ventromedial prefrontal cortex) are associated with an increased risk for maladaptive instrumental aggression. Reactive aggression implicates sub cortical systems involved in the basic response to threat as well as cortical systems involved in emotional modulation and the response to norm violations.

scholarly journals Sensitivity to gains during risky decision-making differentiates chronic cocaine users from stimulant-naïve controls

2019 ◽  
Author(s):  
B. Kluwe-Schiavon ◽  
A. Kexel ◽  
G. Manenti ◽  
D.M. Cole ◽  
M.R. Baumgartner ◽  
...  
Keyword(s):  
Decision Making ◽  
Neuropsychological Test ◽  
Risky Decision Making ◽  
Risky Decision ◽  
Cocaine Use ◽  
Risk Seeking ◽  
Chronic Cocaine ◽  
Increased Risk ◽  
Cocaine Users ◽  
The Individual

AbstractBackgroundAlthough chronic cocaine use has been frequently associated with decision-making impairments that are supposed to contribute to the development and maintenance of cocaine addiction, it has remained unclear how risk-seeking behaviours observed in chronic cocaine users (CU) come about. Here we therefore test whether risky decision-making observed in CU is driven by alterations in individual sensitivity to the available information (gain, loss, and risk).MethodA sample of 96 participants (56 CU and 40 controls) performed the no-feedback (“cold”) version of the Columbia Card Task. Structured psychiatric interviews and a comprehensive neuropsychological test battery were additionally conducted. Current and recent substance use was objectively assessed by toxicological urine and hair analysis.ResultsCompared to controls, CU showed increased risk-seeking in unfavourable decision scenarios in which the risk was high and the returns were low, and a tendency for increased risk aversion in favourable decision scenarios. These differences arose from the fact that CU were less sensitive to gain, but similarly sensitive to loss and risk information in comparison to controls. Further analysis revealed that individual differences in sensitivity to loss and risk were related to cognitive performance and impulsivity.ConclusionThe reduced sensitivity to gain information in people with CU may contribute to their propensity for making risky decisions. While these alterations in the sensitivity to gain might be directly related to cocaine use per se, the individual psychopathological profile of CU might moderate their sensitivity to risk and loss impulsivity.

Entrepreneurial Innovative Network and the Design of Socio-Economic Neural Systems

2020 ◽  
Vol 12 (4) ◽  
pp. 1-23
Author(s):  
Olga Tikhomirova
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Group Dynamics ◽  
Innovation System ◽  
The Other ◽  
Self Organization ◽  
Neural Systems ◽  
Collective Decision Making ◽  
The World ◽  
The Individual

This article aims to establish how an idea becomes an innovation and how creativity, collective dynamics, and information are interconnected. The results of the author's study showed that the emergence of innovations is closely connected with collective collaboration, and that it is impossible outside of group dynamics. The process of self-organization and collective decision-making is realized through a synergistic interaction, which then transforms into the so-called “information laser” and serves as a basis for the emergence of innovation. Both individuals, as persons and as separate entrepreneurs, are the elements of the innovation system and the actors of the artificial neural network, socio-economic neural systems (SENS-systems). These systems act through self-organization and corporate collaboration, and the efforts of each element are amplified through the interaction with the other elements. The model of the SENS-systems can explain how the individual idea transforms into innovation and spreads throughout the world.

scholarly journals Artificial Intelligence implemented to recognize patterns of sustainable areas by evaluating the database of socioenvironmental safety restrictions

2021 ◽  
Vol 10 (10) ◽  
pp. e212101018841
Author(s):  
Julio Leite Azancort Neto ◽  
Arleson Lui Silva Gonçalves ◽  
Brennus Caio Carvalho da Cruz ◽  
Larissa Luz Gomes ◽  
Denis Carlos Lima Costa
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Economic Effects ◽  
Individual Values ◽  
Modeling Process ◽  
New Methodologies ◽  
The Individual ◽  
Optimal Area ◽  
Decision Making Rule ◽  
Selection Of

The several papers recently published, applied to sustainable development, has been considering new methodologies and techniques in identifying the main criteria, in numeric format, that are useful in formulating possible solutions to the solid waste problem. This paper presents the Mathematical and Computational Modeling Process (PM2C), applied in the determination of control variables related to selection of areas destined to the construction of landfills, in order to benefit from new analyzes and values obtained by methods such as AHP (Analytical Hierarchy Process) and GIS (Geographic Information Systems). The main objective of this paper is the use of Artificial Intelligence (AI), through a Decision Tree strategy, as a selective method and optimal solutions in choosing the best area dedicated to the construction of landfills, with the creation and analysis of new values applied to scenarios defined in the paper of Andrade e Barbosa (2015). The results, expressed in analytical and graphical forms, show the individual values for each criterion and new scenarios involved in the phenomena. This paper highlights the importance of incorporating new conditions and criteria to propose a new decision-making rule, simultaneously, associating qualitative and quantitative characteristics, related to social and economic effects, applied to the environment management system. Based on these principles, it was possible to simulate new scenarios that demonstrate, with very high precision, the best values of useful criteria for decision-making in the selection of the optimal area for implementation of a landfill.

scholarly journals Penerapan Metode Promethee Dalam Sistem Pendukung Keputusan Penetapan Penerima Kartu Indonesia Sehat (KIS)

2021 ◽  
Vol 5 (2) ◽  
pp. 739
Author(s):  
Reva Octaviani Siregar ◽  
Deci Irmayani ◽  
Masrizal Masrizal
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Human Life ◽  
Well Being ◽  
Preference Ranking ◽  
Problem Analysis ◽  
Healthy Environment ◽  
Promethee Method ◽  
The Individual ◽  
Selection Of

Health is a state of well-being of body, soul and society that enables everyone to live productively socially and economically. Therefore, health is the most important element in human life. Health is closely related to economic conditions. factors that affect human health such as healthy food and drinks, a healthy environment and healthy living habits will be fulfilled. Conversely, if a bad economy will make it difficult for individual people to meet some of these factors, if these conditions are ignored, the individual community will find it difficult to improve their health. The problem that occurred at Galang Health Center was the unsatisfactory selection of KIS (Kartu Indonesia Sehat) participants. the selection of KIS (Kartu Indonesia Sehat) participants requires a decision support system (DSS) to speed up and make it easier to make decisions. Decision support systems are used to assist decision making in an organization to facilitate decision making. Where no one knows exactly how decisions should be made. The Promethee method (Preference Ranking Organizational Method for Enrichment Evaluation) is a method used to determine priority (order) in multi-criteria analysis. With the Promethee method, the problem of choosing KIS (Kartu Indonesia Sehat) participants is feasible to use in this study, the stages of research carried out in this study are starting from data collection, problem analysis, method analysis, design and testing of applications to be built, the purpose of this research is to solve the problems of the participants. KIS (Kartu Indonesia Sehat), which have been unsatisfied in terms of the decision of KIS (Kartu Indonesia Sehat) recipients. The results showed that of the three KIS (Kartu Indonesia Sehat) participants who were tested, there were two participants who deserved KIS (Kartu Indonesia Sehat) based on the results of the assessment of the five criteria used so that the calculation results using the Promethee method showed that the net flow from each of the alternatef is -1 for alternative 1 and 0.2 for alternative 2 and 0.8 for the third alternative.

scholarly journals (2019) Optimal Threshold for Selection of Candidates in Multi-Winner Elections

2019 ◽  
Author(s):  
John Lawrence
Keyword(s):  
Decision Making ◽  
Expected Utility ◽  
Optimal Threshold ◽  
The Political ◽  
Optimal Selection ◽  
Approval Voting ◽  
Economic Decision Making ◽  
Winning Set ◽  
The Individual ◽  
Selection Of

<p> We devise a method for political and economic decision making that's applicable to the optimal selection of multiple alternatives from a larger set of alternatives. This method could be used, for example, in the selection of a committee or a parliament. The method combines utilitarian voting with approval voting and sets an optimal threshold above which an individual voter's sincere ratings are turned into approval style votes. Those candidates above threshold are chosen in such a way as to maximize the individual's expected utility for the winning set. We generalize range/approval hybrid voting which deals with a single member outcome to the case of multiple outcomes. The political case easily generalizes to the economic case in which a commodity bundle is to be chosen by each individual from an available set which is first chosen from a larger set by the amalgamation of the individual choosers' inputs. As the set made available gets larger, the individual voter or chooser is more likely to gain greater utility or satisfaction because more of their above threshold candidates will be included in the winning set.</p> <p><br> </p>

The development of antisocial behavior: What can we learn from functional neuroimaging studies?

2008 ◽  
Vol 20 (4) ◽  
pp. 1145-1159 ◽  
Author(s):  
S. L. Crowe ◽  
R. J. R. Blair
Keyword(s):  
Frontal Cortex ◽  
Functional Neuroimaging ◽  
Reactive Aggression ◽  
Empirical Literature ◽  
Oppositional Defiant ◽  
Instrumental Aggression ◽  
Increased Risk ◽  
The Individual ◽  
Two Populations ◽  
Psychopathic Tendencies

AbstractThe recent development of low-risk imaging technologies, such as functional magnetic resonance imaging (fMRI), have had a significant impact on the investigation of psychopathologies in children and adolescents. This review considers what we can infer from fMRI work regarding the development of conduct disorder (CD) and oppositional defiant disorder (ODD). We make two central assumptions that are grounded in the empirical literature. First, the diagnoses of CD and ODD identify individuals with heterogeneous pathologies; that is, different developmental pathologies can receive a CDD or ODD diagnosis. This is indicated by the comorbidities associated with CD/ODD, some of which appear to be mutually exclusive at the biological level (e.g., posttraumatic stress disorder [PTSD] and psychopathic tendencies). Second, two populations of antisocial individuals can be identified: those that show an increased risk for only reactive aggression and those that show an increased risk for both reactive and instrumental aggression. We review the fMRI data indicating that particular comorbidities of CD/ODD (i.e., mood and anxiety conditions such as childhood bipolar disorder and PTSD) are associated with either increased responsiveness of neural regions implicated in the basic response to threat (e.g., the amygdala) or decreased responsiveness in regions of frontal cortex (e.g., ventromedial frontal cortex) that are implicated in the regulation of the basic threat response. We suggest why such pathology would increase the risk for reactive aggression and, in turn, lead to the association with a CD/ODD diagnosis. We also review the literature on psychopathic tendencies, a condition where the individual is at significantly elevated risk for both reactive and instrumental aggression. We show that in individuals with psychopathic tendencies, the functioning of the amygdala in stimulus-reinforcement learning and of the ventromedial frontal cortex in the representation of reinforcement expectancies is impaired. We suggest why such pathology would increase the risk for reactive and instrumental aggression and thus also lead to the association with a CD/ODD diagnosis.

scholarly journals (2019) Optimal Threshold for Selection of Candidates in Multi-Winner Elections

2019 ◽  
Author(s):  
John Lawrence
Keyword(s):  
Decision Making ◽  
Expected Utility ◽  
Optimal Threshold ◽  
The Political ◽  
Optimal Selection ◽  
Approval Voting ◽  
Economic Decision Making ◽  
Winning Set ◽  
The Individual ◽  
Selection Of

<p> We devise a method for political and economic decision making that's applicable to the optimal selection of multiple alternatives from a larger set of alternatives. This method could be used, for example, in the selection of a committee or a parliament. The method combines utilitarian voting with approval voting and sets an optimal threshold above which an individual voter's sincere ratings are turned into approval style votes. Those candidates above threshold are chosen in such a way as to maximize the individual's expected utility for the winning set. We generalize range/approval hybrid voting which deals with a single member outcome to the case of multiple outcomes. The political case easily generalizes to the economic case in which a commodity bundle is to be chosen by each individual from an available set which is first chosen from a larger set by the amalgamation of the individual choosers' inputs. As the set made available gets larger, the individual voter or chooser is more likely to gain greater utility or satisfaction because more of their above threshold candidates will be included in the winning set.</p> <p><br> </p>

scholarly journals METHODOLOGY OF AUTOMATED SELECTION OF FOOTWEAR IN THE TASKS OF SUPPORTING DECISION MAKING IN ORTHOPEDIC PROVIDING OF PATIENTS

2021 ◽  
Vol 2 (7(71)) ◽  
pp. 27-32
Author(s):  
E. Ermakova ◽  
S. Kiselev
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Mass Production ◽  
Anthropometric Parameters ◽  
Reported Study ◽  
The Individual ◽  
Selection Of ◽  
Made In

Nowadays, customization is becoming an increasingly applicable approach for the individualization of goods made in mass production. Another trend is the technology of virtual, or contactless, shoe fitting, aimed at selecting goods in accordance with the individual anthropometric parameters of customers' feet. The article is considered to the presentation of the results of scientific developments in the field of optimization of orthopedic providing of patients using customization approaches and conceptual solutions of contactless shoe fitting technologies. As part of the study, an algorithm of shoe selection and a method for assessment of matching the internal shape of the shoe to the patient’s feet measurements have been developed. The possibilities and conditions for the application of the results obtained in the tasks of supporting orthopedic specialists in the orthopedic providing of patients on the basis of data mining in the implementation of the automated remote selection of shoes and ordering for custom shoes are presented. The reported study was funded by RFBR, project number 19-37-90152.

Selection of Contractor Using Multi-Criteria Decision Making Tools

2011 ◽  
Vol 4 (4) ◽  
pp. 139-142
Author(s):  
S.PUSHPARANI S.PUSHPARANI ◽  
◽  
Dr.S.SENTHAMILKUMAR Dr.S.SENTHAMILKUMAR
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Selection Of
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