The Generic/Actual Argument Model

2012 ◽  
pp. 87-116
Keyword(s):  
Decision Making ◽  
Formal Description ◽  
Computational System ◽  
Advantages And Disadvantages

In this chapter, we present a formal description of the Generic/Actual Argument Model (GAAM) and develop from this some of its characteristics, practical advantages, and disadvantages. The GAAM is intended as a model to support reasoning and decision making by individuals within a reasoning community. It can be used by individuals without inference support, by individuals with varying degrees of inference support, or as a fully computational system.

scholarly journals A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings

2021 ◽  
Vol 13 (2) ◽  
pp. 737
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Dalia Streimikiene ◽  
Tomas Balezentis ◽  
Virgilijus Skulskis
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Energy Demand ◽  
Energy Performance ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Insulation Materials ◽  
Advantages And Disadvantages ◽  
Selection Of

The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency. The choice of appropriate thermal insulation materials is one of the simplest and, at the same time, the most popular strategies that effectively reduce the energy demand of buildings. Today, the spectrum of insulation materials is quite wide, and each material has its own specific characteristics. It is recognized that the selection of materials is one of the most challenging and difficult steps of a building project. This paper aims to give an in-depth view of existing multi-criteria decision-making (MCDM) applications for the selection of insulation materials and to provide major insights in order to simplify the process of methods and criteria selection for future research. A systematic literature review is performed based on the Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In order to determine which MCDM method is the most appropriate for different questions, the main advantages and disadvantages of different methods are provided.

scholarly journals The Role of Consumer Autonomy in Developing Sustainable AI: A Conceptual Framework

2021 ◽  
Vol 13 (4) ◽  
pp. 2332
Author(s):  
Lena Bjørlo ◽  
Øystein Moen ◽  
Mark Pasquine
Keyword(s):  
Decision Making ◽  
Decision Aids ◽  
Privacy Regulation ◽  
Advantages And Disadvantages ◽  
Fundamental Significance ◽  
Research Gap ◽  
Online Decision Making ◽  
Definition Of ◽  
Consumer Autonomy

Artificial intelligence (AI)-based decision aids are increasingly employed by businesses to assist consumers’ decision-making. Personalized content based on consumers’ data brings benefits for both consumers and businesses, i.e., with regards to more relevant content. However, this practice simultaneously enables increased possibilities for exerting hidden interference and manipulation on consumers, reducing consumer autonomy. We argue that due to this, consumer autonomy represents a resource at the risk of depletion and requiring protection, due to its fundamental significance for a democratic society. By balancing advantages and disadvantages of increased influence by AI, this paper addresses an important research gap and explores the essential challenges related to the use of AI for consumers’ decision-making and autonomy, grounded in extant literature. We offer a constructive, rather than optimistic or pessimistic, outlook on AI. Hereunder, we present propositions suggesting how these problems may be alleviated, and how consumer autonomy may be protected. These propositions constitute the fundament for a framework regarding the development of sustainable AI, in the context of online decision-making. We argue that notions of transparency, complementarity, and privacy regulation are vital for increasing consumer autonomy and promoting sustainable AI. Lastly, the paper offers a definition of sustainable AI within the contextual boundaries of online decision-making. Altogether, we position this paper as a contribution to the discussion of development towards a more socially sustainable and ethical use of AI.

EMPLOYMENT IN SCIENCE: GENDER CONTEXT

2021 ◽  
pp. 218-230
Author(s):  
Irina O. Shevchenko ◽  
Keyword(s):  
Decision Making ◽  
Labor Market ◽  
Well Being ◽  
Scientific Field ◽  
Formal Description ◽  
Average Salary ◽  
Men And Women ◽  
The Social ◽  
Gender Asymmetry ◽  
Women Researchers

The article considers the position of men and women researchers in the labor market in the precarization context. It is revealed that from the viewpoint of formal signs of the work precarity, researchers are in a safe situation. Most of them work under an indefinite contract, having a set of social guarantees secured by the Labor Code, and rarely change jobs. But the social well-being of scientists indicates that the formal description of the situation is at odds with reality. Gender context of science is the following: there are fewer women than men among researchers; there are more men among those holding the academic degrees of doctors, so men occupy positions more preferable in terms of status than women; the average salary of male scientists is higher than the female; men have more opportunities to influence decision-making in their organization. Gender asymmetry in the scientific field persists in Russia.

Developing an Algorithm for the Application of Bayesian Method to Software Using Artificial Immune Systems

2021 ◽  
Author(s):  
Shafagat Mahmudova
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Bayesian Method ◽  
Artificial Immune Systems ◽  
Artificial Immune ◽  
Computational System ◽  
Malicious Software ◽  
Immune Systems ◽  
Advantages And Disadvantages ◽  
Protection Systems

Abstract This study provides information on artificial immune systems. The artificial immune system is an adaptive computational system that uses models, principles, mechanisms and functions to describe and solve the problems in theoretical immunology. Its application in various fields of science is explored. The theory of natural immune systems and the key features and algorithms of artificial immune system are analyzed. The advantages and disadvantages of protection systems based on artificial immune systems are shown. The methods for malicious software detection are studied. Some works in the field of artificial immune systems are analyzed, and the problems to be solved are identified. A new algorithm is developed for the application of Bayesian method in software using artificial immune systems, and experiments are implemented. The results of the experiment are estimated to be good. The advantages and disadvantages of AIS were shown. To eliminate the disadvantages, perfect AISs should be developed to enable the software more efficient and effective.

scholarly journals Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1164 ◽  
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Edmundas Kazimieras Zavadskas ◽  
Dalia Streimikiene
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Scientific Literature ◽  
Renewable Energy Sources ◽  
Multiple Criteria Decision Making ◽  
Energy Sources ◽  
Renewable Energy Technologies ◽  
Advantages And Disadvantages ◽  
Energy Technologies ◽  
Depth Analysis

Different power generation technologies have different advantages and disadvantages. However, if compared to traditional energy sources, renewable energy sources provide a possibility to solve the climate change and economic decarbonization issues that are so relevant today. Therefore, the analysis and evaluation of renewable energy technologies has been receiving increasing attention in the politics of different countries and the scientific literature. The household sector consumes almost one third of all energy produced, thus studies on the evaluation of renewable energy production technologies in households are very important. This article reviews the scientific literature that have used multiple-criteria decision-making (MCDM) methods as a key tool to evaluate renewable energy technologies in households. The findings of the conducted research are categorized according to the objectives pursued and the criteria on which the evaluation was based are discussed. The article also provides an overview and in-depth analysis of MCDM methods and distinguishes the main advantages and disadvantages of using them to evaluate technologies in households.

scholarly journals Exchange rate regime choice

2006 ◽  
Vol 53 (3) ◽  
pp. 313-334 ◽  
Author(s):  
Emilija Beker
Keyword(s):  
Decision Making ◽  
Exchange Rate ◽  
Shelf Life ◽  
Exchange Rate Regime ◽  
Flexible Exchange Rate ◽  
Point Of View ◽  
External Factors ◽  
Advantages And Disadvantages ◽  
Complex Process ◽  
Highly Sensitive

The choice of an adequate exchange rate regime proves to be a highly sensitive field within which the economic authorities present and confirm themselves. The advantages and disadvantages of fixed and flexible exchange rate regimes, which have been quite relativized from the conventional point of view, together with simultaneous, but not synchronized effects of structural and external factors, remain permanently questioned throughout a complex process of exchange rate regime decision making. The paper reflects the attempt of critical identification of the key exchange rate performances with emphasis on continuous non-uniformity and (un)certainty of shelf life of a relevant choice.

scholarly journals Research on the Application of Mobile Internet Information Products of New Agricultural Business Entities

2021 ◽  
Vol 235 ◽  
pp. 03049
Author(s):  
Tongyang Wei ◽  
Yong Yang
Keyword(s):  
Decision Making ◽  
Information Age ◽  
Mobile Internet ◽  
Mobile Terminals ◽  
Advantages And Disadvantages ◽  
New Business ◽  
Internet Information ◽  
Information Products ◽  
Agricultural Business ◽  
Business Entities

Facing the current information age, this study aims to probe into the application of internet products of mobile terminals in the new agricultural business entities, and to analyze the advantages and disadvantages of the application. Based on this, the research group conducted an in-depth research on the new agricultural business entities in eight provinces and cities nationwide to understand the application of information products in the new agricultural business entities, in order to provide important reference and innovative ideas for the agricultural management departments and decision-making departments to carry out the work of training, fostering, guiding and serving new business entities.

scholarly journals Emotional State Recognition from Peripheral Physiological Signals Using Fused Nonlinear Features and Team-Collaboration Identification Strategy

Entropy ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 511 ◽  
Author(s):  
Lizheng Pan ◽  
Zeming Yin ◽  
Shigang She ◽  
Aiguo Song
Keyword(s):  
Decision Making ◽  
Emotion Recognition ◽  
Physiological Signals ◽  
Support Vector ◽  
Emotional States ◽  
Multiple Perspectives ◽  
Team Collaboration ◽  
Advantages And Disadvantages ◽  
Nonlinear Features ◽  
Identification Strategy

Emotion recognition realizing human inner perception has a very important application prospect in human-computer interaction. In order to improve the accuracy of emotion recognition, a novel method combining fused nonlinear features and team-collaboration identification strategy was proposed for emotion recognition using physiological signals. Four nonlinear features, namely approximate entropy (ApEn), sample entropy (SaEn), fuzzy entropy (FuEn) and wavelet packet entropy (WpEn) are employed to reflect emotional states deeply with each type of physiological signal. Then the features of different physiological signals are fused to represent the emotional states from multiple perspectives. Each classifier has its own advantages and disadvantages. In order to make full use of the advantages of other classifiers and avoid the limitation of single classifier, the team-collaboration model is built and the team-collaboration decision-making mechanism is designed according to the proposed team-collaboration identification strategy which is based on the fusion of support vector machine (SVM), decision tree (DT) and extreme learning machine (ELM). Through analysis, SVM is selected as the main classifier with DT and ELM as auxiliary classifiers. According to the designed decision-making mechanism, the proposed team-collaboration identification strategy can effectively employ different classification methods to make decision based on the characteristics of the samples through SVM classification. For samples which are easy to be identified by SVM, SVM directly determines the identification results, whereas SVM-DT-ELM collaboratively determines the identification results, which can effectively utilize the characteristics of each classifier and improve the classification accuracy. The effectiveness and universality of the proposed method are verified by Augsburg database and database for emotion analysis using physiological (DEAP) signals. The experimental results uniformly indicated that the proposed method combining fused nonlinear features and team-collaboration identification strategy presents better performance than the existing methods.

Physician judgment in clinical settings: methodological influences and cognitive performance

1993 ◽  
Vol 39 (7) ◽  
pp. 1468-1480 ◽  
Author(s):  
N V Dawson
Keyword(s):  
Decision Making ◽  
Cognitive Biases ◽  
Critical Evaluation ◽  
Medical Decision ◽  
Accurate Estimation ◽  
Advantages And Disadvantages ◽  
Cognitive Limitations ◽  
Intuitive Judgments ◽  
Analytical Approaches

Abstract Understanding the quality of physicians' intuitive judgments is essential in determining the appropriate use of their judgments in medical decision-making (vis-a-vis analytical or actuarial approaches). As part of this process, the quality of physicians' predictions must be assessed because prediction is fundamental to common clinical tasks: determining diagnosis, prognosis, and therapy; establishing monitoring intervals; performing screening and preventive maneuvers. Critical evaluation of predictive capabilities requires an assessment of the components of the prediction process: the data available for prediction, the method used for prediction, and the accuracy of prediction. Although variation in and uncertainty about the underlying data elements are often acknowledged as a source of inaccurate predictions, prediction also can be confounded by both methodological and cognitive limitations. During the past two decades, numerous factors have been recognized that may bias test characteristics (sensitivity and specificity). These same factors may also produce bias in intuitive judgments. The use of cognitive processes to simplify judgment tasks (e.g., the availability and representativeness heuristics) and the presence of certain biases in the judgment process (e.g., ego, regret) may present obstacles to accurate estimation of probabilities by physicians. Limitations on the intuitive use of information (cognitive biases) have been demonstrated in both medical and nonmedical decision-making settings. Recent studies have led to a deepening understanding of the advantages and disadvantages of intuitive and analytical approaches to decision making. Here, many aspects of the basis for this understanding are reviewed.

scholarly journals Management Support Model for Information Technology Outsourcing

2020 ◽  
Vol 28 (3) ◽  
pp. 123-147
Author(s):  
Leonardo Ensslin ◽  
Clarissa Carneiro Mussi ◽  
Ademar Dutra ◽  
Sandra Rolim Ensslin ◽  
Sandro Natalino Demetrio
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Multicriteria Decision Aid ◽  
Management Support ◽  
Advantages And Disadvantages ◽  
Conflicting Objectives ◽  
The Status ◽  
Multiple Variables ◽  
Information Technology Outsourcing ◽  
The Impact

This study deals with the problem of outsourcing management, presenting a structure to support decision-making on effective information-technology outsourcing and highlighting the advantages and disadvantages that must be addressed. Since the study involves multiple variables, partially defined and conflicting objectives, and the will of decision-makers to broaden their understanding of the impact of decisions, the study used the multicriteria decision aid constructivist method to lead data collection and analysis. The chief results presented are: (i) a structured appraisal arranged by 8 strategic objectives and 107 performance indicators; (ii) the strengths and weaknesses of the status quo; and (iii) a process diagram for generating improvements. To ensure presentation of scientific and practical recognition in accordance with the constructivist path, the epistemological view adopted meets the scientific and practical requirements to ensure validity, legitimacy, and effectiveness of a model to support a decision-making process in a practical environment.

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