Rational Definition Research Articles

A method of classifying IoT devices based on attack sensitivity

The emergence of IoT has introduced new security concerns, particularly the detection of large-scale network attacks initiated by compromised IoT devices. The diverse nature of IoT devices adds complexity to attack detection, necessitating the classification of devices based on their unique characteristics and behavior patterns. This paper presents a novel device classification method grounded in traffic differentials before and after IoT devices succumb to compromise. The study defines the concept of attack sensitivity and designs a method for calculating the value. The K-means algorithm is used to classify devices into predefined categories based on their attack sensitivity values. The effectiveness of this method is demonstrated through experiments on a public dataset. Additionally, a multi-class classification model is developed to identify newly added devices to the IoT environment, with good results in accuracy, precision, recall, F1 score, and FPR (0.999, 0.997–1,0.997–1,0.998–1,0–0.001). Overall, The device classification method proposed in this paper, based on attack sensitivity, not only enables a rational definition of device categories but also ensures precise classification for devices newly integrated into the IoT environment. This lays the foundation for achieving more precise attack detection and protection, advancing the field towards enhanced cybersecurity measures.

Contours of Thinking in Heidegger: A Dionysian Science


 
 
 Heidegger’s thinking should not be labelled rationalist or irrationalist. Because the definitions of rationality and irrationality, which can be seen as derived from Descartes’ or Cartesian philosophy, are deconstructed by Heidegger. The movement of this deconstruction is twofold: at the same time it is a thinking retrieval of the ontologico-historical origin of (Western) thought. The retrieval results in Heidegger’s notion of temporalising Being. This ‘notion’ can also be seen as informed by Nietzsche’s ‘will to power’ and, in turn, to inform its understanding or interpretation itself.
 
 

ALGEBRA OF SOCIAL PHENOMENA

The characteristics of modern societies are central to discussions of various types of policy (social, economic, etc.) and are often seen as predictors of socio-economic processes. Any society can be studied through the lens of social phenomena. Hence, it seems fair to assume that the better one understands the nature of social matter and its impact on various processes, the better one's decisions will be able to meet today's challenges. The purpose of this paper is to explain and present the new framework for measuring social phenomena in the form of an algebra based on the definition of social phenomenon, its components, rationality and mathematical logic. Methodology. Using the example of social cohesion, the paper examines the current fundamental methodological approaches to interpreting the definition and, consequently, measuring social phenomena. In this paper, the authors use an analogy with probability space and event algebra to develop their mathematical method. As a result, the article presents and explains the basic terms of the algebra of social phenomena that make up the new concept. Practical implications. The authors' approach to formalisation provides a tool for deriving the measure of a complex phenomenon from the measures of its components (simple phenomena), as demonstrated in the example. Thus, this study enriches the range of methods suitable for deepening one's knowledge of the social characteristics of the society under study. Value/Originality. The concept of algebra as a methodology for measuring social phenomena and establishing dependencies between them on the basis of mathematical logic has not yet been the subject of public discussion. Therefore, this publication is also an invitation to a scientific discussion.

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The paper discusses a possible way of justifying the existence of a multiplicity of cryptomorphic axiomatic theories. It is argued that what renders this multiplicity inevitable are the applications of the theory. They give rise to difficulties whose solution necessitates the application of different conceptual tools. The paper is organized as follows: (§1) introduces the concept of cryptomorphism and the canonic example for the phenomenon: matroid theory; (§2) discusses five cryptomorphic approaches to the definition of rationality in the framework of decision theory: through utility functions, weak orders, choice operators, layered permutations, and pop-stack sortability; (§3) shows that each of these different approaches can serve as a basis for the introduction of a different modification of the original theory. This establishes the heuristic value of cryptomorphic approaches in the domain of decision theory.

Development of passivating edge shingle modules with right cut, new loss evaluation and liquid-based edge passivation strategy

Shingle interconnected cells and high-performance silicon solar cells are the main technologies applied for the development of next-generation Photovoltaic (PV). Nonetheless, the assembly process of high-efficiency shingle configuration modules faces several problems. Such challenges encompass the processes of complete silicon cell separation, the proper assessment of the losses during cell separation, and the post-passivation treatment of newly formed edges in the shingle module. We conducted this study to address the aforementioned issues. I) Our findings revealed that the cutting during high-efficiency cell separation should be performed on the back surface field (BSF) side; II) Furthermore, we quantified the slice cutting loss by introducing a rational definition of the cell separation factor K and utilizing the Suns-VOC method; III) Additionally, we developed efficient shingle mini-modules and passivated the sub-cell edge of the modules. These measures resulted in a considerable increase in the output power of the PV module while effectively reducing cell-to-module (CTM) losses. Based on the concept of the “Liquid-based Edge Passivation Strategy (LEPS)”- developed in this work, using a four-sub-cell configuration shingle mini-module, we finally achieved the following increased parameter efficiency: +0.32% of abs, +15.1 mV of open circuit voltage, +0.76% of fill factor, and +7.8 mW of power gain. The results obtained in this research culminated in advancing the methods employed in assembling next-generation high-efficiency PV modules and striking maximum power output PV modules. Moreover, our present findings serve as a technical reference and open up new avenues for the potential photovoltaic industry transformation and upgrading.

DQfD-AIPT: An Intelligent Penetration Testing Framework Incorporating Expert Demonstration Data

The application of reinforcement learning (RL) methods of artificial intelligence for penetration testing (PT) provides a solution to the current problems of high labour costs and high reliance on expert knowledge for manual PT. In order to improve the efficiency of RL algorithms for PT, existing research has considered bringing in the knowledge of PT experts and combining it with the use of imitative learning methods to guide the agent in its decision-making. However, the disadvantage of using imitation learning is also obvious; that is, the performance of the strategies learned by the agent hardly exceeds the demonstrated behaviour of the expert and it can also cause expert knowledge overfitting. At the same time, the expert knowledge in the currently proposed method is poorly interpretable and highly scenario-dependent. The expert knowledge used in these methods is not universal. To address these issues, we propose an intelligent PT framework named DQfD-AIPT. The framework encompasses the process of collecting and using expert knowledge and provides a rational definition of the structure of expert knowledge. To solve the overfitting problem, we perform PT path planning based on the deep Q-learning from demonstrations (DQfD) algorithm. DQfD combines the benefits of RL and imitation learning to effectively improve the PT strategy and performance of agents while avoiding overfitting. Finally, we conducted experiments in a simulated network scenario containing honeypots. The experimental results proved the effectiveness of expert knowledge incorporation. In addition, the DQfD algorithm can improve the efficiency of penetration testing more effectively than that by the classical deep reinforcement learning (DRL) method and can obtain a higher cumulative reward. Not only that, due to the incorporation of expert knowledge, in scenarios with honeypots, the DQfD method can effectively reduce the probability of interacting with honeypots compared to the classical DRL method.

Strategic Thinking for Bold Goals

Strategic Thinking for Bold Goals

Validation and improvement of a punching test to ensure excavatability of cement-based materials used as pavement subbase

Cement-based materials, regularly used in urban road base layers, must be sufficiently resistant to traffic but above all, easily excavated, even with a pick, to allow easy access to the underlying networks during maintenance operations. Unfortunately, bibliography shows that there is no satisfactory method for determining the ease of excavation. This paper presents the results of a large campaign in which manual excavations and Charpy tests carried out on scale 1 trenches were analyzed with an original laboratory punching test. It proposes a rational definition of an excavation difficulty scale by linking the feeling of workers and excavated volume per pick impact. The latter can be calculated from punching test thanks a classic soil failure model. A complete methodology to determine at the laboratory stage the excavation difficulty with a pick is finally proposed, opening the way of rational optimization of excavation ease, while keeping the bearing capacity constant..

Examining the Causes of Irrational Food Buying and Delaying Gratification as a Solution

Impulsive food buying resulting in waisted items and emotional regrets is regarded as biased buying behaviours through irrational decision making. Extensive previous research has brought forward projection bias, associative memory and episodic foresight, emotions and impulsivity, affective forecasting, and physical arousal as some of the contributors to the tendency to pursue immediate rewards of thrill and satiation over delayed and long-term fulfillment. The present study focuses on the causes of this phenomenon from the psychological perspective, identifying various internal and environmental factors and their relevance based on evidence of past research. It closely compares the Rational Choice Theory with actual shopping behaviours and challenges a fixed definition of objectivity and rationality in decision making. It then attempts to make connections between the cognitive causes of irrational decision making and immediate gratification, suggesting that postponing gratification may help with making more rational decisions when browsing for foods.

A rational definition for functional foods: A perspective.

Many foods are described as “functional foods”. However, the term is poorly defined. A commonly used definition is that they contain substances that have positive effects on health “beyond basic nutrition”. However, there are several problems with this definition. In many cases, healthy foods are included under the term functional foods. A new definition is proposed as follows. Functional foods are novel foods that have been formulated so that they contain substances or live microorganisms that have a possible health-enhancing or disease-preventing value, and at a concentration that is both safe and sufficiently high to achieve the intended benefit. The added ingredients may include nutrients, dietary fiber, phytochemicals, other substances, or probiotics.

A fuzzy Einstein-based decision support system for public transportation management at times of pandemic

Optimal decision-making has become increasingly more difficult due to their inherent complexity exacerbated by uncertain and rapidly changing environmental conditions in which they are defined. Hence, with the aim of improving the uncertainty management and facilitating the weighting criteria, this paper introduces an improved fuzzy Einstein Combined Compromise Solution (CoCoSo) methodology. Such a CoCoSo model improves previous CoCoSo proposals by using nonlinear fuzzy weighted Einstein functions for defining weighted sequences. In addition, it proposes a novel algorithm for determining the criteria weights based on the fuzzy logarithmic function, therefore it allows decision-makers a better perception of the relationship between the criteria, as it considers the relationships between adjacent criteria; high consistency of expert comparisons; and enables the definition of weighting coefficients of a larger set of criteria, without the need to cluster (group) the criteria. Nonlinear fuzzy Einstein functions implemented in the fuzzy Einstein CoCoSo methodology enable the processing of complex and uncertain information. Such characteristics contribute to the rational definition of compromise strategies and enable objective reasoning when solving real-world decision problems. The efficiency, effectiveness, and robustness of the proposed fuzzy Einstein CoCoSo model are illustrated by a case study to create a conceptual framework to evaluate and rank the prioritization of public transportation management at the time of the COVID-19 pandemic. The results reveal its good performance in determining the transportation management systems strategy.

DIGITAL EDUCATIONAL ENVIRONMENT PRINCIPAL PRINCIPLES OF CREATION

As in any process, the digitization of the education system requires a thorough theoretical and methodological justification. Among the methodological foundations of creating a digital learning environment, principles also take precedence. Consequently, the principles determine the organizational and methodological correctness of the activity, the rational definition of directions, the relationship between the goal and the result. The article discusses the description of the priority principles of creating a digital learning environment.

One small step toward ungendered rationality: A plea for HRD researchers and practitioners

Masculine rationality pervades organizations and organizational theory but remains largely unexplored and or studied by human resource development (HRD) researchers and practitioners. This essay defines rational masculinity and summarizes its origins and effects on women in the workplace. Current literature supports the need for increased recognition of masculine rationality within HRD but lacks concrete suggestions for how to make progress toward identifying and changing the definition of rationality within organizations to a more holistic, inclusive organizational framework. In this essay, I provide concrete suggestions that HRD and organizational leadership can implement to begin a change toward a more balanced rationality.

Recurrent implantation failure: a plea for a widely adopted rational definition

Most proposed definitions of recurrent implantation failure (RIF) are based on clinical judgement, probably affected by patients' demands. They are not based on robust statistical considerations. As a result, a diagnosis of RIF is commonly made too early, exposing couples to the risk of overdiagnosis and overtreatment. However, the situation is changing, and three statistical approaches have recently been proposed. The first is a probability model based on the chances of success per cycle and suggests for the definition three failed oocyte retrieval cycles with all embryos being transferred in women younger than 40 years of age. The second approach suggests an individualized diagnosis that takes into consideration multiple factors, while the third is also based on individualization but mainly relies on anticipated euploidy rates across the female age range. All these approaches have their pros and cons. Regardless of the specific peculiarities, they represent steps in the right direction, with the intent of providing a statistically sound definition. However, these attempts will not be useful unless endorsed by the scientific community in general. There is a pressing need for a rigorous and shared definition of RIF that will be widely accepted by researchers, scientific societies and other stakeholders, including patients.

Characterization of a second-best rationalizable choice function with full domain

The idea of equating the concept of ‘rationality’ with that of the ‘choice of best elements’ unnecessarily limits the sense and scope of ‘rationality’. The existing internal consistency conditions that are popularly used in the social choice theory to assess a choice function are insufficient to analyze several non-standard choice patterns. This paper makes a modest effort to address this limitation. The paper accepts a broader definition of rationality and characterizes choice behaviors where an individual chooses a second best element when available and chooses a best element only when a second best is not available.

Material Science for catalysis: Quo vadis?

Material Science for catalysis: Quo vadis?

Systematization and mathematical modeling of classification features of forest rakes

With proper maintenance of many territories a technological operation of collecting and raking up chopped residues of undesirable tree and shrub vegetation is often performed. At the same time, despite the variety of mechanization tools used, their classification is currently difficult. The purpose of the research was to develop a classification of technical means for collecting and raking chopped residues with the justification of their name and rational definition. Based on the analysis of more than 500 models the authors of the research recommended to designate the considered technical means as “Forest Rake” and a corresponding definition has been formulated. The authors of the carried out the classification of forest rakes, a system of equations has been developed that describes the position of the boundaries of the characteristic zones of the distribution of the working width of the forest rake, the boundary values of a number of parameters are shown, the criteria for the density of the teeth and the specific width of the rake are proposed, the values of these criteria are given. The results of the work can be used by manufacturing enterprises engaged in the maintenance and operation of transport infrastructure facilities.

Assessing the Informational Content of Official Australian Bureau of Meteorology Forecasts of Wind Speed*

Understanding forecast revisions is critical for weather forecast users to determine the optimal timing for their planning decisions. A set of multi‐horizon forecasts for wind speed produced by the Australian Bureau of Meteorology for 12 weather stations in eastern Australia are examined. The forecasts are examined in terms of the econometric definition of rationality and, as a robustness check, the economic value of the forecasts is also assessed using a cost–loss model. It is demonstrated that while the forecasts exhibit some of the characteristics of rational forecasts, when official testing is introduced forecast rationality is rejected at all the weather stations considered. Furthermore, the behaviour of the forecasts is shown to be very erratic over the course of the day and over forecast horizons. Although there is some evidence that the official forecasts can provide positive economic value, this metric also indicates that there is substantial room for improvement.

Hindsight and Sequential Rationality of Correlated Play

Driven by recent successes in two-player, zero-sum game solving and playing, artificial intelligence work on games has increasingly focused on algorithms that produce equilibrium-based strategies. However, this approach has been less effective at producing competent players in general-sum games or those with more than two players than in two-player, zero-sum games. An appealing alternative is to consider adaptive algorithms that ensure strong performance in hindsight relative to what could have been achieved with modified behavior. This approach also leads to a game-theoretic analysis, but in the correlated play that arises from joint learning dynamics rather than factored agent behavior at equilibrium. We develop and advocate for this hindsight rationality framing of learning in general sequential decision-making settings. To this end, we re-examine mediated equilibrium and deviation types in extensive-form games, thereby gaining a more complete understanding and resolving past misconceptions. We present a set of examples illustrating the distinct strengths and weaknesses of each type of equilibrium in the literature, and prove that no tractable concept subsumes all others. This line of inquiry culminates in the definition of the deviation and equilibrium classes that correspond to algorithms in the counterfactual regret minimization (CFR) family, relating them to all others in the literature. Examining CFR in greater detail further leads to a new recursive definition of rationality in correlated play that extends sequential rationality in a way that naturally applies to hindsight evaluation.

Austrian behavioral economics

Abstract This paper explores the potential for gains from trade between Austrian and behavioral economics, with a focus on how the two schools of thoughts can constructively critique each other. Among other things, the Austrian critique of behavioral economics would urge it to jettison its restrictive and axiomatic definition of rationality, and to treat humans as active agents rather than passive recipients of environmental and cognitive influences. Meanwhile, the behavioral critique of Austrian economics would push it to take more seriously the fundamental question of how individuals arrive at choices and to analyze how such choices can interact with ‘micro-institutional’ choice environments.