This article focuses on the problem of criminal liability for unlawful engagement in economic activities, analyses the emergence and development of this norm in criminal law and the ways of its optimal explanation. Special attention is paid to the problem of identification of illegality of activities, based on specific tax and economic regulation. The study concludes that criminal liability must be limited to a violation of fundamental requirements for the legality of business, and does not include particular abuses occurring in (...) legal business. The author also deals with the criteria of delimitation of criminal and administrative liability for unlawful engagement in economic activities. Under Article 202(1) of the Criminal Code of the Republic of Lithuania, application of criminal liability is limited by two alternative conditions: either a person illegally undertakes activity in entrepreneurial way or on a large scale. According to the paper, the above-mentioned regulation lacks clarity and leads to the risk of unfounded prosecutions. The author gives practical examples, where on the basis of inexplicable criterion of an entrepreneurial way, criminal charges are filed in respect of petty economic activities. Such practice is incompatible with the purposes and principles of criminal law. The paper proposes to delete the criterion of an entrepreneurial way from the definition, leaving the possibility of criminal liability only in case of large scale illegal economic activity. The article also substantiates the conclusion that prohibited business activities provided for in Article 202(2) of the Criminal Code actually defies logical explanation and should be removed from the regulation. At the end of the article, the author offers a sample of optimal legal wording of unlawful engagement in economic activities in criminal law. (shrink)

According to the axiomatic foundations of social choice theory, not all decisions benefit everyone. Often, decisions that do not have any implied benefit for the decision maker are made in the (best) interests of others. When a decision is made concerning welfare of others, some individuals—including the decision maker, may be on the receiving end. For, it is impossible to make social decisions by taking into account individual preferences that satisfy all and everyone. This is on account of a great (...) variety in individual choices and preferences ubiquitous among different individuals. Tastes vary among different people—so does individual preferences, and that’s natural. Conflict of interests arises due to subtle variances in individual preferences. In this paper, we discuss about the decision choice that seldom works for every conceivable set of individual preferences. Following Arrovian precepts, it is impossible to satisfy one and all, for there remains a great diversity in individual preferences that result in the problem of choice. Hence, in this research, we develop a taste-based theory of social choice that attempts to address the problem of choice by helping individuals choose the best and the most effective and optimal option among a given set of alternatives that’s assumed to be rational. (shrink)

In his pioneering work on Abstract Argumentation, P.M. Dung set a wide scenario by connecting stable models in Logic and Game Theory to simple Abstract Argumentation Frameworks ( AAF), which are essentially directed graphs in which arguments are represented as nodes, and the attack relation is represented by arrows. From such abstraction and simplicity, it is possible to capture important properties in many different fields. The Stable Marriage ( SM) problem is exactly one of such representable problems. Given two sets (...) of individuals partitioned into men and women, a matching is stable when there does not exist any man-woman match by which both man and woman would be individually better off than they are with the person to which they are currently matched. Stable matchings correspond to stable extensions if an AAF is correctly generated from the given SM problem. In this paper we elaborate on the original formulation by Dung, by also encoding SM problems with ties and incomplete preference lists into AAFs. Moreover, we use Weighted Abstract Argumentation to represent optimality criteria in the optimal extension of SM problems, where some matchings are better than others: criteria may consider only the preference of either men, or women, or a more global view obtained by combining the preferences of both. (shrink)

In his pioneering work on Abstract Argumentation, P.M. Dung set a wide scenario by connecting stable models in Logic and Game Theory to simple Abstract Argumentation Frameworks ( AAF), which are essentially directed graphs in which arguments are represented as nodes, and the attack relation is represented by arrows. From such abstraction and simplicity, it is possible to capture important properties in many different fields. The Stable Marriage ( SM) problem is exactly one of such representable problems. Given two sets (...) of individuals partitioned into men and women, a matching is stable when there does not exist any man-woman match by which both man and woman would be individually better off than they are with the person to which they are currently matched. Stable matchings correspond to stable extensions if an AAF is correctly generated from the given SM problem. In this paper we elaborate on the original formulation by Dung, by also encoding SM problems with ties and incomplete preference lists into AAFs. Moreover, we use Weighted Abstract Argumentation to represent optimality criteria in the optimal extension of SM problems, where some matchings are better than others: criteria may consider only the preference of either men, or women, or a more global view obtained by combining the preferences of both. (shrink)

In this paper, we derive necessary and sufficient conditions on team based tasks in order for a selection criterion applied to individuals to produce optimal teams. We assume only that individuals have types and that a team’s performance depends on its size and the type composition of its members. We first derive the selection principle which states that if a selection criterion exists, it must rank types by homogeneous team performance, the performance of a team consisting only of that type. (...) We then prove that a selection criterion exists if and only if replacing the team’s lowest ranked type, as measured by homogeneous team performance, with a higher ranked type increases team performance. Finally, we show that the replace the lowest ranked property rules out most common types of team complementarities, including benefits to diverse types and types that fill structural holes. (shrink)

This research implements a recent evolutionary-based algorithm of equilibrium optimizer to resolve the constrained combined economic emission dispatch problem. This problem has two objective functions that represent the minimizing of generation costs and minimizing the emission of environmental pollution caused by generators. The proposed algorithm integrates the dominant criteria for multiobjective functions that allow the decision-maker to detect all the Pareto boundaries of constrained combined economic emission dispatch problem. In order to save the effort for the decision-maker to select (...) the best compromise alternative, a cluster study was carried out to minimize the size of the Pareto boundary to an acceptable size, representing all the characteristics of the main Pareto frontier. On the other hand, in order to deal with the infringement of constraints, a repair algorithm was used to preserve the viability of the particles. The proposed algorithm is applied to solve the standard 30-bus IEEE system with 6 generators to validate its robustness and efficiency to produce a well-distributed Pareto frontier for constrained combined economic emission dispatch problem. Compared with other studies, good results in solving constrained combined economic emission dispatch problem are obtained and a reasonable reduced Pareto set is found. (shrink)

Although we welcome Gigerenzer, Todd, and the ABC Research Group's shift of emphasis from “coherence” to “correspondence” criteria, their rejection of optimality in human decision making is premature: In many situations, experts can achieve near-optimal performance. Moreover, this competence does not require implausible computing power. The models Gigerenzer et al. evaluate fail to account for many of the most robust properties of human decision making, including examples of optimality.

In Rawls’ influential social contract approach to distributive justice, the fair income distribution is the one that an individual would choose behind a veil of ignorance. Harsanyi treated this situation as a decision under risk and arrived at utilitarianism using expected utility theory. This paper investigates the implications of applying cumulative prospect theory instead, which better describes behavior under risk. I find that the specific type of inequality in bottom-heavy right-skewed income distributions, which includes the log-normal income distribution, could be (...) perceived as desirable. This optimal inequality result contrasts the implications of other social welfare criteria. (shrink)

Predictive algorithms are playing an increasingly prominent role in society, being used to predict recidivism, loan repayment, job performance, and so on. With this increasing influence has come an increasing concern with the ways in which they might be unfair or biased against individuals in virtue of their race, gender, or, more generally, their group membership. Many purported criteria of algorithmic fairness concern statistical relationships between the algorithm’s predictions and the actual outcomes, for instance requiring that the rate of (...) false positives be equal across the relevant groups. We might seek to ensure that algorithms satisfy all of these purported fairness criteria. But a series of impossibility results shows that this is impossible, unless base rates are equal across the relevant groups. What are we to make of these pessimistic results? I argue that none of the purported criteria, except for a calibration criterion, are necessary conditions for fairness, on the grounds that they can all be simultaneously violated by a manifestly fair and uniquely optimal predictive algorithm, even when base rates are equal. I conclude with some general reflections on algorithmic fairness. (shrink)

In cloud security, intrusion detection system (IDS) is one of the challenging research areas. In a cloud environment, security incidents such as denial of service, scanning, malware code injection, virus, worm, and password cracking are getting usual. These attacks surely affect the company and may develop a financial loss if not distinguished in time. Therefore, securing the cloud from these types of attack is very much needed. To discover the problem, this paper suggests a novel IDS established on a combination (...) of a leader-based k-means clustering (LKM), optimal fuzzy logic system. Here, at first, the input dataset is grouped into clusters with the use of LKM. Then, cluster data are afforded to the fuzzy logic system (FLS). Here, normal and abnormal data are inquired by the FLS, while FLS training is done by the grey wolf optimization algorithm through maximizing the rules. The clouds simulator and NSL-Knowledge Discovery and DataBase (KDD) Cup 99 dataset are applied to inquire about the suggested method. Precision, recall, and F-measure are conceived as evaluation criteria. The obtained results have denoted the superiority of the suggested method in comparison with other methods. (shrink)

During public health crises including the COVID-19 pandemic, resource scarcity and contagion risks may require health systems to shift—to some degree—from a usual clinical ethic, focused on the well-being of individual patients, to a public health ethic, focused on population health. Many triage policies exist that fall under the legal protections afforded by “crisis standards of care,” but they have key differences. We critically appraise one of the most fundamental differences among policies, namely the use of criteria to categorically (...) exclude certain patients from eligibility for otherwise standard medical services. We examine these categorical exclusion criteria from ethical, legal, disability, and implementation perspectives. Focusing our analysis on the most common type of exclusion criteria, which are disease-specific, we conclude that optimal policies for critical care resource allocation and the use of cardiopulmonary resuscitation (CPR) should not use categorical exclusions. We argue that the avoidance of categorical exclusions is often practically feasible, consistent with public health norms, and mitigates discrimination against persons with disabilities. (shrink)

Strategic Environmental Assessment, as a support to strategic planning, is a starting point in the creation of a sustainable concept of managing waste that is based on the principles of a circular economy. The role of SEA is to guide the planning process towards the goal of securing the best effects in relation to the quality of the living environment and the socio-economic aspects of development. SEA is also an instrument that can be used when making optimal decisions about spatial (...) development, which further contributes to its importance and role in the planning process. The implementation of SEA allows developers to establish the benefits and implications of the proposed spatial changes, taking into account the capacity of the space to sustain the planned development, and to determine the degree of acceptability of the proposed spatial changes. This paper presents a specific method used for impact assessment in SEA for the Agro-Waste Management Plan for Oplenac Vineyard. The specificity of this method is that it combines specific goals, indicators and criteria for assessing the effect of planning solutions formulated in the simulated AWMP for Oplenac Vineyard using a semi-quantitative expert method. The results of the paper indicate the possibility of using GIS tools to increase objectivity in the expert evaluation of planning solutions, particularly in relation to a group of criteria for assessing the spatial dispersion of the impacts. This reduces the subjectivity that is characteristic of all expert methods. The graphical presentation of the results in GIS technology and the use of matrices and graphs to present the results makes them easier to understand and creates a good basis for making optimal decisions on future activities concerning the elimination of waste from wineries and viticulture. The research was carried out within the framework of the NoAW project, which is supported by the European Commission through the Horizon2020 research and innovation program. (shrink)

Human beings are a marvel of evolved complexity. When we try to enhance poorly-understood complex evolved systems, our interventions often fail or backfire. It can appear as if there is a “wisdom of nature” which we ignore at our peril. A recognition of this reality can manifest as a vaguely normative intuition, to the effect that it is “hubristic” to try to improve on nature, or that biomedical therapy is ok while enhancement is morally suspect. We suggest that one root (...) of these moral intuitions may be fundamentally prudential rather than ethical. More importantly, we develop a practical heuristic, the “evolutionary optimality challenge”, for evaluating the plausibility that specific candidate biomedical interventions would be safe and effective. This heuristic recognizes the grain of truth contained in “nature knows best” attitudes while providing criteria for identifying the special cases where it may be feasible, with present or near-future technology, to enhance human nature. (shrink)

Over the past three decades, the discourse on the mechanistic approach to scientific modelling and explanation has notably sidestepped the topic of simplicity and fit within the process of model selection. This paper aims to rectify this disconnect by delving into the topic of simplicity and fit within the context of mechanistic explanations. More precisely, our primary objective is to address whether simplicity metrics hold any significance within mechanistic explanations. If they do, then our inquiry extends to the suitability of (...) the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), and related criteria in determining the optimal balance of fit and simplicity of mechanistic models. As our main claims, we argue that mechanistic models inherently lend themselves to considerations of simplicity, and that the AIC and BIC and related criteria are applicable to some submodels of certain kinds of mechanistic models. However, these criteria and related criteria designed for curve fitting and causal modelling are of little help for a comparative assessment of full mechanistic models, and a fundamentally different approach is needed to make determinations of this kind. (shrink)

This paper shows that, if the performance of the economy is independent of the identities of individuals, then many welfare criteria yield sets of optimal social states that are equal to the Pareto optimal set. This result is proved for income distributions and extended to more general social choice problems. If the independence condition holds, then the set of optimal states is invariant to the adoption of an anonymity axiom, and to the utility information available.

This paper attempts to identify behavioral patterns and compare their average success considering several criteria of bounded rationality. Experimentally observed choice behavior in various decision tasks is used to assess heterogeneity in how individual participants respond to 15 randomly ordered portfolio choices, each of which is experienced twice. Treatments differ in granting probability information and in eliciting aspirations. Since in our setting neither other regarding concerns nor risk attitude matter and probability of the binary chance move is choice irrelevant, (...) categorizing decision types relies on parameter dependence and choice adaptations. We find that most participants reduce systematically sub-optimality when following the identified criteria. (shrink)

In the setting of transplant medicine, decision making needs to take into account the multiple clinical and psychosocial case variables, rather than turn to arbitrary rules that cannot be scientifically supportedThe yearly demand for liver transplants far exceeds the supply of available organs .1 Additionally, alcoholic cirrhosis has been a controversial indication for transplant as these recipients can be viewed as having caused their own illness—an illness that is preventable by abstaining from alcohol . While not categorically denying liver transplantation (...) to those with alcoholic cirrhosis, many hospitals have incorporated a six month alcohol abstinence criterion 2 in an effort to select optimal candidates. The six month rule has two purposes; namely, allowing the liver a chance to recover in the absence of alcohol , and also observation of the patient to verify that he/she remains alcohol free, with the hope of reducing the risk of relapse. Everhart et al,3 determined that 85% of US liver transplant programmes and 43% of third party payers require a defined period of abstinence—for example, three or six months—as part of the waiting list process.Liver transplantation does not cure alcoholism, as evidenced by the fact that roughly 20% of these patients use alcohol following transplant, with one third exhibiting “repetitive or heavy drinking”.4 Arguments abound as to the scientific merit of a six month abstinence criterion in reducing the risk of alcohol relapse following transplant. Some propose that a minimum of six months abstinence itself predicts a lower relapse rate,5 while others argue that six months is not predictive or that other factors—for example, illicit drug use—in combination with a minimum number of months abstinent is predictive.6,7 Even the United …. (shrink)

Collaborative learning has recently achieved very significant results. It still suffers, however, from several issues, including the type of information that needs to be exchanged, the criteria for stopping and how to choose the right collaborators. We aim in this paper to improve the quality of the collaboration and to resolve these issues via a novel approach inspired by Optimal Transport theory. More specifically, the objective function for the exchange of information is based on the Wasserstein distance, with a (...) bidirectional transport of information between collaborators. This formulation allows to learns a stopping criterion and provide a criterion to choose the best collaborators. Extensive experiments are conducted on multiple data-sets to evaluate the proposed approach. (shrink)

This article challenges the general thesis that an unconditional basic income, set at the highest sustainable level, is required for maximizing the income-leisure opportunities of the least advantaged, when income varies according to the responsible factor of labor input. In a linear optimal taxation model (of a type suggested by Vandenbroucke 2001) in which opportunities depend only on individual productivity, adding the instrument of a uniform wage subsidy generates an array of undominated policies besides the basic income maximizing policy, including (...) a “zero basic income” policy which equalizes the post-tax wage rate. The choice among such undominated policies may be guided by distinct normative criteria which supplement the maximin objective in various ways. It is shown that most of these criteria will be compatible with, or actually select, the zero basic income policy and reject the basic income maximizing one. In view of the model's limited realism, the force of this main conclusion is discussed both in relation to Van Parijs' argument for basic income in Real Freedom for All (1995) and to some key empirical conditions in the real world. Footnotes1 I am grateful for useful comments on various stages of this paper by Marc Fleurbaey, Susan Hurley, Mathias Hild, Dirk Van de gaer, Frank Vandenbroucke, Alex Voorhoeve, Roland van der Veen, Andrew Williams, Chris Woodard and an anonymous referee. Above all I thank Loek Groot for his contribution. The research has also been supported by the Netherlands Organization for Scientific Research (NWO), and the Social and Political Theory Program of the Research School of Social Sciences, Australian National University. (shrink)

A new approach to environmental policy analysis is introduced that is designed to mitigate the exacerbation of environmental problems, which can result from the application of traditional approaches in environmental decision making. These approaches are problematic because they tend to rely on technical fixes, a single-discipline focus, and optimality. When such traditional approaches are applied, complex environmental problems are simplified beyond recognition, and the solution produced no longer matches the original problem. An alternative approach has been developed at the (...) U.S. Environmental Protection Agency (EPA) that is designed to improve the utilization of scientific research results and data (social, physical, and biological) through a more inclusive problem-solving process aimed particularly at difficult and complex environmental issues. Using a policy application pertaining to the EPA’s 1995 decision to approve a fuel additive, the authors illustrate how integrated environmental policy decision analysis can be made operational using this new approach. (shrink)

A new three-parameter extension of the generalized-exponential distribution, which has various hazard rates that can be increasing, decreasing, bathtub, or inverted tub, known as the Marshall-Olkin generalized-exponential distribution has been considered. So, this article addresses the problem of estimating the unknown parameters and survival characteristics of the three-parameter MOGE lifetime distribution when the sample is obtained from progressive type-II censoring via maximum likelihood and Bayesian approaches. Making use of the s-normality of classical estimators, two types of approximate confidence intervals are (...) constructed via the observed Fisher information matrix. Using gamma conjugate priors, the Bayes estimators against the squared-error and linear-exponential loss functions are derived. As expected, the Bayes estimates are not explicitly expressed, thus the Markov chain Monte Carlo techniques are implemented to approximate the Bayes point estimates and to construct the associated highest posterior density credible intervals. The performance of proposed estimators is evaluated via some numerical comparisons and some specific recommendations are also made. We further discuss the issue of determining the optimum progressive censoring plan among different competing censoring plans using three optimality criteria. Finally, two real-life datasets are analyzed to demonstrate how the proposed methods can be used in real-life scenarios. (shrink)

This paper deals with various connections that are found to exist between statistical estimation methods for decision-making and rules of group choice in the social choice area. Initially the aggregation of individual opinions is formulated as a pattern recognition problem; firstly it is shown that individual preferences lead to a natural representation in terms of binary patterns. Then we proceed to show how the search for a group preference pattern can be conducted by classifying the input preference patterns into various (...) ‘pattern classes’ and using the resulting classification boundaries to define the area of mutual agreement over some of the available alternatives. This leads to a decision-theoretic problem which consists in defining a decision rule (for classification) that is least likely to lead to misrecognition of arbitrary preference patterns. A maximum likelihood solution is obtained and compared with some well-known rules of group decision-making. Other solutions are also possible, on the basis of different optimality criteria, and their social choice interpretation is suggested. Finally, a method using Coleman's linear model for attributes is applied to yield group decision rules by feature weighting of election issues. (shrink)

In applied problems mathematics is used as language or as a metalanguage on which metatheories are built, E.G., Mathematical theory of experiment. The structure of pure mathematics is grammar of the language. As opposed to pure mathematics, In applied problems we must keep in mind what underlies the sign system. Optimality criteria-Axioms of applied mathematics-Prove mutually incompatible, They form a mosaic and not mathematical structures which, According to bourbaki, Make mathematics a unified science. One of the peculiarities of (...) applied mathematical language is a variety of dialects: a problem can be presented in terms of various mathematical notions. Another peculiarity is polysemy: a problem can be presented in the framework of one dialect by a set of various models with equal right to exist. The pragmatic sense of distinction between applied and pure mathematics must lead to specific training in each case. (shrink)

This article provides unified axiomatic foundations for the most common optimality criteria in statistical decision theory. It considers a decision maker who faces a number of possible models of the world (possibly corresponding to true parameter values). Every model generates objective probabilities, and von Neumann–Morgenstern expected utility applies where these obtain, but no probabilities of models are given. This is the classic problem captured by Wald’s (Statistical decision functions, 1950) device of risk functions. In an Anscombe–Aumann environment, I (...) characterize Bayesianism (as a backdrop), the statistical minimax principle, the Hurwicz criterion, minimax regret, and the “Pareto” preference ordering that rationalizes admissibility. Two interesting findings are that c-independence is not crucial in characterizing the minimax principle and that the axiom which picks minimax regret over maximin utility is von Neumann–Morgenstern independence. (shrink)

It is usually taken as given that consciousness involves superior or more elaborate forms of information processing. Contemporary models equate consciousness with global processing, system complexity, or depth or stability of computation. This is in stark contrast with the powerful philosophical intuition that being conscious is more than just having the ability to compute. I argue that it is also incompatible with current empirical findings. I present a model that is free from the strong assumption that consciousness predicts superior performance. (...) The model is based on Bayesian decision theory, of which signal detection theory is a special case. It reflects the fact that the capacity for perceptual decisions is fundamentally limited by the presence and amount of noise in the system. To optimize performance, one therefore needs to set decision criteria that are based on the behaviour, i.e. the probability distributions, of the internal signals. One important realization is that the knowledge of how our internal signals behave statistically has to be learned over time. Essentially, we are doing statistics on our own brain. This ‘higherorder’ learning, however, may err, and this impairs our ability to set and maintain optimal criteria for perceptual decisions, which I argue is central to perception consciousness. I outline three possibilities of how conscious perception might be affected by failures of ‘higher-order’ representation. These all imply that one can have a dissociation between consciousness and performance. This model readily explains blindsight and hallucinations in formal terms, and is beginning to receive direct empirical support. I end by discussing some philosophical implications of the model. (shrink)

BackgroundDespite rapid growth of the scientific literature, no consensus guidelines have emerged to define the optimal criteria for editors to grade submitted manuscripts. The purpose of this project was to assess the peer reviewer metrics currently used in the surgical literature to evaluate original manuscript submissions.MethodsManuscript grading forms for 14 of the highest circulation general surgery-related journals were evaluated for content, including the type and number of quantitative and qualitative questions asked of peer reviewers. Reviewer grading forms for the (...) seven surgical journals with the higher impact factors were compared to the seven surgical journals with lower impact factors using Fisher’s exact tests.ResultsImpact factors of the studied journals ranged from 1.73 to 8.57, with a median impact factor of 4.26 in the higher group and 2.81 in the lower group. The content of the grading forms was found to vary considerably. Relatively few journals asked reviewers to grade specific components of a manuscript. Higher impact factor journal manuscript grading forms more frequently addressed statistical analysis, ethical considerations, and conflict of interest. In contrast, lower impact factor journals more commonly requested reviewers to make qualitative assessments of novelty/originality, scientific validity, and scientific importance.ConclusionSubstantial variation exists in the grading criteria used to evaluate original manuscripts submitted to the surgical literature for peer review, with differential emphasis placed on certain criteria correlated to journal impact factors. (shrink)

These remarks deal with the attempt of G. Klaus to establish a theory of knowledge by combining basic ideas of cybernetics and information theory with the position of dialectical materialism. Klaus underlines the materialistic approach and the importance of science, rather than Hegelian dialectics. Irrespective of the ideological issues, the following of Klaus' suggestions are debatable: The connection between brain structure and logical reasoning. Treating information and information processing as basic notions, although this does not account for the capacity of (...) the human mind to inquire into any object whatever. Regarding the evolution of mankind as a selection process, determined by the way in which signals from the environment are selected and elaborated. Explaining creative thinking by the trial and error method. Giving a naturalistic derivation of the goals and optimation criteria of the cybernetic system 'man' exclusively from its relation to environment. (shrink)

In this paper we analyse in the framework of constructive mathematics (BISH) the validity of Farkas' lemma and related propositions, namely the Fredholm alternative for solvability of systems of linear equations, optimality criteria in linear programming, Stiemke's lemma and the Superhedging Duality from mathematical finance, and von Neumann's minimax theorem with application to constructive game theory.

This paper analyzes criteria of fair division of a set of indivisible items among people whose revealed preferences are limited to rankings of the items and for whom no side payments are allowed. The criteria include refinements of Pareto optimality and envy-freeness as well as dominance-freeness, evenness of shares, and two criteria based on equally-spaced surrogate utilities, referred to as maxsum and equimax. Maxsum maximizes a measure of aggregate utility or welfare, whereas equimax lexicographically maximizes persons' (...) utilities from smallest to largest. The paper analyzes conflicts among the criteria along with possibilities and pitfalls of achieving fair division in a variety of circumstances. (shrink)

In a three-candidate election, a scoring rule s (s in [0,1]) assigns 1, s, and 0 points (respectively) to each first, second and third place in the individual preference rankings. The Condorcet efficiency of a scoring rule is defined as the conditional probability that this rule selects the winner in accordance with Condorcet criteria (three Condorcet criteria are considered in the paper). We are interested in the following question: What rule s has the greatest Condorcet efficiency? After recalling (...) the known answer to this question, we investigate the impact of social homogeneity on the optimal value of ?. One of the most salient results we obtain is that the optimality of the Borda rule (s=1/2) holds only if the voters act in an independent way. (shrink)

In this study I analyse the performance of a democratic decision-making rule: the weighted majority rule. It assigns to each voter a number of votes that is proportional to her stakes in the decision. It has been shown that, for collective decisions with two options, the weighted majority rule in combination with self-interested voters maximises the common good when the latter is understood in terms of either the sum-total or prioritarian sum of the voters’ well-being. The main result of my (...) study is that this argument for the weighted majority rule — that it maximises the common good — can be improved along the following three main lines. (1) The argument can be adapted to other criteria of the common good, such as sufficientarian, maximin, leximin or non-welfarist criteria. I propose a generic argument for the collective optimality of the weighted majority rule that works for all of these criteria. (2) The assumption of self-interested voters can be relaxed. First, common-interest voters can be accommodated. Second, even if voters are less than fully competent in judging their self-interest or the common interest, the weighted majority rule is weakly collectively optimal, that is, it almost certainly maximises the common good given large numbers of voters. Third, even for smaller groups of voters, the weighted majority rule still has some attractive features. (3) The scope of the argument can be extended to decisions with more than two options. I state the conditions under which the weighted majority rule maximises the common good even in multi-option contexts. I also analyse the possibility and the detrimental effects of strategic voting. Furthermore, I argue that self-interested voters have reason to accept the weighted majority rule. (shrink)

Simon’s bounded rationality , the first scientific research program to seriously take the cognitive limitations of decision makers into account, has often been conflated with his more restricted concept of satisficing—choosing an alternative that meets or exceeds specified criteria, but that is not guaranteed to be unique or in any sense “the best.” Proponents of optimization often dismiss bounded rationality out of hand with the following “hallway syllogism” : bounded rationality “boils down to” satisficing; satisficing is “simply” a theory (...) of search for alternatives that takes into account the costs of computation. Hence, bounded rationality is “just a minor tweak” on optimal search theory. (shrink)

The matter of enterprise labor resource management explaining the enterprise's staff potential increase or reduction is considered. That is to say the problem of efficiency of staff potential employment is researched. The author determines a general aim of the enterprise staff potential management in current terms of functioning, which refers to the purposeful performance of certain steps resulting in effective appliance. Factors of degree of staff potential and its effective appliance are determined as followed: qualified staff development; involvement of qualified (...) professionals; optimal conditions for staff operation support. The mechanism of unit staff potential management being able to adjust to changes in a structure of interrelated elements, production and the technological interaction organization, terms of working, the performance of professional competiveness and the staff rotation within the branches as well as between them is suggested. Criteria of effective realization of the mechanism of staff potential management by the working efficiency increase, the staff and manager competiveness increase, the rotations possibility, the produced goods and services quality increase. A procedure of enterprise staff rating is considered. To motivate qualified workers of organizational and functional units of an enterprise and to stimulate them for better further working, the monitoring of their activity compensation by certain bonuses is proposed. A model of premium distribution between co-workers of functional units of an enterprise, based on the Kohonen self-organized maps method implementation, is represented. Characteristics of informational and analytical systems of the enterprise staff potential management functioning in the unified informational environment are determined. The implementation of proposed mechanism provides high level of the enterprise staff potential realization as well as the permanent development of labor resources during a business activity process. (shrink)

This paper reconstructs the history of the introduction and use of iterative algorithms in conservation biology in the 1980s and early 1990s in order to prioritize areas for protection as nature reserves. The importance of these algorithms was that they led to greater economy in spatial extent (“efficiency”) in the selection of areas to represent biological features adequately (that is, to a specified level) compared to older methods of scoring and ranking areas using criteria such as biotic “richness” (the (...) number of features of interest). The development of these algorithms was critical to producing a research program for conservation biology that was distinct from ecology and eventually led to what came to be called systematic conservation planning. Very similar algorithmic approaches were introduced independently in the 1980–1990 period in Australia, South Africa, and (arguably) the United Kingdom. The key rules in these algorithms were the use of rarity and what came to be called complementarity (the number of new or under-represented features in an area relative to those that had already been selected). Because these algorithms were heuristic, they were not guaranteed to produce optimal (most “efficient”) solutions. However, complementarity came to be seen as a principle rather than a rule in an algorithm and its use was also advocated for the former reason. Optimal solutions could be produced by reformulating the reserve selection problem in a mathematical programming formalism and using exact algorithms developed in that context. A dispute over the relevance of full optimality arose and was never resolved. Moreover, exact algorithms could not easily incorporate criteria determining the spatial configuration of networks of selected areas, in contrast to heuristic algorithms. Meanwhile metaheuristic algorithms emerged in the 1990s and came to be seen as a credible more effective alternative to the heuristic algorithms. Ultimately what was important about these developments was that the reserve selection problem came to be viewed a complex optimal decision problem under uncertainty, resource, and other constraints. It was a type of problem that had no antecedent in traditional ecology. (shrink)

Adjusting for covariates is a well-established method to estimate the total causal effect of an exposure variable on an outcome of interest. Depending on the causal structure of the mechanism under study, there may be different adjustment sets, equally valid from a theoretical perspective, leading to identical causal effects. However, in practice, with finite data, estimators built on different sets may display different precisions. To investigate the extent of this variability, we consider the simplest non-trivial non-linear model of a v-structure (...) on three nodes for binary data. We explicitly compute and compare the variance of the two possible different causal estimators. Further, by going beyond leading-order asymptotics, we show that there are parameter regimes where the set with the asymptotically optimal variance does depend on the edge coefficients, a result that is not captured by the recent leading-order developments for general causal models. As a practical consequence, the adjustment set selection needs to account for the relative magnitude of the relationships between variables with respect to the sample size and cannot rely on purely graphical criteria. (shrink)

Attempts to create empirically based theories of consciousness face two kinds of obsta­cles. First, the dominant strategy of searching for the neural correlates of consciousness has been unsuccessful due to the lack of working hypotheses about their causal connec­tion with conscious states. The second obstacle is multiplicity of explananda – the lack of sufficient evidence for the belief that everything that we consider to be phenomena of consciousness or conscious states is ontologically unified. Perhaps, these issues are caused by the (...) fact that the sciences of consciousness are devoid of an analog to the radio engineering level, which, in addition to theoretical electrodynamics, is essential for un­derstanding the principles of radio devices’ functioning. This level of knowledge should include a simplified ontology of the subject area, allowing one to isolate fundamental functional relationships at its algorithmic level. Considering the history of the sciences of consciousness and the specifics of their subject, the optimal candidate for the role of the engineering level of knowledge could be a computational approach, which would involve describing the subject as a combination of computational primitives that allow for the implementation of algorithms generating conscious states. Such an approach looks even more promising as non-computational theories of consciousness based on tradi­tional natural science paradoxically remain de facto metaphysical (speculative). In addi­tion to different approaches to the criteria for a “good” empirical (non-speculative) theory of consciousness, the paper provides an overview of a theory of consciousness based on the active inference hypothesis. The analysis of this theory suggests that a computa­tional model underlying a good theory of consciousness should not be deterministic, but probabilistic. (shrink)

Localization Wireless Sensor Networks (WSN) represent a research topic with increasing interest due to their numerous applications. However, the viability of these systems is compromised by the attained localization uncertainties once implemented, since the network performance is highly dependent on the sensors location. The Node Location Problem (NLP) aims to obtain the optimal distribution of sensors for a particular environment, a problem already categorized as NP-Hard. Furthermore, localization WSN usually perform a sensor selection for determining which nodes are to be (...) utilized for maximizing the achieved accuracy. This problem, defined as the Sensor Selection Problem (SSP), has also been categorized as NP-Hard. While different metaheuristics have been proposed for attaining a near optimal solution in both problems, no approach has considered the two problems simultaneously, thus resulting in suboptimal solutions since the SSP is biased by the actual node distribution once deployed. In this paper, a combined approach of both problems simultaneously is proposed, thus considering the SSP within the NLP. Furthermore, a novel metaheuristic combining the Black Widow Optimization (BWO) algorithm and the Variable Neighbourhood Descent Chains (VND-Chains) local search, denominated as BWO-VND-Chains, is particularly devised for the first time in the author’s best knowledge for the NLP, resulting in a more efficient and robust optimization technique. Finally, a comparison of different metaheuristic algorithms is proposed over an actual urban scenario, considering different sensor selection criteria in order to attain the best methodology and selection technique. Results show that the newly devised algorithm with the SSP criteria optimization achieves mean localization uncertainties up to 19.66 % lower than traditional methodologies. (shrink)

In many studies, human reasoning has been depicted as “biased” or deviating from normative models in both areas of deductive and inductive reasoning. Two criteria for evaluation of reasoning studies are proposed in this paper. The first criterion concerns the selection and application of normative models against which human performance is assessed. The second criterion concerns the role of conversational factors in the differential selection of information used in the subsequent judgment. These two criteria were applied to studies (...) on two tasks from the fields of deductive and inductive reasoning, the Wason selection task and the base rate fallacy. In view of alternative normative systems, control of the application of the normative models used and the perceived conversational relevance of the information presented in the experimental tasks, the alleged biases have been demonstrated to be largely unsupported. The analysis is consistent with the notion that human reasoning is optimal and rational. The implications of the present account for reasoning experiments are discussed. (shrink)

How should we make interpersonal comparisons of well-being levels and differences? One branch of welfare economics eschews such comparisons, which are seen as impossible or unknowable; normative evaluation is based upon criteria such as Pareto or Kaldor-Hicks efficiency that require no interpersonal comparability. A different branch of welfare economics, for example optimal tax theory, uses “social welfare functions” to compare social states and governmental policies. Interpersonally comparable utility numbers provide the input for SWFs. But this scholarly tradition has never (...) adequately explained the basis for these numbers. John Harsanyi, in his work on so-called “extended preferences,” advanced a fruitful idea. While an ordinary preference is a ranking of outcomes, an “extended preference” is a ranking of individual histories. To say that individual k has an extended preference for history over means something like the following: k prefers to have the attributes of individual i in outcome x, as opposed to having the attributes of individual j in outcome y. Harsanyi’s proposal was to endow individuals with “extended preferences”; to represent such preferences using “extended” utility functions; and to employ such functions, in turn, as the basis for interpersonal comparisons of well-being levels and differences. Harsanyi’s analysis, however, had various gaps and flaws. In this Article, I both diagnose these difficulties, and show how they can be remedied - yielding a viable account of interpersonal comparisons, one sufficient for the needs of the SWF approach. (shrink)

Both healthcare professionals and the healthcare system must defend each patient's health individually while simultaneously seeking to protect the population's health in general. Nowadays, there is an important increase in the cost of healthcare supply, mainly due to the developments of medical science, the public's expectations and the demographic ageing. Since healthcare resources are not unlimited, it is obvious that immoderate consumption of them by certain patients limits the use of the same funds by others. Therefore, we have to seek (...) an optimal distribution of the existing resources in order to manage a constriction of expenses, especially under the circumstances of the modern economic crisis. The criteria of effectiveness and efficiency should be used. Health policies focus on both the public's behaviour and the rules of medical practice. Under the modern challenges the physician's role is particularly important for the protection of the patient's health and the promotion of public health. (shrink)

This paper provides a history of the development of Harold Hochman and James Rodgers’ theory of Pareto optimal redistribution, which modeled income transfers as a public good. Pareto optimal redistribution provided an economic efficiency case for redistribution policy. After reviewing the emergence of Pareto optimal redistribution at the University of Virginia and its elaboration at the Urban Institute in the early 1970s, the paper describes James M. Buchanan’s efforts to grapple with his colleague’s ideas in the context of public choice (...) theory. Initially, Buchanan provided an even more expansive argument for redistribution than Hochman and Rodgers. By the mid-1970s, though, Buchanan largely rejected his earlier approach to redistribution and theorized new criteria for redistribution that were narrower in scope. (shrink)

The scope of the paper is to investigate whether e-learning is a good alternative to achieve business ethics teaching goals in the challenging context of disembedded economies. To achieve this goal, I used various interdisciplinary methods and approaches, content analysis of the relevant literature, and a case study. Firstly, I focus on the current challenges of business ethics teaching. Then, based on my experience of teaching business ethics in various forms, I distinguish the methods applied within them and evaluate them, (...) taking as criteria the cognitive, applicative, and reflective goals of teaching business ethics. Models and theories of educational psychology provide a framework to distinguish some elements that are responsible for the learning success of the student in terms of the defined teaching goal. Empirical results show that although e-learning scored best when it comes to achieving three differentiated goals of business ethics teaching, it is followed closely by seminars. This leads to the conclusion that perhaps a hybrid form, containing e-learning and seminars, would be the optimal way to achieve the goals. (shrink)

This article explores links between the modern theory of rational choice and ethics. Ethics allows us to answer an unsolved question in modern decision theory: the structuring problem in decisions. Such a problem cannot be solved coming from the principle of expected utility. This principle can solve the problem of ‚choosing’ among given alternatives, but does not establish which alternatives should be taken into account in decision. In order to understand the structuring problem, the act of ‚choosing’ has to be (...) completed with three human acts: operating, predicting and evaluating. At the same time, the subjective criteria of rational choice – probability and utility – have to be completed with three objective criteria: efficiency, truth and goodness. Utility is a subjective value of an alternative considered in relation to another. Efficiency, truth and goodness are objective qualities of the joint alternatives in relation to the reality: the real operating possibilities of the agent, the real possibilities of his environment and the true good produced. So, the rule that guarantees a decision to be optimal would be: “do that which most certainly maximises our preferences, according to real operative resources, true knowledge and the right will”. However, this rule cannot be applied without the development of virtues, which could be seen as the main moral competences in decision-making. (shrink)

Cloud computing (ClC) has become a more popular computer paradigm in the preceding few years. Quality of Service (QoS) is becoming a crucial issue in service alteration because of the rapid growth in the number of cloud services. When evaluating cloud service functioning using several performance measures, the issue becomes more complex and non-trivial. It is therefore quite difficult and crucial for consumers to choose the best cloud service. The user's choices are provided in a quantifiable manner in the current (...) methods for choosing cloud services. Hence, this study attempts to achieve this objective through construction. decision-making framework so-called cloud services evaluator (CSsEv). The main indicator and its sub-indicators are formed as nodes at levels(n) in tree soft sets (TSSs). Thereafter Single Value Neutrosophic Sets (SVNSs) as branch of neutrosophic sets which conjunction with the Multi-Criteria Decision Making (MCDM) technique to facilitate analysis and evaluation process for the available Cloud services providers. Hence, entropy is employed to obtain indicators and sub_indicators weights and Complex Proportional Assessment utilizes these weights to facilitate the decision process of selecting optimal ClSPs. (shrink)

In 2022, the Research Center for Islamic Legislation & Ethics (CILE) and the World Innovation Summit for Health (WISH) submitted a proposal to host the 17th edition of the World Congress of Bioethics. After announcing that the CILE‐WISH proposal was the winning bid, concerns were raised by bioethicists based in Europe and the USA. To address these concerns, the International Association of Bioethics (IAB) developed a dedicated FAQ section, in coordination with the host institutions, for the first time in IAB (...) history. One‐to‐one communication ensued and individual responses were shared with these colleagues. As a continuation of this conversation, we (CILE Acting Director, WISH Research Fellow and Head of Content, and WISH CEO) address the concerns raised in the Letter‐to‐the‐Editor of Bioethics by Graaf et al. As we support the call to revisit some contentious issues within the global community of bioethicists, we maintain that this should be based on meticulously discussed, informed, consistent and equitable criteria. We also argue that mutual learning from diverse cultures and moral traditions is the optimal way for our scholarly community to be truly global and to eschew the flaws ensuing from ethnocentric discourses. (shrink)

Researchers designing a clinical trial may be aware of disputed evidence of serious risks from previous studies. These researchers must decide whether and how to describe these risks in their model informed consent document. They have an ethical obligation to provide fully informed consent, but does this obligation include notice of controversial evidence? With ACCORD as an example, we describe a framework and criteria that make clear the conditions requiring inclusion of important controversial risks. The ACCORD model consent document (...) did not include notice of prior trials with excess death. We develop and explain a new standard labeled risk in equipoise. We argue that our approach provides an optimal level of integrity to protect the informational needs of the reasonable volunteers who agree to participate in clinical trials. We suggest language to be used in a model consent document and the informed consent discussion when such controversial evidence exists. (shrink)

We have national guidelines for the responsible conduct of research (RCR) and procedures for handling allegations of misconduct in Finland. The guidelines have been formulated and updated by the Finnish Advisory Board on Research Integrity (TENK). In this article, we introduce and evaluate the national RCR guidelines. We also present statistics of alleged and proven RCR violation cases and frequency of appeals to TENK on the decisions or procedures of the primary institutions. In addition, we analyze the available data on (...) seven investigated cases in more detail. Positive aspects in the Finnish system are a fairly good infrastructure to investigate suspected RCR violations and a wide concept of RCR violations, which consists of fabrication, falsification, plagiarism, misappropriation, and other misbehaviors. However, the guidelines contain poorly elaborated definitions, do not treat the complainant and the suspect in an equal way, and need to be revised. Confusion about the concepts and criteria of the RCR violations seems to be common in primary institutions and among the complainants. Even if research institutions and universities have officially adhered to the national RCR guidelines, slipping from the guidelines occurs quite commonly. All these factors lead to frequent dissatisfaction with the decisions or procedures applied, high rate of appeals to TENK, and far from optimal functionality of the system. (shrink)