We report the results of a vignette study with an online sample of the German adult population in which we analyze the interplay between need, equity, and accountability in third-party distribution decisions. We asked participants to divide firewood between two hypothetical persons who either differ in their need for heat or in their productivity in terms of their ability to chop wood. The study systematically varies the persons’ accountability for their neediness as well as for their productivity. We find (...) that participants distribute significantly fewer logs of wood to persons who are held accountable for their disadvantage. Independently of being held accountable or not, the needier person is partially compensated with a share of logs that exceeds her contribution, while the person who contributes less is given a share of logs smaller than her need share. Moreover, there is a domain effect in terms of participants being more sensitive to lower contributions than to greater need. (shrink)

We present a vignette study conducted with a quota sample of the German population (n = 400). Subjects had to redistribute a good between two hypothetical persons who contributed equally to the available amount but differed in quantity needed and the reason for their neediness. On a within-subjects level, we tested for the effects of need, accountability, and resource availability on their third-party distribution decisions. Between subjects, we further varied the kinds of needs: The persons either needed the good (...) as a means to survive, to live a decent life, to participate in society, or to be autonomous. Despite equal productivity, the mean share allocated to the needier person was significantly higher than an equal share. However, this share turned out significantly smaller when the needier person was accountable for needing more than the other. Nonetheless, even if accountable, the needier person still got a share larger than their contribution would suggest. When there was a surplus of resources, the needier person got an even higher share than when resources were scarce. (shrink)

We report the results of a vignette experiment with a quota sample of the German population in which we analyze the interplay between need, equity, and accountability in third-party distributive decisions. We asked subjects to divide firewood between two hypothetical persons who either differ in their need for heat or in their productivity in terms of their ability to chop wood. The experiment systematically varies the persons’ accountability for their neediness as well as for their productivity. We find (...) that subjects distribute significantly fewer logs of wood to persons who are held accountable for their disadvantage. Independently of being held accountable or not, the needier person is always compensated with a share of logs that exceeds her contribution, while the person who contributes less is punished in terms of receiving a share of logs smaller than her need share. Moreover, there is a domain effect in terms of subjects being more sensitive to lower contributions than to greater need. (shrink)

Virtual enterprise is a dynamic alliance of businesses, in which multiple members undertake joint research, development, manufacturing, operation, etc. The complexity of the relationship between business members, coupled with many new technologies or methods applied in the alliance operation, leads to more uncertain factors and difficulties in the operation and risk management of the virtual enterprise. The distributed decision-making model is a fast and effective decision-making model, in which dispersed intellectual resources and information resources are dynamically integrated through virtual organization (...) forms and operating mechanisms, and the dynamic reorganization, result evaluation, and synthesis of the decision-making system are realized by certain control rules. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of the risk control of virtual enterprise; elaborated the development background, current status, and future challenges of distributed decision-making model; introduced the related works of decision-making variable calculation and constraint determination; constructed a risk control model for virtual enterprise based on distributed decision-making model; analyzed the multiobjective model and interval programming model of risk control; established a risk control approach for virtual enterprise based on distributed decision-making model; performed the optimal allocation of risk control funds and the selective optimization of backup allies; and finally conducted a case analysis. The study results show that, in view of the diversity of relationships between alliance businesses and the complexity of the distribution of cooperative areas, the distributed decision-making model can more reasonably describe the relationship between alliance members and accurately control the risks of virtual enterprise from multiple angles, which can effectively manage the risks of virtual enterprise. The study results of this paper provide a reference for further research on the risk control of virtual enterprise based on distributed decision-making model. (shrink)

The purpose of this article is to present a new distributed interactive career decision-making framework in which person and context together determine the development of a sustainable career. We build upon recent theories from two disciplines: decision theory and career theory. Our new conceptual framework incorporates distributed stakeholders into the career decision-making process and suggests that individuals make decisions through a system of distributed agency, in which they interact with their context to make each career decision, at varying levels (...) of participation, from proactive to reactive. We focus on two key career decision-making drivers originating from the person, and two key drivers from the career context. This manuscript challenges the individual-driven approach to career development, and instead proposes that a process of distributed career decision-making takes place between each person and the various stakeholders, both individual and institutional, that also drive their career. Career seekers and counselors can use this framework to supplement an individual-focused approach and incorporate the role of distributed decision-makers in sustaining an individual’s career. Empirical research is needed to explore and test the applicability of the framework to career decisions in practice. (shrink)

Environmental pragmatists are committed to analyzing questions of environmental policy. Bryan Norton's pragmatic critique of environmental decision-making shows how an implicit commitment to the fact/value distinction has hindered productive environmental action. Nonetheless, Norton, as well as the majority of environmental ethicists, have devoted more attention to theorizing value disagreements as a primary cause of controversy than to examining epistemic structures. A case study demonstrates why and how Norton's procedural account may be supplemented with sensitive attention to the construction of epistemic (...) authority in environmental disputes. I recommend supporting the development of local knowledges and just distributions of epistemic authority. (shrink)

In this paper I proceed on the assumption that moral philosophers can and should contribute to the resolution of perplexing moral problems. The ones considered here relate to decisions concerning the distribution of scarce medical resources as between those in need of treatment. I draw on considerations of egalitarianism and concern for the maximization of the use of scarce resources in the task of satisfying basic human needs (such as for good health). I propose certain principles and offer some (...) supporting suggestions as guidelines or rules for medical decisions with a view to providing a helpful decision procedure for the various persons (doctors, community panels and so on) whose task it is to make the life-or-death decisions involved in allocating certain scarce medical resources. -/- . (shrink)

ABSTRACT:Utilitarianism is commonly defined in very different ways, sometimes in a single text. There is wide agreement that it mandates maximizing some kind of good, but many formulations also require a pattern of distribution. The most common of these take utilitarianism to characterize right acts as those that achieve “the greatest good for the greatest number.” This paper shows important ambiguities in this formulation and contrasts it (on any plausible interpretation of it) with the kinds of utilitarian views actually defended (...) by major proponents of utilitarianism. The aim is not to defend any of these views but to formulate them in a way that facilitates using them—or, more likely, some revised version suggested by the paper—in guiding decisions in business. The analysis provided here should also facilitate appraisal of utilitarianism, contribute to clarity in discussions of business ethics, and suggest a range of ethical standards that merit consideration for certain kinds of decision. If the results of the analysis are correct, a distributive reading of utilitarianism is at best misleading as a representation of its central thrust; it should not be described as the view that ethics calls for achieving “the greatest good for the greatest number”; and, understood as its major proponents take it, utilitarianism differs more from Kantian ethics than distributive readings imply and is more difficult to defend than it appears to be when viewed as intrinsically distributive. (shrink)

We develop a conceptually clear, intuitive, and feasible decision procedure for testing satisfiability in the full multi\-agent epistemic logic \CMAELCD\ with operators for common and distributed knowledge for all coalitions of agents mentioned in the language. To that end, we introduce Hintikka structures for \CMAELCD\ and prove that satisfiability in such structures is equivalent to satisfiability in standard models. Using that result, we design an incremental tableau-building procedure that eventually constructs a satisfying Hintikka structure for every satisfiable input set of (...) formulae of \CMAELCD\ and closes for every unsatisfiable input set of formulae. (shrink)

Approximately three decades ago the question was first answered whether parasitoids are able to assess the number or origin of eggs in a host for a solitary parasitoid, Leptopilina heterotoma, by fitting theoretically derived distributions to empirical ones. We extend the set of different theoretically postulated distributions of eggs among hosts by combining searching modes and abilities in assessing host quality. In the models, parasitoids search either randomly (Poisson) (1) or by vibrotaxis (Negative Binomial) (2). Parasitoids are: (a) assumed to (...) treat all hosts equally, (b) able to distinguish them in unparasitised and parasitised hosts only, (c) able to distinguish them by the number of eggs they contained, or (d) able to recognise their own eggs. Mathematically tractable combinations of searching mode (1 and 2) and abilities (a,b,c,d) result in seven different models (M1a, M1b, M1c, M1d, M2a, M2b and M2c). These models have been simulated for a varying number of searching parasitoids and various mean numbers of eggs per host. Each resulting distribution is fitted to all theoretical models. The model with the minimum Akaike's information criterion (AIC) is chosen as the best fitting for each simulated distribution. We thus investigate the power of the AIC and for each distribution with a specified mean number of eggs per host we derive a frequency distribution for classification.Firstly, we discuss the simulations of models including random search (M1a, M1b, M1c and M1d). For M1a, M1c and M1d the simulated distributions are correctly classified in at least 70% of all cases. However, in a few cases model M1b is only properly classified for intermediate mean values of eggs per host. The models including vibrotaxis as searching behaviour (M2a, M2b and M2c) cannot be distinguished from those with random search if the mean number of eggs per host is low. Among the models incorporating vibrotaxis the three abilities are detected analogously as in models with random search. (shrink)

It is well known that for all recursively enumerable sets X 1 , X 2 there are disjoint recursively enumerable sets Y 1 , Y 2 such that $Y_1 \subseteq X_1, Y_2 \subseteq X_2$ and Y 1 ∪ Y 2 = X 1 ∪ X 2 . Alistair Lachlan called distributive lattices satisfying this property separated. He proved that the first-order theory of finite separated distributive lattices is decidable. We prove here that the first-order theory of all separated (...) distributive lattices is undecidable. (shrink)

Deep learning models are powerful tools for representing the complex learning processes and decision-making strategies used by humans. Such neural network models make fewer assumptions about the underlying mechanisms thus providing experimental flexibility in terms of applicability. However, this comes at the cost of involving a larger number of parameters requiring significantly more data for effective learning. This presents practical challenges given that most cognitive experiments involve relatively small numbers of subjects. Laboratory collaborations are a natural way to increase overall (...) dataset size. However, data sharing barriers between laboratories as necessitated by data protection regulations encourage the search for alternative methods to enable collaborative data science. Distributed learning, especially federated learning, which supports the preservation of data privacy, is a promising method for addressing this issue. To verify the reliability and feasibility of applying FL to train neural networks models used in the characterization of decision making, we conducted experiments on a real-world, many-labs data pool including experiment data-sets from ten independent studies. The performance of single models trained on single laboratory data-sets was poor. This unsurprising finding supports the need for laboratory collaboration to train more reliable models. To that end we evaluated four collaborative approaches. The first approach represents conventional centralized learning and is the optimal approach but requires complete sharing of data which we wish to avoid. The results however establish a benchmark for the other three approaches, federated learning, incremental learning, and cyclic incremental learning. We evaluate these approaches in terms of prediction accuracy and capacity to characterize human decision-making strategies. The FL-based model achieves performance most comparable to that of the CL-based model. This indicates that FL has value in scaling data science methods to data collected in computational modeling contexts when data sharing is not convenient, practical or permissible. (shrink)

The aim of this study was to assess the opinions and role of intensive care unit (ICU) nurses regarding the distribution of ICU beds. We conducted this research among 30% of the attendees at two ICU congresses in Turkey. A self-administered questionnaire was used, which included 13 cases and allocation criteria. Of the total (136 nurses), 53.7% participated in admission/discharge decisions. The most important criterion was quality of life as viewed by the physician; the least important was the patient’s (...) social status. According to the findings, the nurses thought that medical benefit and avoiding discrimination were important. On the other hand their ignorance of patients’ autonomous preferences arouses suspicions about these nurses’ role in advocating for patients’ rights. For this reason, nurses’ role in allocation decisions should be clearly described and should also be the basis on which intensive care nurses’ duties in allocation decisions should be determined. (shrink)

We focus on the dichotomous choice model, which goes back as far as Condorcet (1785; Essai sur l'application de l'analyse a la probabilité des décisions rendues a la pluralité des voix, Paris). A group of experts is required to select one of two alternatives, of which exactly one is regarded as correct. The alternatives may be related to a wide variety of areas. A decision rule translates the individual opinions of the members into a group decision. A decision rule is (...) optimal if it maximizes the probability of the group to make a correct choice. In this paper we assume the correctness probabilities of the experts to be independent random variables, selected from some given distribution. Moreover, the ranking of the members in the team is (at least partly) known. Thus, one can follow rules based on this ranking. The polar different rules are the expert and the majority rules. The probabilities of the two polar rules being optimal were compared in a series of papers. The main purpose of this paper is to outline the results, providing exact formulas or estimates for these probabilities. We consider a variety of distributions and show that for all of these distributions the asymptotic behaviour of the probabilities of the two polar rules follows the same patterns. (shrink)

There are various philosophical approaches and theories describing the intimate relation people have to artifacts. In this paper, I explore the relation between two such theories, namely distributed cognition and distributed morality theory. I point out a number of similarities and differences in these views regarding the ontological status they attribute to artifacts and the larger systems they are part of. Having evaluated and compared these views, I continue by focussing on the way cognitive artifacts are used in moral practice. (...) I specifically conceptualise how such artifacts (a) scaffold and extend moral reasoning and decision-making processes, (b) have a certain moral status which is contingent on their cognitive status, and (c) whether responsibility can be attributed to distributed systems. This paper is primarily written for those interested in the intersection of cognitive and moral theory as it relates to artifacts, but also for those independently interested in philosophical debates in extended and distributed cognition and ethics of (cognitive) technology. (shrink)

Previous studies have explored the impact of the cost ratio of individual solutions versus collective solutions on people’s cooperation tendency in the presence of individual solutions. This study further explored the impact of team credibility on people’s propensity to cooperate in the presence of individual solutions. Study 1 investigated the influence of different level of altruistic tendencies or the self-interest tendencies of teammates on participants’ decision-making. Study 2 explored the influence of the distribution of altruistic tendencies or self-interest tendencies on (...) participants’ decision-making. The results of Study 1 showed that the proportion of participants who chose the collective solution increased with an increase in the altruistic tendencies of the team. When the altruistic tendencies of the teammates reached a certain value, the proportion of participants taking the collective solution showed a trend to stabilize. Furthermore, the proportion of participants who chose the individual solution increased with the increase in the self-interest tendencies of the team. When the self-interest tendencies of the teammates reached a certain value, the individual solution was stably adopted. The results of Study 2 showed that with the total altruistic tendency remaining unchanged, the more altruistic group members that altruistic tendencies were allocated to, the higher a participant’s level of trust in the team would be, which showed the decentralized effect of altruistic tendencies. In the case that the total self-interest tendency was unchanged, the fewer self-interest group members the self-interest tendencies were allocated to, the higher a participant’s level of trust in the team would be, which showed the convergent effect of self-interest tendencies. (shrink)

This paper aims to identify the decision support systems and their role on the strategic management development in the Universities- Case Study: Islamic University of Gaza. The descriptive approach was used where a questionnaire was developed and distributed to a stratified random sample. (230) questionnaires were distributed and (204) were returned with response rate (88.7%). The most important findings of the study: The presence of a statistically significant positive correlation between the decision support systems and strategic management in the Islamic (...) University in Gaza, and this shows that there is a role for decision support systems in strategic management development. The senior management is convinced of the importance of strategic management of the organization, and this conviction paid to clearly understand the process of the development of strategic management and thus led to a commitment to this process to improve its performance. There is an impact on the strategic management of the capabilities available for the use of decision support systems, and the type of decision support systems used, while there is little effect of top management support for the use of decision support systems. Also, the results showed that there were no statistically significant differences between the averages of the respondents answers attributed to personal data. The research also concluded a series of recommendations: The Islamic University of Gaza need to develop its infrastructure of decision support systems when it develops the strategic management. It should increase its interest in organizational potential through the necessity of a separate unit for decision support systems. As well as increased interest in the physical and technical capabilities available to decision support systems through continuity in keeping pace with technological means and techniques, continued support of senior management in the organization of strategic management for its positive role on decision support systems, that senior management will continue in the organization in creating a culture of strategic management, and it should encourage employees to participate in the strategic management process. (shrink)

To gain legitimacy for climate change adaptation decisions, the distribution of responsibility for these decisions and their implementation needs to be grounded in theories of just distribution and what those a ected by decisions see as just. The purpose of this project is to contribute to sustainable spatial planning and the ability of local and regional public authorities to make well-informed and sustainable adaptation decisions, based on knowledge about both climate change impacts and the perceptions of (...) residents and civil servants on what constitutes a sustainable distribution of responsibility. Our aims are: (1) a better understanding of the practical implications of theories about just distribution of responsibility for the choice of local and regional climate adaptation measures; (2) knowledge about what residents and civil servants consider a sustainable distribution of responsibility for climate adaptation measures; and (3) a better understanding of conflicts concerning the distribution of responsibilities and systematic knowledge about the possibilities to manage them. In this interdisciplinary project, we study six municipalities and their residents, and two county administrative boards, all in Sweden, using mixed methods: value theory, document studies, interviews, focus groups, and surveys. (shrink)

Distributive theories evaluate distributions of goods based on candidate recipients’ characteristics, e.g. how well off candidates are, how deserving they are, and whether they fare below sufficiency. But such characteristics vary across possible worlds, so distributive theories may differ in terms of the world which for them settles candidates’ characteristics. This paper examines how distributive theories differ in terms of whether candidate recipients’ relevant characteristics are grounded in the possible world that would take place if the distributor (...) does not intervene (call it the “input” world) or if they are grounded in each possible world that the distributor can bring about through different decisions (call each an “output” world). We illustrate the importance of this distinction in relation to one distributive theory, prioritarianism. As we show, both input and output versions of prioritarianism are plausible interpretations of the literature, and there are good reasons to take input prioritarianism seriously. Ultimately, however, we argue that input prioritarianism should be rejected. (shrink)

This article develops an account of distributive epistemic justice in the production of scientific knowledge. We identify four requirements: (a) science should produce the knowledge citizens need in order to reason about the common good, their individual good and pursuit thereof; (b) science should produce the knowledge those serving the public need to pursue justice effectively; (c) science should be organized in such a way that it does not aid the wilful manufacturing of ignorance; and (d) when making (...) class='Hi'>decisions about epistemic risks, scientists should make sure that there aren’t social groups or weighty interests that are neglected. After discussing these requirements, we examine the relationship between discriminatory and distributive epistemic injustice in science and argue that they often compound each other. (shrink)

Through modern driver assistant systems, algorithmic decisions already have a significant impact on the behavior of vehicles in everyday traffic. This will become even more prominent in the near future considering the development of autonomous driving functionality. The need to consider ethical principles in the design of such systems is generally acknowledged. However, scope, principles and strategies for their implementations are not yet clear. Most of the current discussions concentrate on situations of unavoidable crashes in which the life of (...) human beings is existentially affected. In this paper, we argue that ethical considerations should be mandatory for any algorithmic decision of autonomous vehicles, instead of a limitation to hazard situations. Such an ethically aligned behavior is relevant because autonomous vehicles, like any other traffic participants, operate in a shared public space, where every behavioral decision impacts the operational possibilities of others. These possibilities concern the fulfillment of a road-user’s safety, utility and comfort needs. We propose that, to operate ethically in such space, an autonomous vehicle will have to take its behavior decisions according to a just distribution of operational possibilities among all traffic participants. Using an application on a partially-autonomous prototype vehicle, we describe how to apply and implement concepts of distributive justice to the driving environment and demonstrate the impact on its behavior in comparison to an advanced but egoistic decision maker. (shrink)

Group decisions raise a number of substantial philosophical and methodological issues. We focus on the goal of the group decision exercise itself. We ask: What should be counted as a good group decision-making result? The right decision might not be accessible to, or please, any of the group members. Conversely, a popular decision can fail to be the correct decision. In this paper we discuss what it means for a decision to be "right" and what components are required in (...) a decision process to produce happy decision-makers. Importantly, we discuss how "right" decisions can produce happy decision-makers, or rather, the conditions under which happy decision-makers and right decisions coincide. In a large range of contexts, we argue for the adoption of formal consensus models to assist in the group decision-making process. In particular, we advocate the formal consensus convergence model of Lehrer and Wagner (1981), because a strong case can be made as to why the underlying algorithm produces a result that should make each of the experts in a group happy. Arguably, this model facilitates true consensus, where the group choice is effectively each person's individual choice. We analyse Lehrer and Wagner's algorithm for reaching consensus on group probabilities/utilities in the context of complex decision-making for conservation biology. While many conservation decisions are driven by a search for objective utility/probability distributions (regarding extinction risks of species and the like), other components of conservation management primarily concern the interests of stakeholders. We conclude with cautionary notes on mandating consensus in decision scenarios for which no fact of the matter exists. For such decision settings alternative types of social choice methods are more appropriate. (shrink)

We consider scenarios with distributed decision processes, e.g., coupled majorities and personal union in parliament chambers, supranational decisions and supervisory boards. When computing the adoption rate for reaching a decision in these scenarios, multiple linear inequality restrictions in combinatorial countings are present. These rates cannot be computed in closed form. We introduce a general method for incorporating multiple inequality conditions in multiple majority decisions, which significantly reduces the number of involved summations and removes restrictions on the summation indices. (...) Exact solutions are provided through integral representations which can be evaluated numerically, and unrestricted, contracted sums over discrete events. Further, we provide methods to reduce the number of necessary summations by splitting or recurring the original problem to easier sub-problems. For five dedicated scenarios, full results are given which indeed require a single unrestricted summation only. (shrink)

A cognitivist account of decision-making views choice behaviour as a serial process of deliberation and commitment, which is separate from perception and action. By contrast, recent work in embodied decision-making has argued that this account is incompatible with emerging neurophysiological data. We argue that this account has significant overlap with an embodied account of predictive processing, and that both can offer mutual development for the other. However, more importantly, by demonstrating this close connection we uncover an alternative perspective on the (...) nature of decision-making, and the mechanisms that underlie our choice behaviour. This alternative perspective allows us to respond to a challenge for predictive processing, which claims that the satisfaction of distal goal-states is underspecified. Answering this challenge requires the adoption of an embodied perspective. (shrink)

A decision maker has to choose one of several random variables whose distributions are not known. As a Bayesian, she behaves as if she knew the distributions. In this paper we suggest an axiomatic derivation of these (subjective) distributions, which is more economical than the derivations by de Finetti or Savage. Whereas the latter derive the whole joint distribution of all the available random variables, our approach derives only the marginal distributions. Correspondingly, the preference questionnaire needed in our case is (...) less smaller. (shrink)

The individualist nature of much contemporary just war theory means that we often discuss cases with single attackers. But even if war is best understood in this individualist way, in war combatants often have to make decisions about how to distribute harms among a plurality of aggressors: they must decide whom and how many to harm, and how much to harm them. In this paper, I look at simultaneous multiple aggressor cases in which more than one distribution of harm (...) among aggressors is available. I show how such cases pose deep questions concerning the nature, role, and scope of the necessity principle, and its relationship to both liability and narrow proportionality. I argue that a hitherto unrecognised measure – ‘narrow proportionality shortfall’ – and its distribution is relevant in choosing how to distribute harms across aggressors. I then extend this analysis to show how this may help us with a puzzle concerning sequential attacks. (shrink)

Attitudes toward repository projects cannot be explained merely on the basis of perceived risks, trust, or technical information. Issues of justice and fairness frequently arise when burdens and benefits are to be allocated. A fair distribution across the various parts of a given territory of the waste to be stored is unlikely to be accomplished as it is contingent on appropriate geological formations and other factors. The process by which the specific distribution is determined and accomplished needs to be taken (...) into account as well. Thus, justice evaluations of both the distributive outcome and the process itself, by which the outcome is accomplished, are likely to affect people’s attitudes toward and acceptance of siting decisions. Data from a number of methodically different studies conducted over the last eight years on site selection in Switzerland suggest that a fair procedure is more essential than a fair distribution to a consensus about the decisions made. As a consequence, even normative assessments of the fairness of a distribution of nuclear waste must consider procedural justice as a valuable indicator, independently of the particular shape of the distribution. However, contextual factors, such as the wider nuclear energy strategy of a country, may compete with procedural fairness in terms of importance. Even though fairness is a requirement it does not guarantee acceptance. It may, however, enhance acceptability from a moral standpoint. (shrink)

This research assesses the factors influencing students' decision-making when choosing a university. The study proposes eight factors, such as parental or guardian influence, high school teacher recommendations, graduate quality, colleague recommendations, location, school fees, learning environment, and university reputation, on students' university choices. A quantitative approach was employed, utilizing both secondary and primary data. A total of 330 students were sampled for this study. The data were analyzed using SPSS, employing descriptive statistics for data summarization and inferential statistics for analysis. (...) Descriptive tools such as frequency analysis were used to examine the distribution of responses, while regression analysis was conducted to test the predictive power of the factors. The findings of this study indicate that factors such as parental or guardian influence, high school teacher recommendations, graduate quality, colleague recommendations, location, school fees, learning environment, and university reputation are all significant considerations in students' decision-making process when choosing a university. These factors play an influential role in shaping students' preferences and choices. The results show that these factors significantly impact students' university choices. The study contributes to the existing literature by providing empirical evidence on the importance of these factors in the decision-making process. Understanding the influence of these factors can assist universities in developing targeted strategies to attract and meet the needs of prospective students. By recognizing the significance of parental involvement, fostering positive relationships with high school teachers, showcasing successful graduates, promoting positive word-of-mouth recommendations, providing a conducive learning environment, and building a solid reputation, universities can enhance their appeal and effectively compete in the higher education market. Further research in this area can explore additional factors and delve deeper into the mechanisms influencing students' decision-making when choosing a university. (shrink)

Metacognition is associated with planning, monitoring, evaluating and repairing performance Designers of elearning systems can improve the quality of their environments by explicitly structuring the visual and interactive display of learning contexts to facilitate metacognition. Typically page layout, navigational appearance, visual and interactivity design are not viewed as major factors in metacognition. This is because metacognition tends to be interpreted as a process in the head, rather than an interactive one. It is argued here, that cognition and metacognition are part (...) of a continuum and that both are highly interactive. The tenets of this view are explained by reviewing some of the core assumptions of the situated and distribute approach to cognition and then further elaborated by exploring the notions of active vision, visual complexity, affordance landscape and cue structure. The way visual cues are structured and the way interaction is designed can make an important difference in the ease and effectiveness of cognition and metacognition. Documents that make effective use of markers such as headings, callouts, italics can improve students' ability to comprehend documents and 'plan' the way they review and process content. Interaction can be designed to improve 'the proximal zone of planning' - the look ahead and apprehension of what is nearby in activity space that facilitates decisions. This final concept is elaborated in a discussion of how e-newspapers combine effective visual and interactive design to enhance user control over their reading experience. (shrink)

Sentences with multiple occurrences of plural definites give rise to certain effects suggesting that distributivity should be modeled by polyadic operations. Yet in this paper it is argued that the simpler treatment of distributivity using unary universal quantification should be retained. Seemingly polyadic effects are claimed to be restricted to definite NPs. This fact is accounted for by the special anaphoric (dependent) use of definites. Further evidence concerning various plurals, island constraints, and cumulative quantification is shown to support this claim. (...) In addition, it is shown that the evidence against a simple atomic version of unary distributivity is not decisive either. In the (uncommon) cases where distributivity with definites is not strictly atomic, they can be analyzed as dependent on implicit quantifiers. (shrink)

In Anarchy, State and Utopia Robert Nozick criticizes a broad range of theories of distributive justice using a thought experiment that involves the financial incentives for playing basketball. In this paper, I defend the so-called “patterning” conceptions of justice that are the targets of Nozick’s “Wilt Chamberlain” argument, via the development of an extended analogy between the distribution of politically relevant resources and the playing of games, as this latter activity is characterized by Bernard Suits in his influential book (...) on the subject, The Grasshopper. I argue that the plausibility of this analogy makes possible a more decisive refutation of Nozick’s argument than those suggested by Thomas Nagel and G.A. Cohen. I also briefly speculate about the implications of my game analogy for how philosophers should think about particular types of economic utopianism, especially those that involve conjectures about what human life would be like in a post-scarcity environment. (shrink)

Rational decision making depends on what one believes, what one desires, and what one knows. In conventional decision models, beliefs are represented by probabilities and desires are represented by utilities. Software agents are knowledgeable entities capable of managing their own set of beliefs and desires, and they can decide upon the next operation to execute autonomously. They are also interactive entities capable of filtering communications and managing dialogues. Knowledgeability includes representing knowledge about the external world, reasoning with it, and sharing (...) it. Interactions include negotiations to perform tasks in cooperative, coordinative, and competitive ways. In this paper we focus on decision-making mechanisms for agent-based systems on the basis of agent interaction. We identify possible interaction scenarios and define mechanisms for decision making in uncertain environments. It is believed that software agents will become the underlying technology that offers the capability of distribution of competence, control, and information for the next generation of ubiquitous, distributed, and heterogeneous information systems. (shrink)

The exposure of doctors, nurses and other medical professionals to risks in the context of epidemics is significant. While traditional medical ethics offers the thought that these dangers may limit the extent to which a duty to care is applicable in such situations, it has less to say about what we might owe to medical professionals who are disadvantaged in these contexts. Luck egalitarianism, a responsibility-sensitive theory of distributive justice, appears to fare particularly badly in that regard. If we (...) want to maintain that medical professionals are responsible for their decisions to help, cure and care for the vulnerable, luck egalitarianism seems to imply that their claim of justice to medical attention in case of infection is weak or non-existent. The article demonstrates how a recent interpretation of luck egalitarianism offers a solution to this problem. Redefining luck egalitarianism as concerned with responsibility for creating disadvantages, rather than for incurring disadvantage as such, makes it possible to maintain that medical professionals are responsible for their choices and that those infected because of their choice to help fight epidemics have a full claim of justice to medical attention. (shrink)

This paper analyzes concepts of independence and assumptions of convexity in the theory of sets of probability distributions. The starting point is Kyburg and Pittarelli’s discussion of “convex Bayesianism” (in particular their proposals concerning E-admissibility, independence, and convexity). The paper offers an organized review of the literature on independence for sets of probability distributions; new results on graphoid properties and on the justification of “strong independence” (using exchangeability) are presented. Finally, the connection between Kyburg and Pittarelli’s results and recent developments (...) on the axiomatization of non-binary preferences, and its impact on “complete” independence, are described. (shrink)

Rational decision making depends on what one believes, what one desires, and what one knows. In conventional decision models, beliefs are represented by probabilities and desires are represented by utilities. Software agents are knowledgeable entities capable of managing their own set of beliefs and desires, and they can decide upon the next operation to execute autonomously. They are also interactive entities capable of filtering communications and managing dialogues. Knowledgeability includes representing knowledge about the external world, reasoning with it, and sharing (...) it. Interactions include negotiations to perform tasks in cooperative, coordinative, and competitive ways. In this paper we focus on decision-making mechanisms for agent-based systems on the basis of agent interaction. We identify possible interaction scenarios and define mechanisms for decision making in uncertain environments. It is believed that software agents will become the underlying technology that offers the capability of distribution of competence, control, and information for the next generation of ubiquitous, distributed, and heterogeneous information systems. (shrink)

Metacognition is associated with planning, monitoring, evaluating and repairing performance Designers of elearning systems can improve the quality of their environments by explicitly structuring the visual and interactive display of learning contexts to facilitate metacognition. Typically page layout, navigational appearance, visual and interactivity design are not viewed as major factors in metacognition. This is because metacognition tends to be interpreted as a process in the head, rather than an interactive one. It is argued here, that cognition and metacognition are part (...) of a continuum and that both are highly interactive. The tenets of this view are explained by reviewing some of the core assumptions of the situated and distribute approach to cognition and then further elaborated by exploring the notions of active vision, visual complexity, affordance landscape and cue structure. The way visual cues are structured and the way interaction is designed can make an important difference in the ease and effectiveness of cognition and metacognition. Documents that make effective use of markers such as headings, callouts, italics can improve students’ ability to comprehend documents and ‘plan’ the way they review and process content. Interaction can be designed to improve ‘the proximal zone of planning’ – the look ahead and apprehension of what is nearby in activity space that facilitates decisions. This final concept is elaborated in a discussion of how e-newspapers combine effective visual and interactive design to enhance user control over their reading experience. (shrink)

We demonstrate that the key components of cognitive architectures (declarative and procedural memory) and their key capabilities (learning, memory retrieval, probability judgment, and utility estimation) can be implemented as algebraic operations on vectors and tensors in a high‐dimensional space using a distributional semantics model. High‐dimensional vector spaces underlie the success of modern machine learning techniques based on deep learning. However, while neural networks have an impressive ability to process data to find patterns, they do not typically model high‐level cognition, and (...) it is often unclear how they work. Symbolic cognitive architectures can capture the complexities of high‐level cognition and provide human‐readable, explainable models, but scale poorly to naturalistic, non‐symbolic, or big data. Vector‐symbolic architectures, where symbols are represented as vectors, bridge the gap between the two approaches. We posit that cognitive architectures, if implemented in a vector‐space model, represent a useful, explanatory model of the internal representations of otherwise opaque neural architectures. Our proposed model, Holographic Declarative Memory (HDM), is a vector‐space model based on distributional semantics. HDM accounts for primacy and recency effects in free recall, the fan effect in recognition, probability judgments, and human performance on an iterated decision task. HDM provides a flexible, scalable alternative to symbolic cognitive architectures at a level of description that bridges symbolic, quantum, and neural models of cognition. (shrink)

Although mouse‐tracking has been taken as a real‐time window on different aspects of human decision‐making processes, whether purely semantic information affects response conflict at the level of motor output as measured through mouse movements is still unknown. Here, across two experiments, we investigated the effects of semantic knowledge by predicting participants’ performance in a standard keyboard task and in a mouse‐tracking task through distributional semantics, a usage‐based modeling approach to meaning. In Experiment 1, participants were shown word pairs and were (...) required to perform a two‐alternative forced choice task selecting either the more abstract or the more concrete word, using standard keyboard presses. In Experiment 2, participants performed the same task, yet this time response selection was achieved by moving the computer mouse. Results showed that the involvement of semantic components in the task at hand is observable using both standard reaction times (Experiment 1) as well as using indexes extracted from mouse trajectories (Experiment 2). In particular, mouse trajectories reflected the response conflict and its temporal evolution, with a larger deviation for increasing word semantic relatedness. These findings support the validity of mouse‐tracking as a method to detect deep and implicit decision‐making features. Additionally, by demonstrating that a usage‐based model of meaning can account for the different degrees of cognitive conflict associated with task achievement, these findings testify the impact of the human semantic memory on decision‐making processes. (shrink)

This paper proposes an analytical framework for the analysis of organizational cognition that borrows from distributed and ecological cognition. In so doing, we take a case study featuring a decision on the topic of agreeing on a set point in the agenda of a meeting. It is through the analysis of a few minutes of video-recording used in the case that enables us to demonstrate the power of applying distributed and ecological cognition to organizing processes. Cognitive mechanism, resources, and processes (...) are identified within this combined framework. Mechanisms are described as “socio-material” —where “people” and “artifacts” are the related cognitive resources—and as “conceptual” —with “group” identity, “topic” understanding, meaning of “procedures,” and perception of “time” as resources. Processes are defined as “coupling,” “de-coupling,” and “un-coupled” depending on the type of relation in place. Finally, the paper presents an agent-based computational simulation to demonstrate the potentials of operationalizing this approach. (shrink)

With the development of the division of labor, the household has declined in importance as a unit of economic production. Yet even as the individual wage earner has assumed a central place in modern exchange economies, the household has still been seen as an important unit of distribution, in which wage earners provide for their non-income-producing family members. With the breakdown of the family in recent decades, however, the communal income-sharing function of the family has, in significant part, been taken (...) overby the state. In this essay, I examine this fundamental change in the structure of production and distribution in modern exchange economies. Going beyond this, I propose a new structure of markets–markets for rights to influence collective decision-making within a society. Such markets, I suggest, wouldprovide a source of income for each member of the society. (shrink)

The individualist nature of much contemporary just war theory means that we often discuss cases with single attackers. But even if war is best understood in this individualist way, in war combatants often have to make decisions about how to distribute harms among a plurality of aggressors: they must decide whom and how many to harm, and how much to harm them. In this paper, I look at simultaneous multiple aggressor cases in which more than one distribution of harm (...) among aggressors is available. I show how such cases pose deep questions concerning the nature, role, and scope of the necessity principle, and its relationship to both liability and narrow proportionality. I argue that a hitherto unrecognised measure – ‘narrow proportionality shortfall’ – and its distribution is relevant in choosing how to distribute harms across aggressors. I then extend this analysis to show how this may help us with a puzzle concerning sequential attacks. (shrink)

We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attribute’s subjective value is constructed from a series of binary, ordinal comparisons to a sample of attribute values drawn from memory and is its rank within the sample. We assume that the sample reflects both the immediate distribution of attribute values from the current decision’s context and also the background, real-world distribution of attribute (...) values. DbS accounts for concave utility functions; losses looming larger than gains; hyperbolic temporal discounting; and the overestimation of small probabilities and the underestimation of large probabilities. Ó 2005 Elsevier Inc. All rights reserved. (shrink)

The right to conceive and bear children has been protected both in law and in policy. Human society has from its earliest time valued children and defended procreation as a basic right.Modern health technology offers the possibility of conception to the estimated 2.5 million infertile couples who may wish to have children. For these persons, infertility treatment offers the hope of having children, an activity deemed basic and essential in human society.In general, the state has been reluctant to directly interfere (...) in the reproductive decisions of individuals. However, the state may act to increase or reduce access to reproductive services in a variety of ways. For example, recent legislation regulating fertility clinics affects the distribution of assisted reproductive technology in the United States. The purpose of this paper is to describe this legislation, project its probable effects on the distribution of ART services, and analyze these effects based on distributive theories of justice. (shrink)

In theory and practice, the notion of fairness is far from simple. The principle is often elusive and subject to confusion, even in institutions of law, usage, and custom. In Fairness, Nicholas Rescher aims to liberate this concept from misunderstandings by showing how its definitive characteristics prevent it from being absorbed by such related conceptions as paternalistic benevolence, radical egalitarianism, and social harmonization. Rescher demonstrates that equality before the state is an instrument of justice, not of social utility or public (...) welfare, and argues that the notion of fairness stops well short of a literal egalitarianism. Rescher disposes of the confusions arising from economists' penchant to focus on individual preferences, from decision theorists' concern for averting envy, and from political theorists' sympathy for egalitarianism. In their place he shows how the idea of distributive equity forms the core of the concept of fairness in matters of distributive justice. The coordination of shares with valid claims is the crux of the concept of fairness. In Rescher's view, this means that the pursuit of fairness requires objective rather than subjective evaluation of the goods being shared. This is something quite different from subjective equity based on the personal evaluation of goods by those laying claim to them. Insofar as subjective equity is a concern, the appropriate procedure for its realization is a process of maximum value distribution. Further, Rescher demonstrates that in matters of distributive justice, the distinction between new ownership and preexisting ownership is pivotal and calls for proceeding on very different principles depending on the case. How one should proceed depends on context, and what is adjudged fair is pragmatic, in that there are different requirements for effectiveness in achieving the aims and purposes of the sort of distribution that is intended. Rescher concludes that fairness is a fundamentally ethical concept. Its distinctive modus operandi contrasts sharply with the aims of paternalism, preference-maximizing, or economic advantage. Fairness will be of interest to philosophers, economists, and political scientists. "[Fairness is] one of the most forceful conceptual analysis of fairness yet produced." -Ludwig Beckman, The Review of Metaphysics Nicholas Rescher is University Professor of Philosophy and vice chairman of the Center for Philosophy of Science at the University of Pittsburgh. He has written more than seventy books in various areas of philosophy, including Complexity: A Philosophical Overview and Inquiry Dynamics, both published by Transaction. (shrink)

This article explores the use of model organisms in studying the cognitive phenomenon of decision-making. Drawing on the framework of biological control to develop a skeletal conception of decision-making, we show that two core features of decision-making mechanisms can be identified by studying model organisms, such as E. coli, jellyfish, C. elegans, lamprey, and so on. First, decision mechanisms are distributed and heterarchically structured. Second, they depend heavily on chemical information processing, such as that involving neuromodulators. We end by discussing (...) the implications for studying distinctively human decision-making. (shrink)