Recently, in the framework of a relativistic quantum theory with invariant evolution parameter, solutions have been found for the two-body bound state, whose mass spectrum agrees with the nonrelativistic Schrödinger energy spectrum. In this paper, we study the radiative transitions of these states in the dipole approximation and find that the selection rules are identical with those of the usual nonrelativistic theory, expressed in a manifestly covariant form. In addition to the transverse and longitudinal polarizations of the nonrelativistic theory, (...) we find a “scalar” transition, induced by the relative time coordinate, which is of the same type as the longitudinal transition, expressing the Lorentz covariance of the theory. (shrink)

The integrodifferential equations satisfied by the statistical frequency functions for physical systems undergoing stochastic transitions are derived by application of a causality principle and selection rules to the Markov chain equations. The result equations can be viewed as generalizations of the diffusion equation, but, unlike the latter, they have a direct bearing onactive transport problems in biophysics andcondensation aggregation problems of astrophysics and phase transition theory. Simple specific examples of the effects of severe selection rules, such as the (...) relaxational Boltzmann transport equation and the diffusion equation, are also given. Finally, partial differential equations for the probability amplitudes of quantum mechanics are derived, usingunitarity instead of causality, and a selection rule is applied directly to obtain ageneralization of the Dirac equation in which infinite transitions between states arenot allowed. (shrink)

According to the so-called Quantum Darwinist approach, the emergence of "classical islands" from a quantum background is assumed to obey a (selection) principle of maximal information. We illustrate this idea by considering the coupling of two oscillators (modes). As our approach suggests that the classical limit could have emerged throughout a long and progressive Evolution mechanism, it is likely that primitive living organisms behave in a "more quantum", "less classical" way than more evolved ones. This brings us to seriously (...) consider the possibility to measure departures from classicality exhibited by biological systems. We describe an experimental proposal the aimed at revealing the presence of entanglement in the biophotonic radiation emitted by biological sources. (shrink)

Pettit presents a selection of essays touching upon metaphysics, philosophical psychology, and the theory of rational regulation. The first part of the book discusses the rule-following character of thought. The second considers how choice can be responsive to different sorts of factors, while still being under the control of thought. The third examines the implications of this view of choice and rationality for the normative regulation of social behavior.

In the pathbreaking essays collected here, Neumann and Kirchheimer demonstrate that the death of democracy and the rise of fascism during the first half of the twentieth century suggest crucial lessons for contemporary political and legal scholars. The volume includes writings on constitutionalism, political freedom, Nazism, sovereignty, and both Nazi and liberal law. Most important, the Frankfurt authors point to the continuing efficacy of the rule of law as an instrument for regulating and restraining state authority, as well as (...) ominous evidence of the rule of law's fragility in modern liberal democracy. (shrink)

According to the so-called Quantum Darwinist approach, the emergence of “classical islands” from a quantum background is assumed to obey a principle of maximal information. We illustrate this idea by considering the coupling of two oscillators. As our approach suggests that the classical limit could have emerged throughout a long and progressive Evolution mechanism, it is likely that primitive living organisms behave in a “more quantum”, “less classical” way than more evolved ones. This brings us to seriously consider the possibility (...) to measure departures from classicality exhibited by biological systems. We describe an experimental proposal the aimed at revealing the presence of entanglement in the biophotonic radiation emitted by biological sources. (shrink)

As biomedical research with volunteers was expanded in the United States, the rule of subject selection, constituting scientific and ethical criteria, was generated in 1981 to resolve selection bias in research. Few historical studies, however, have investigated the role of this new hybrid rule in institutional review systems. This paper describes how bioethics commissions and federal agencies have created the subject selection rule based on the concept of justice. I argue that the standardization of (...) this rule as temporal measures, linked with risk-benefit assessment, has reformed the review mechanism, specifically investigators’ modification of research plans, thereby developing justice as balancing. (shrink)

Rules are meant to apply equally to all within their jurisdiction. However, some rules are frequently broken without consequence for most. These rules are only occasionally enforced, often at the discretion of a third-party observer. We propose that these rules—whose violations are frequent, and enforcement is rare—constitute a unique subclass of explicitly codified rules, which we call ‘phantom rules’ (e.g., proscribing jaywalking). Their apparent punishability is ambiguous and particularly susceptible to third-party motives. Across six experiments, (N = 1440) we validated (...) the existence of phantom rules and found evidence for their motivated enforcement. First, people played a modified Dictator Game with a novel frequently broken and rarely enforced rule (i.e., a phantom rule). People enforced this rule more often when the “dictator” was selfish (vs. fair) even though the rule only proscribed fractional offers (not selfishness). Then we turned to third person judgments of the U.S. legal system. We found these violations are recognizable to participants as both illegal and commonplace (Experiment 2), differentiable from violations of prototypical laws (Experiments 3) and enforced in a motivated way (Experiments 4a and 4b). Phantom rule violations (but not prototypical legal violations) are seen as more justifiably punished when the rule violator has also violated a social norm (vs. rule violation alone)—unless the motivation to punish has been satiated (Experiment 5). Phantom rules are frequently broken, codified rules. Consequently, their apparent punishability is ambiguous, and their enforcement is particularly susceptible to third party motives. (shrink)

Taking a Darwinian approach, we propose that people reason to detect free-riders on the Wason Selection task with the sharing-rule; If one receives the resource, one is an in-group member (standard), or If one is an in-group member, one receives the resource (switched). As predicted, taking the resource-provider's perspective, both undergraduates and children (11 to 12 years old) checked for the existence of out-group members taking undeserved resource. Changing the perspective to that of the resource-recipient did not alter (...) the selection pattern in undergraduates, although the prediction was that another type of free-riding -failure to share by resource-provider- would be checked as well. However, by removing confounding factors in the materials, both undergraduates and children checked for both types of free-riding, which fully supports the prediction. These results indicate that the sharing-rule elicits a thematic content effect that cannot be explained by preceding deontic reasoning theories. (shrink)

This article presents a rule-utilitarian theory which lies much closer to the social contract tradition than most other forms of consequentialism do: calculated-rates rule preference utilitarianism. Being preference-utilitarian allows the theory to be grounded in instrumental rationality and the equality of agents, as opposed to teleological assumptions about impartial goodness. The calculated-rates approach, judging rules’ consequences by what would happen if they were accepted by whatever number of people is realistic rather than by what would happen if they (...) were accepted universally or by exactly 90% of the population, allows it to select rules based not just on their ability to give good advice to their followers but also on their ability to attract followers in the first place. The result is a theory that, although fully utilitarian and not at all pluralistic or intuitionist, nevertheless offers a principled justification for giving some weight to seemingly non-utilitarian considerations: Lockean natural rights, Kantian respect for autonomy, and Scanlonian distributive justice. (shrink)

Causal discovery becomes especially challenging when the possibility of latent confounding and/or selection bias is not assumed away. For this task, ancestral graph models are particularly useful in that they can represent the presence of latent confounding and selection effect, without explicitly invoking unobserved variables. Based on the machinery of ancestral graphs, there is a provably sound causal discovery algorithm, known as the FCI algorithm, that allows the possibility of latent confounders and selection bias. However, the orientation (...) rules used in the algorithm are not complete. In this paper, we provide additional orientation rules, augmented by which the FCI algorithm is shown to be complete, in the sense that it can, under standard assumptions, discover all aspects of the causal structure that are uniquely determined by facts of probabilistic dependence and independence. The result is useful for developing any causal discovery and reasoning system based on ancestral graph models. (shrink)

A dynamical analysis of standard procedures for subensemble selection is used to show that the state restriction violation proposal in Part I of the paper cannot be realized by employing familiar correlation schemes. However, it is shown that measurement of an observable not commuting with the superselection operator is possible, a violation of the observable restrictions. This is interpreted as supporting the position that each of these restrictions is sufficient but not necessary for the superselection rule. The results (...) do constitute a proposal for superselection rule violation in theories requiring both restrictions, e.g., the axiomatic treatment by Bogolubov, Logunov, and Todorov. It is also concluded that superselection rules place restrictions on procedures for selective state preparations using correlations. More generally, it is conjectured that a mathematically conceivable decomposition of a given density operator does not necessarily represent a possibility for partitioning of the corresponding ensemble into subensembles by any physically realizable means. (shrink)

Page proposes a simple, localist, lateral inhibitory network for implementing a selection process that approximately conforms to the Luce choice rule. I describe another localist neural mechanism for selection in accordance with the Luce choice rule. The mechanism implements an independent race model. It consists of parallel, independent nerve fibers connected to a winner-take-all cluster, which records the winner of the race.

Here is a widespread but controversial idea: those animals who represent correctly are likely to be selected over those who misrepresent. While various versions of this claim have been traditionally endorsed by the vast majority of philosophers of mind, recently, it has been argued that this is just plainly wrong. My aim in this paper is to argue for an intermediate position: that the correctness of some but not all representations is indeed selectively advantageous. It is selectively advantageous to have (...) correct representations that are directly involved in bringing about and guiding the organism's action. I start with the standard objection to the claim that it is selectively advantageous to represent correctly, the ‘better safe than sorry’ argument gand then generalize it with the help of Peter Godfrey Smith's distinction between Cartesian and Jamesian reliability and the trade‐off between them. This generalized argument rules out a positive answer to our question at least as far as the vast majority of our representational apparatus is concerned. But this argument fails to apply in the case of the correctness of a special kind of representation, one that is directly involved in bringing about, and in guiding, actions. We can still maintain that it is selectively advantageous to have a reliable mechanism for producing representations of this kind. (shrink)

This paper explores the linkage between electoral systems and candidate selection methods by analyzing two innovations of CSMs in Taiwan and Japan: polling primary and kobo, respectively. With an assumption that partiesno-finding’ conclusion in some previous large-N studies on the linkage between electoral systems and choices of CSMs. Additionally, our findings highlight the importance of institutional factors, such as electoral systems, in explaining CSM reforms in a comparative perspective.

Rule-Consequentialism faces “the problem of partial acceptance”: How should the ideal code be selected given the possibility that its rules may not be universally accepted? A new contender, “Calculated Rates” Rule-Consequentialism claims to solve this problem. However, I argue that Calculated Rates merely relocates the partial acceptance question. Nevertheless, there is a significant lesson from this failure of Calculated Rates. Rule-Consequentialism’s problem of partial acceptance is more helpfully understood as an instance of the broader problem of selecting (...) the ideal code given various assumptions—assumptions about who will accept and comply with the rules, but also about how the rules will be taught and enforced, and how similar the future will be. Previous rich discussions about partial acceptance provide a taxonomy and groundwork for formulating the best version of Rule-Consequentialism. (shrink)

Schizophrenia has attracted more than its fair share of evolutionary-based theories. The theories involving balancing selection are based on the assumption that the incidence of schizophrenia is invariant across time and place. Modern epidemiology allows us to reject this dogmatic belief. Once variations in the genetic and epidemiological landscape of schizophrenia are acknowledged, more productive research models can be generated. (Published Online November 9 2006).

The theory of morality we can call full rule - consequentialism selects rules solely in terms of the goodness of their consequences and then claims that these rules determine which kinds of acts are morally wrong. George Berkeley was arguably the first rule -consequentialist. He wrote, “In framing the general laws of nature, it is granted we must be entirely guided by the public good of mankind, but not in the ordinary moral actions of our lives. … The (...) rule is framed with respect to the good of mankind; but our practice must be always shaped immediately by the rule.” Writers often classed as rule -consequentialists include Austin 1832; Harrod 1936; Toulmin 1950; Urmson 1953; Harrison 1953; Mabbott 1953; Singer 1955; 1961; and most prominently Brandt 1959; 1963; 1967; 1979; 1989; 1996; and Harsanyi 1977; 1982; 1993. See also Rawls 1955; Hospers 1972; Haslett 1987; 1994, ch. 1; 2000; Attfield 1987, 103-12; Barrow 1991, ch. 6; Johnson 1991; Riley 1998; 2000; Shaw 1999; and Hooker 2000. Whether J. S. Mill's ethics was rule -consequentialist is controversial. (shrink)

It is argued in this paper that a multimodal analysis of turn-taking, one of the core areas of conversation analytic research, is needed and has to integrate gaze as one of the most central resources for allocating turns, and that new technologies are available that can provide a solid and reliable empirical foundation for this analysis. On the basis of eye-tracking data of spontaneous conversations, it is shown that gaze is the most ubiquitous next-speaker-selection technique. It can function alone (...) or enhance other techniques. I also discuss the interrelationship between the strength for sequential projection and the choice of next-speaker-selection techniques by a current speaker. The appropriate consideration of gaze leads to a revision of the turn-taking model in that it reduces the domain of self-selection and expands that of the current-speaker-selects-next sub-rule. It also has consequences for the analysis of “simultaneous starts”. (shrink)

This PhD dissertation examines the conceptual and theoretical foundations of the most general and most widely used framework for understanding social evolution, W. D. Hamilton's theory of kin selection. While the core idea is intuitive enough (when organisms share genes, they sometimes have an evolutionary incentive to help one another), its apparent simplicity masks a host of conceptual subtleties, and the theory has proved a perennial source of controversy in evolutionary biology. To move towards a resolution of these controversies, (...) we need a careful and rigorous analysis of the philosophical foundations of the theory. My aim in this work is to provide such an analysis. I begin with an examination of the concepts behavioural ecologists employ to describe and classify types of social behaviour. I stress the need to distinguish concepts that are often conflated: for example, we need to distinguish simple cooperation from collaboration in collective tasks, behaviours from strategies, and control from manipulation and coercion. I proceed from here to the formal representation of kin selection via George R. Price’s covariance selection mathematics. I address a number of interpretative issues the Price formalism raises, including the vexed question of whether kin selection theory is ‘formally equivalent’ to multi-level selection theory. In the second half of the dissertation, I assess the uses and limits of Hamilton’s rule for the evolution of social behaviour; I provide a precise statement of the conditions under which the rival neighbour-modulated fitness and inclusive fitness approaches in contemporary kin selection theory are equivalent (and describe cases in which they are not); and I criticize recent formal attempts to establish the controversial claim that kin selection leads to organisms behaving as if maximizing their inclusive fitness. (shrink)

Hamilton’s theory of kin selection is the best-known framework for understanding the evolution of social behavior but has long been a source of controversy in evolutionary biology. A recent critique of the theory by Nowak, Tarnita, and Wilson sparked a new round of debate, which shows no signs of abating. In this overview, we highlight a number of conceptual issues that lie at the heart of the current debate. We begin by emphasizing that there are various alternative formulations of (...) Hamilton’s rule, including a general version, which is always true; an proximate version, which assumes weak selection; and a special version, which demands other restrictive assumptions. We then examine the relationship between the neighbor-modulated fitness and inclusive fitness approaches to kin selection. Finally, we consider the often-strained relationship between the theories of kin and multilevel selection. (shrink)

In emergency situations and while medical resources are sufficient, doctors are expected to prioritize and treat patients according to medical criteria only. In MASSCAL situations and when medical resources become insufficient, patient selection and prioritization changes. Rules of triage are applied with the aim of getting the best result possible under the circumstances, e.g., saving the largest number; collective health outweighs individual health. Still, according to the standard ethical principles, non-medical criteria should never influence the doctors’ decision of who (...) will be treated. In military contexts, so-called medical rules of eligibility (MROE) provide rules that include non-medical criteria. This chapter aims to analyze if, why, and under what circumstances it may be ethically acceptable to prioritize patients according to non-medical criteria. (shrink)

Human cooperation is highly unusual. We live in large groups composed mostly of non-relatives. Evolutionists have proposed a number of explanations for this pattern, including cultural group selection and extensions of more general processes such as reciprocity, kin selection, and multi-level selection acting on genes. Evolutionary processes are consilient; they affect several different empirical domains, such as patterns of behavior and the proximal drivers of that behavior. In this target article, we sketch the evidence from five domains (...) that bear on the explanatory adequacy of cultural group selection and competing hypotheses to explain human cooperation. Does cultural transmission constitute an inheritance system that can evolve in a Darwinian fashion? Are the norms that underpin institutions among the cultural traits so transmitted? Do we observe sufficient variation at the level of groups of considerable size for group selection to be a plausible process? Do human groups compete, and do success and failure in competition depend upon cultural variation? Do we observe adaptations for cooperation in humans that most plausibly arose by cultural group selection? If the answer to one of these questions is “no,” then we must look to other hypotheses. We present evidence, including quantitative evidence, that the answer to all of the questions is “yes” and argue that we must take the cultural group selection hypothesis seriously. If culturally transmitted systems of rules (institutions) that limit individual deviance organize cooperation in human societies, then it is not clear that any extant alternative to cultural group selection can be a complete explanation. (shrink)

In an incendiary 2010 Nature article, M. A. Nowak, C. E. Tarnita, and E. O. Wilson present a savage critique of the best-known and most widely used framework for the study of social evolution, W. D. Hamilton’s theory of kin selection. More than a hundred biologists have since rallied to the theory’s defence, but Nowak et al. maintain that their arguments ‘stand unrefuted’. Here I consider the most contentious claim Nowak et al. defend: that Hamilton’s rule, the core (...) explanatory principle of kin selection theory, ‘almost never holds’. I first distinguish two versions of Hamilton’s rule in contemporary theory: a special version (HRS) that requires restrictive assumptions, and a general version (HRG) that does not. I then show that Nowak et al. are most charitably construed as arguing that HRS almost never holds, while HRG buys its generality at the expense of explanatory power. While their arguments against HRS are fairly uncontroversial, their arguments against HRG are more contentious, yet these have been largely overlooked in the ensuing furore. I consider the arguments for and against the explanatory value of HRG, with a view to assessing what exactly is at stake in the debate. I suggest that the debate hinges on issues concerning the causal interpretability of regression coefficients, and concerning the explanatory function Hamilton’s rule is intended to serve. (shrink)

Mental models theorists have proposed that reasoners tend to focus on what is explicit in their mental models, and that certain debiasing procedures can induce them to direct their attention to other relevant information. For instance, Green and Larking 1995; also Green, 1995a facilitated performance on the Wason selection task by inducing participants to consider counterexamples to the conditional rule. However, these authors acknowledged that one aspect of their data might require some modification to the mental models theory. (...) This research is discussed here, and it is suggested that the results may be better accommodated by mental inference rules theory than by mental models theory. (shrink)

Recently, big data analytics have gained significant attention in healthcare industry due to generation of massive quantities of data in various forms such as electronic health records, sensors, medical imaging, and pharmaceutical details. However, the data gathered from various sources are intrinsically uncertain owing to noise, incompleteness, and inconsistency. The analysis of such huge data necessitates advanced analytical techniques using machine learning and computational intelligence for effective decision making. To handle data uncertainty in healthcare sector, this article presents a novel (...) metaheuristic rough set-based feature selection with rule-based medical data classification technique on MapReduce framework. The proposed MRSFS-RMDC technique designs a butterfly optimization algorithm for minimal rough set selection. In addition, Hadoop MapReduce is applied to process massive quantity of data. Moreover, a rule-based classification approach named Repeated Incremental Pruning for Error Reduction is used with the inclusion of a set of conditional rules. The RIPPER will scale in a linear way with the number of training records utilized and is suitable to build models with data uncertainty. The proposed MRSFS-RMDC technique is validated using benchmark dataset and the results are inspected under varying aspects. The experimental results highlighted the supremacy of the MRSFS-RMDC technique over the recent state of art methods in terms of different performance measures. The proposed methodology has achieved a higher F-score of 96.49%. (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 article argues that common intuitions regarding (a) the specialness of ‘use-novel’ data for confirmation and (b) that this specialness implies the ‘no-double-counting rule’, which says that data used in ‘constructing’ (calibrating) a model cannot also play a role in confirming the model’s predictions, are too crude. The intuitions in question are pertinent in all the sciences, but we appeal to a climate science case study to illustrate what is at stake. Our strategy is to analyse the intuitive claims (...) in light of prominent accounts of confirmation of model predictions. We show that on the Bayesian account of confirmation, and also on the standard classical hypothesis-testing account, claims (a) and (b) are not generally true; but for some select cases, it is possible to distinguish data used for calibration from use-novel data, where only the latter confirm. The more specialized classical model-selection methods, on the other hand, uphold a nuanced version of claim (a), but this comes apart from (b), which must be rejected in favour of a more refined account of the relationship between calibration and confirmation. Thus, depending on the framework of confirmation, either the scope or the simplicity of the intuitive position must be revised. 1 Introduction2 A Climate Case Study3 The Bayesian Method vis-à-vis Intuitions4 Classical Tests vis-à-vis Intuitions5 Classical Model-Selection Methods vis-à-vis Intuitions 5.1 Introducing classical model-selection methods 5.2 Two cases6 Re-examining Our Case Study7 Conclusion. (shrink)